Quantum Information Processing using Nuclear Magnetic Resonance (NMR): What can be done and How to do it?
|
|
- Shannon Burke
- 6 years ago
- Views:
Transcription
1 Quantum nformation Processing using Nuclear Magnetic Resonance (NMR): What can be done and How to do it? Anil Kumar Centre for Quantum nformation and Quantum Computing (CQQC) ndian nstitute of Science, Bangalore Quantum nformation Processing: School HR-Allahabad- Feb 5, 0
2 Centre for Quantum nformation and Quantum Computing (CQQC) (At ndian nstitute of Science, Bangalore) nvestigators: Prof. Anil Kumar Prof. Vasant Natarajan Dr. P.S. Anil Kumar Dr. Arindam Ghosh Prof. K.V. Ramanathan Prof. Apoorva Patel Prof. Rahul Pandit Prof. H.R. Krishnamurthy Prof. N.D. Hari Dass Prof. C.E. Veni Madhavan Dr. Subroto Mukerjee Prof. Diptiman Sen Funded by Department of Science and Technology, New Delhi June-00- June-05
3 Activities of the Centre. Bring the experimentalists and the theorists working in the area of Quantum nformation, Quantum Computation and Foundations of Quantum Mechanics together. We have already organized about a dozen lectures (nearly one per month).. Exchange of information, collaboration and cross-fertilization of ideas leading to consolidation of efforts in this important area. 3. nvite National and nternational experts and have colloquia, seminars and lectures, with the aim of exchanging information, ideas and collaboration. We have provision for Visiting Scientists, Post-Docs and Project Assistants positions. 4. Organize schools and workshops to train young researchers in the field. 5. Channelize/assist/expedite/inspire and focus research in different experimental areas of Quantum nformation and Computation, such as (a) quantum dots, (b) NMR, (c) superconducting devices, (d) lasers and (e) trapped ions, with added experimental facilities.
4 The Centre for QQC has the unique feature of combining experimental and theoretical work under one umbrella. The various areas in which the Centre is consolidating its efforts are:
5 Experimental nvestigations. Nuclear Magnetic Resonance: Prof. Anil Kumar and Prof. K.V. Ramanathan. on Trap: Prof. Vasant Natarajan 3. Superconducting Qubits: Dr. P.S. Anil Kumar 4. Quantum Dots: Dr. Arindam Ghosh
6 Theoretical nvestigations. Quantum Algorithms: Prof. Apoorva Patel. Study of entanglement in quantum many body systems: Prof. Rahul Pandit and Dr. Subroto Mukerjee 3. Theoretical support to experimental efforts: Prof. H.R. Krishnamurthy 4. Foundational aspects of quantum theory: Prof. Hari Dass 5. Computer science effort: Prof. Veni Madhavan
7 Liquid-State Room-Temperature NMR: Using spins in molecules as qubits: -- Pseudo-Pure States (PPS) -- One qubit Gates -- Multiqubit Gates -- mplementation of DJ and Grover s Algorithms -- How to increase the number of Qubits -- Quadrupolar Nuclei as multiqubits -- Spin as qudit -- Dipolar Coupled spin ½ Nuclei- up to 8 qubits -- Geometric Phase and its use in Quantum Algorithms -- Quantum Games -- Adiabatic Algorithms
8 Acknowledgements Former QC- Sc-Associates/Students Dr. Arvind Dr. Kavita Dorai Dr. T.S. Mahesh Dr. Neeraj Sinha Dr. K.V.R.M.Murali Dr. Ranabir Das Dr. Rangeet Bhattacharyya Dr.Arindam Ghosh Dr. Avik Mitra Dr. T. Gopinath Dr. Pranaw Rungta Dr. Tathagat Tulsi - SER Mohali - SER Mohali - SER Pune - CBMR Lucknow - BM, Bangalore - NCF/NH USA - SER Kolkata - NSER-Bhubaneswar - Varian Pune - Univ. Minnesota - SER Mohali T Bombay This lecture is dedicated to the memory of Ms. Jharana Rani Samal* (*Deceased, Nov.,, 009) Current QC Sc - Students Mr. Rama K. Koteswara Rao Mr. V.S. Manu Other Sc Collaborators Prof. Apoorva Patel Prof. K.V. Ramanathan Prof. N. Suryaprakash Other Collaborators Prof. Malcolm H. Levitt - UK Prof. P.Panigrahi SER Kolkata Dr. Arun K. Pati OP +HR Mr. Ashok Ajoy BTS-Goa-MT Funding: DST/DAE/DBT
9 DSX 300 AV 700 NMR Research Centre, Sc Field/Fr equency stability = :0 9 ppb DRX 500 AV 500 AMX 400
10 ntroduction to QC/QP
11 All present day computers (classical computers) use binary (0,) logic, and all computations follow this Yes/No answer. Feynman (98) suggested that it might be possible to simulate the evolution of quantum systems efficiently, using a quantum simulator What is Special about Quantum Systems? Coherent Superposition Classical bit 0 Qubit 0 c 0 + c New Possibilities Entanglement EPR States: (-/) ( 00 + ) NOT resolvable into tensor product of individual particles ( 0 + ) ( 0 + ) Quantum Computation Teleportation
12 Quantum Algorithms. PRME FACTORZATON Classically : exp [(ln c) /3 (ln ln c) /3 ] Shor s algorithm : (994) (ln c) digit 0 0 years (Age of the Universe) 3 years. SEARCHNG UNSORTED DATA-BASE Classically : N/ operations Grover s Search Algorithm : (997) N operations 3. DSTNGUSH CONSTANT AND BALANCED FUNCTONS: Classically : ( N- + ) steps Deutsch-Jozsa(DJ) Algorithm : (99). step 4. Quantum Algorithm for Linear System of Equation: A.W. Harrow, A. Hassidim and Seth Lloyd; PRL, 03, 5050 (009). Exponential speed-up
13 Recent Developments 5. Simulating a Molecule: Using Aspuru-Guzik Algorithm (i) J.Du, et. al, Phys. Rev. letters 04, (00). Used a -qubit NMR System ( 3 CHCl 3 ) to calculated the ground state energy of Hydrogen Molecule up to 45 bit accuracy. (ii) Lanyon et. al, Nature Chemistry, 06 (00). Used Photonic system to calculate the energies of the ground and a few excited states up to 0 bit precision.
14 Experimental Techniques for Quantum Computation:. Trapped ons. Polarized Photons Lasers 3. Cavity Quantum Electrodynamics (QED) on Trap: Linear Paul-Trap kv Laser Cooled ons T ~ mk ~ 6 MHz kv 4. Quantum Dots 5. Cold Atoms 6. NMR 7. Josephson junction qubits 8. Fullerence based ESR quantum computer
15 ntroduction to NMR QP
16 Nuclear Magnetic Resonance (NMR). Nuclear spins have small magnetic moments () and behave as tiny quantum magnets.. When placed in a large magnetic field B 0, they oriented either along the field ( 0 state) or opposite to the field ( state). 3. A transverse radiofrequency field (B ) tuned at the Larmor frequency of spins can cause transition from 0 to (NOT Gate by a 80 0 pulse). Or put them in coherent superposition (Hadamard Gate by a 90 0 pulse). Single qubit gates. 4. Spins are coupled to other spins by indirect spin-spin (J) coupling, and controlled (C-NOT) operations can be performed using J-coupling. Multi-qubit gates SPNS ARE QUBTS 0 B
17 NMR sample has ~ 0 8 spins. Do we have 0 8 qubits? No - because, all the spins can t be individually addressed. Progress so far Spins having different Larmor frequencies can be individually addressed in the Frequency Space. As many Larmor Frequencies as many qubits One needs resolved couplings between the spins in order to encode information as qubits.
18 NMR Hamiltonian H = H Zeeman + H J-coupling = w i zi + J ij i j i i < j Weak coupling Approximation w i - w j >> J ij Two Spin System (AM) bb = A = M M = A ab = 0 ba = 0 H = w i zi + J ij zi zj i i < j Spin Product States are Eigenstates Under this approximation all spins having same Larmor Frequency can be treated as one Qubit. M = 0 A A A aa = 00 A = 0 M M M Different Larmor frequencies = Different Qubits w A w M
19 An example of a three qubit system. A molecule having three different nuclear spins having different Larmor frequencies all coupled to each other forming a 3-qubit system 3 CHFBr H = 500 MHz 3 C = 5 MHz 9 F = 470 MHz
20 Homo-nuclear spins having different Chemical shifts (Larmor frequencies) also form multi-qubit systems Qubit Qubits 3 Qubits CHCl
21 . Preparation of Pseudo-Pure States. Quantum Logic Gates 3. Deutsch-Jozsa Algorithm 4. Grover s Algorithm 5. Hogg s algorithm 6. Berstein-Vazirani parity algorithm 7. Quantum Games 8. Creation of EPR and GHZ states 9. Entanglement transfer Achievements of NMR - QP 0. Quantum State Tomography. Geometric Phase in QC. Adiabatic Algorithms 3. Bell-State discrimination 4. Error correction 5. Teleportation 6. Quantum Simulation 7. Quantum Cloning 8. Shor s Algorithm 9. No-Hiding Theorem Also performed in our Lab. Maximum number of qubits achieved in our lab: 8
22 The two methods Coupling (J) Evolution Examples XOR y x z + z /4J /4J z + z z y z + x (/J) z + z y x Transition-selective Pulses NOT p 0 0 p p 0 0
23 y x -y y x -y SWAP 0 p 0 p p 3 00 y y -x -x Toffoli p y y -x x non-selective p pulse + a p on OR/NOR p
24 Pure States: Tr(ρ ) = Tr ( ρ ) = For a diagonal density matrix, this condition requires that all energy levels except one have zero populations. Such a state is difficult to create in NMR Pseudo-Pure States Under High Temperature Approximation ρ = /N ( α - Δρ ) Here α = 0 5 and U U - = We create a state in which all levels except one have EQUAL populations. Such a state mimics a pure state.
25 Pseudo-Pure State n a two-qubit Homo-nuclear system: (i) Equilibrium: ρ = Δρ = {,,, 0} (ii) Pseudo-Pure Δρ = {4, 0, 0, 0}
26 Preparation of Pseudo-pure states Spatial Averaging Logical Labeling Temporal Averaging Cory, Price, Havel, PNAS, 94, 634 (997) N. Gershenfeld et al, Science, 75, 350 (997) Kavita, Arvind, Anil Kumar, PRA 6, (000) E. Knill et al., PRA, 57, 3348 (998) Pairs of Pure States (POPS) B.M. Fung, Phys. Rev. A 63, 0304 (00) Spatially Averaged Logical Labeling Technique (SALLT) T. S. Mahesh and Anil Kumar, PRA 64, 0307 (00) Using long lived Singlet States S.S. Roy and T.S. Mahesh, PRA, (in press) 00.
27 Spatial Averaging: Cory, Price, Havel, PNAS, 94, 634 (997) z = / z = / z z = / z + z + z z = / Pseudo-pure state Eq.= z + z (p/3) X () (p/4) X () p (p/4) Y () z + z + z z /J G x
28 . Logical Labeling N. Gershenfeld et al, Science, 997, 75, 350 Kavita, Arvind, and Anil Kumar Phys. Rev. A, 000, 6, DRX-500 SF
29 3. Temporal Averaging p p 0 0 = Pseudo-pure state E. Knill et al., PRA, 57, 3348 (998)
30 4. Pseudo Pure State by SALLT: (Spatially Averaged Logical Labeling Technique) This method does not scale with number of qubits Subsystem Pseudo-pure states of qubits T. S. Mahesh and Anil Kumar, PRA 64, 0307 (00)
31 Relaxation of Pseudopure states Cross Correlations retard the relaxation of some PPS Open circles 00; Filled circles PPS Arindam Ghosh and Anil Kumar, J. Magn. Reson., 73, 5 (005).
32 Logic Gates using NMR
33 Single qubit gates NOT gate Hadamard gate Phase shift gate Composit z-pulse Single qubit gates can be obtained by applying qubit selective pulses (spin selective pulses)
34 Multi-qubit gates Quantum computing also requires the implementation of unitary operators on a qubit cont to the states of other qubits, such gates are called multi-qubit gates. These gates can be implemented by, (i) J-evolution method (ii) Trnasition selective pulses J-evolution method: The evolution of J-couplings and RF pulses are used. The Hamiltonian of J-coupling, x -y
35 Logic Gates XOR (Exclusive OR or C-NOT) NOT e, e U XOR e, e e e, e U NOT e, e e e e e e e N e e NPUT OUTPUT p p NPUT OUTPUT 0 p p p 0 0 p 00
36 Logic Gates Using D NMR NOT( ) XOR XOR Kavita Dorai, PhD Thesis, Sc, 000.
37 Logical SWAP e, e e e 0 p 0 p 00 p e, e Kavita, Arvind, and Anil Kumar Phys. Rev. A, 000, 6, p 3 NPUT p OUTPUT XOR+SWAP
38 Toffoli Gate = C -NOT e, e, e 3 e, e, e 3 (e e ) AND NAND ^ nput Output p e e e 3 Eqlbm. Toffoli e e e 3 Kavita Dorai, PhD Thesis, Sc, 000.
39 CNOT GATE r + eq z z p r = + z x r = z z y r = + 4 z z z p y p z p x N OUT 00> ( + ) + 00> 0> 0> req r4 ( - ) ( ) ( - ) x y 0> - - > ( ) - ( - ) > 0> - ( + ) - ( + )
40 p y p y p p p x p x p p p p SWAP GATE - y - y 0 00 ( + ) 0 ( - ) - ( - ) - ( + ) r + eq z z 3 4 r = + r r x x = y z y z = z y z y r = +, p x J 4 x x, 00> 0> 0> > ( + ) p -x 5 r 5 = z + z Cory et al., ~997 - ( - ) ( - ) - ( + ) ( + ) - - ( - ) ( - ) ( + )
41 Logic Gates By D NMR
42 D NMR Quantum Computing Scheme Preparation Evolution Mixing Detection y -y y 0, etc. t t Computation G z Creation of nitial States Labeling of the initial states Computation Reading output states Ernst & co-workers, J. Chem. Phys., 09, 0603 (998).
43 Three-spin system: 0 H H Br C C COOH H Br Transitions of 0 are labeled by the states of and
44 Two-Dimensional Gates A complete set of 4 Reversible, One-to-one, -qubit Gates T. S. Mahesh, Kavita Dorai, Arvind and Anil Kumar, JMR, 48, 95, (00)
45 NPUT Three-qubit D-Gates: NOP NOT TOFFOL OR/NOR w T. S. Mahesh,et al, JMR,48, 95, w OUTPUT
46 Quantum Algorithms (a) DJ (b) Grover s Search
47 Operator DJ algorithm on ONE qubit with one work bit: Constant Balanced x f (x) f (x) f 3 (x) f 4 (x) U f x y x y f(x) Cleve Version x is input qubit and y is work qubit U f /P O/P Constant Balanced x y f (x) y f (x) f (x) y f (x) f 3 (x) y f 3 (x) f 4 (x) y f 4 (x) U f NOT- C-NOT-, C-NOT-,
48 Deutsch-Jozsa Algorithm Experiment One qubit DJ Two qubit DJ Eq Kavita, Arvind, Anil Kumar, Phys. Rev. A 6, (000)
49 Steps: Pure State Grover s Algorithm Superposition Selective Phase nversion Avg Grover iteration nversion about Average N times Measure
50 Grover s search algorithm by Tomography of the Density Matrix using D NMR -qubitcomputer (N,N-dimethyl formamide) H 3 C N 3 C H H 3 C O 3 C : T =5s ; H: T = 5s (eq)-equilibrium spectra. (a) - PPS (00). (c),(d) -Uniform superposition. (f),(g) Conditional state flip. (i) Searched state (). Das et al, Phys. Rev A 67, (003) Das et al, Chem Phys. Lett., 369, 8 (003)
51 Grover search algorithm using D NMR Ranabir Das and Anil Kumar, J. Chem. Phys., 7603(004)
52 Typical systems used for NMR-QP using J-Couplings qubits Chuang et al, quant-ph/ qubits 3 qubits qubits 4 qubits Marx et al, Phys. Rev. A 6, 030 (000) 7 qubits Knill et al, Nature, 404, 368 (000)
53 How to increase the number of qubits? Use Molecules Partially Oriented (~ 0-3 ) in Liquid Crystal Matrices (i) Quadrupolar Nuclei (spin >/). Reduced Quadrupolar Couplings (ii) Spin =/ Nuclei. Reduced ntramolecular Dipolar Couplings
54 Quadrupolar Systems
55 Using spin-3/ ( 7 Li) oriented system as -qubit system Pseudo-pure states Neeraj Sinha,T. S. Mahesh, K. V. Ramanathan, and Anil Kumar, JCP, 4, 445 (00).
56 -qubit Gates using 7 Li oriented system Neeraj Sinha, T. S. Mahesh, K. V. Ramanathan, and Anil Kumar, JCP, 4, 445 (00).
57 33 Cs system spin 7/ system Equilibrium Half-Adder [Cs pentadeca-fluorooctonate + D O] Subtractor -7/ -5/ -3/ -/ / 3/ 5/ 7/ Conventional Labeling Half-Adder p(5,6,5,7,6) 5-pulses Subtractor p(3,,3,5,4,3,,5,7) 9-pulses -7/ -5/ -3/ -/ / 3/ 5/ 7/ Optimal Labeling Half-Adder p(,3,) 3-pulses Subtractor p(6,4,) 3-pulses Murali et.al. Phys. Rev. A. 033 (003) R. Das et al, PRA 034 (004)
58 Collins version of 3-qubit DJ implemented on the 7/ spin of Cs-33. C B B B B B There are constant and 70 Balanced functions. Half differ in phase of the Unitary transform. B B are shown here. B B B B -Constant and - Balanced Gopinath and Anil Kumar, JMR, 93, 63 (008)
59 Dipolar Systems
60 Advantages of Oriented Molecules Large Dipolar coupling - ease of selectivity - smaller Gate time Long-range coupling - more qubits Disadvantage For Homo-nuclear spin system Weak coupling Approximation w i - w j >> D ij Spins become Strongly coupled A spin can not be identified as a qubit Solution N energy levels are collectively treated as an N-qubit system
61 3-Qubit Strongly Dipolar Coupled Spin System Bromo-di-chloro-benzene C -NOT gate ( 0 ) GHZ state ( ) POPS ( ) Z-COSY (90-t -0-τ m -0-t ) was used to label the various transitions populations coherences T.S. Mahesh et.al., Current Science 85, 93 (003).
62 5-qubit system HET-Z-COSY spectrum for labeling (in liquid crystal) Eqlbm E-level diagram Proton transitions Fluorine transitions
63 Transfer Entanglement transfer Starting from 4-qubit PPS prepared by SAALT: H Entanglement between nd and 3rd qubit Entanglement between st and 4th qubit (p) 7 (p) 40 (p) 7 w + w 7 w + w 40 Ranabir Das, Rangeet Bhattacharya and Anil Kumar, JMR. 70, 30-3 (004).
64 8-qubit system Equilibrium spectrum Molecule: -floro naphthalene (in liquid crystal ZL3) H spectrum H H H H F H H H (-5) 9 F spectrum (53-630)
65 R. Das, R Bhattacharyya and Anil Kumar, Quantum Computing Back Action, AP Proc., 864, 33 (006) HET-Z-COSY spectrum
66 Energy-level diagram (56 levels) 9 F transitions
67 Proton transitions in B domain
68 C 7 -NOT [p ] POPS() [Eq- p ] POPS(40) [Eq- p 40 ] POPS()+C 6 SWAP POPS(40) R. Das, R Bhattacharyya and Anil Kumar, Quantum Computing Back Action, AP Proceedings 864, 33 (006)
69 Geometric Quantum Computing Geometrical phase is robust, since it depends only on the solid-angle enclosed by the path and is independent of the details. This fact can be used to perform fault-tolerant Quantum nformation Processing
70 What is Geometric Phase? When a vector is parallel transported on a curved surface, it acquires a phase. A part of the acquired phase depends on the geometry of the path. A state in a two-level quantum system is a vector which can be transported on a Bloch sphere. The geometrical part of the acquired phase depends on the solid angle subtended by the path at the centre of the Bloch sphere and not on the details of the path.
71 Adiabatic Geometric Phase M. V. Berry, Quantum phase factors accompanying adiabatic changes, Proc. R. Soc. Lond. A, 39, 45 (984) When a quantum system, prepared in one of the eigenstates of the Hamiltonian, is subjected to a change adiabatically, the system remains in the eigenstate of the instantaneous Hamiltonian and acquires a phase at the end of the cycle. The phase has two parts. The dynamical and the geometric part. D = exp( -iet exp( i ) g = / ) (Dynamical Phase) (Geometric Phase) = D + (Total Phase) g Pancharatnam, S. Proc. nd. Acad. Sci. A 44, pp (956).
72 Non-Adiabatic Geometric Phase Aharovov and Anandan later showed that adiabaticity is not a necessary condition. When the density matrix corresponding to a quantum system completes a cyclic path, in the density operator space through different intermediate stages, the system acquires the same geometric phase depending upon the geometry of the path. Y. Aharonov and J. Anandan, Phase change during Cyclic Quantum Evolution, Phys. Rev. Lett. 58(6), 593 (987)
73 Non-adiabatic Geometric phases in NMR QP using transition selective pulses. Geometric phases using slice & triangular circuits. - Use of above in DJ & Grover algorithms. Ranabir Das et al, J. Magn. Reson., 77, 38 (005).. Experimental measurement of mixed state geometric phase by quantum interferometry using NMR. Ghosh et al, Physics Letters A 349, 7 (005). 3. Geometric phases in strongly dipolar coupled spins. - Fictitious spin- ½ subspaces. - Geometric phase gates in dipolar coupled 3 CH 3 CN. - Collins version of -qubit DJ algorithm. - Qubit-Qutrit parity algorithm. Gopinath et al, Phys. Rev A 73, 036 (006).
74 Geometric phase acquired by a slice circuit The state vector of the two level sub space cuts a slice on the Bloch sphere. z The slice circuit can be achieved by two transition selective pulses A.B = (p) q 0 The resulting path encloses a solid angle W =.. 0 (p) q+p+ (p) x (p) -x A spin echo sequence t-p-t is applied to refocus the evolution under internal Hamiltonian (the dynamic phase). Second (p) pulse is applied to restore the state of the first qubit altered by the (p) pulse.
75 Unitary operator associated with the slice circuit: A.B = A. B ( ) ( i e ) 0 Solid angle W =. 3 C Spectra of 3 CHCl3 Ranabir Das et al, J. Magn. Reson., 77, 38 (005).
76 Grover search algorithm using geometric phases (by slice circuit): Pseudo pure state 0 0 H H H C ij H C 00 H H i j Superpo sition Selective nversion nversion about Average Measure Selective nversion: Using Geometric phase gates x = 00 x = 0 = p nversion about Average C 00 = H U 00 H x = 0 U 00 = C 00 (p) Ranabir Das et al, J. Magn. Reson., 77, 38 (005). x =
77 Deutsch-Jozsa algorithm using geometric phases (by slice circuit): H 3 C of 3 CHCl 3 Constant U f(00) is identity matrix Constant U f() is achieved by applying p pulse on the second qubit Balanced Balanced = Ranabir Das et al, J. Magn. Reson., 77, 38 (005).
78 Experimental Measurement of Mixed State Geometric Phase by NMR Creation of 00 PPS Preparation of Mixed state by the a degree pulse and a gradient. mplementation of Slice circuit to introduce Geometric Phase. Measurement
79 Results: Geometric Phase (Shift) - = - tan r W tan The shift of the interference pattern as a function of W and r. The shift directly gives the geometric phase acquired by the spin qubit. Ghosh et al, Physics Letters A 349, 7 (005).
80 Quantum Games
81 Game Theory Von Neumann and Morgenstern Theory of games and Economic behaviour (Princeton University Press, 947) John F. Nash (Princeton University) Nobel Prize in Economics (994) Robert Aumann (Hebrew University) Nobel Prize in Economics (005) Nash Equilibrium Evolutionary Games
82 Quantum Games by NMR (i) Ulam s Quantum Game Guessing a number (ii) Three player Dilamma Game- Optimum strategy for going to a Bar with two stool. Avik Mitra et al.; J. Magn. Reson., 87, (007). (iii) Battle of Sexes Game Should Bob and Alice together watch TV or go to a football game. Avik Mitra Thesis Sc 007
83 Ulam sgame Two player game Bob thinks of a number between and n Alice tries to find out the number in minimum number of queries. Classical: n queries Quantum: Query
84 Ulam sgame Classical Algorithm 0000 Alice Total number of queries = log n = n Bob
85 Quantum Version of Ulam sgame The quantum system consists of two registers. Register A consists of n qubits Register B consists of qubit Alice makes a superposition of all the qubits. Bob performs a unitary transform and stores the result in register B. Alice again interferes the qubits and then performs a measurement. Total number of queries = --S. Mancini and L. Maccone, quant-ph/050856
86 Protocol Creation of PPS Application of Hadamard gate Unitary Transform of BOB Application of Hadamard gate M E A S U R E
87 Experimental implementation Preparation of Pseudo-Pure state - PPS
88 Results 0 0 population coherence Avik et al., J. ndian nstitute of Science; 89, (009).
89 Adiabatic Quantum Algorithms
90 (s) E Adiabatic Quantum Computing Based on Adiabatic Theorem of Quantum Mechanics: A quantum system in its ground state will remain in its ground state provided that the Hamiltonian H under which it is evolved is varied slowly enough. i U f The system evolves from H i to H f with a probability (-e ) provided the evolution rate satisfies the condition max 0 s dh( s) ; s dt g min 0; s e Where e << s Farhi et al, PRA, 65,03 (00), Science, 9, 47 (00), quant-ph/00006; ; 00835
91 Adiabatic Quantum Computing Evolve the initial state under a slowly varying Hamiltonian so that it acts as though a unitary transformation occurred on the initial state, bringing it to a final state during some time T. H(s) = (-s)h B + sh F H B beginning Hamiltonian H F Final Hamiltonian nitialize register to desired input qubits. Vary the Hamiltonian towards the final Hamiltonian whose eigenstates encodes the desired final states. N f = U n i, whereu n = exp( -ih n= 0 n t)
92 Adiabatic Algorithms by NMR (i) NMR mplementation of Locally Adiabatic Algorithms (a) Grover s search Algorithm (b) D-J Algorithm Avik Mitra et al., J. Magn. Reson. A 77, (005). (ii) Adiabatic Satisfy-ability problem using Strongly Modulated Pulses Avik Mitra, T.S. Mahesh and Anil Kumar, J. Chem. Phys. 8, 40 (008).
93 Deutsch-Jozsa Algorithm CONSTANT OR BALANCED FUNCTONS: Classically : ( N- + ) steps Deutsch-Jozsa : step (DJ) Algorithm The Constant and Balanced functions of two-qubit DJ
94 a = b H : H F : 4 Adiabatic DJ Algorithm - where = F F + b - where = a f ( 00) f ( 0) f ( 0) (- ) + (- ) + (- ) + (- ) = - a F + f ( ) Hamiltonian in terms of spin operators H = x + x + x x C ( H ) F = z + z + z Constant case z B H F = - z + z + zz + xx + yy + x + x - xz ( ) ( ) ( ) ( ) 3 a= Constant function a=0 Balanced function S. Das et al, PRA, (00) Balanced case Avik Mitra et al, JMR, 77, 85 (005) z x
95 Modification of Balanced case Hamiltonian The balanced case Hamiltonian requires complicated pulse sequence due to the presence of zero and double quantum terms. Hamiltonian diagonal in the computational basis are easy to implement. ( ) ( ) ( ) ( ) x z z x x x y y x x z z z z B F H = - The terms contributing to the off diagonal elements in balanced case Hamiltonian are dropped. ( ) z z z z B F H ~ ( ) ( ) ( ) ( ) x z z x x x y y x x z z z z B F H = - Avik Mitra et al, JMR, 77, 85 (005)
96 Eigenvalues with respect to the parameter s. Plot of Parameter s as a function of t.
97 Constant Case Final Hamiltonian H = + + C F z z z z nitial Hamiltonian H = + + x x x x Balanced Case B F Final Hamiltonian ( + ) H = _ - + z z z z The Balanced case Hamiltonian differs from the Constant case in the sign of the Hamiltonian. This is sufficient to distinguish the two cases. Avik Mitra et al, JMR, 77, 85 (005)
98 NMR mplementation. Sample H Experiment carried out in DRX500 Cl 3 C Cl H and C has resonance frequency 500 MHz and 5 MHz. Cl J HC = 09 Hz
99 Pulse Scheme for the NMR mplementation CONSTANT CASE Pulse sequence for mplementation of H B NMR Hamiltonian: Beginning Hamiltonian H = - + H = + + B z - z Jzz For v = v = - J / and with two pi/ pulses with appropriate phases x x x x Avik Mitra et al, JMR, 77, 85 (005)
100 Pulse sequence for mplementation of H F CONSTANT CASE NMR Hamiltonian: Final Hamiltonian F Pulse sequence for mplementation of H F H = - + z - z Jzz For v = v = - J / H = + + z z Free evolution under the NMR Hamiltonian between two p- pulses with appropriate phases for a time t. Avik Mitra et al, JMR, 77, 85 (005 z z
101 Experimental Result The final state is 00 Average absolute deviation Avik Mitra et al, JMR, 77, 85 (005) 5.8%
102 NMR mplementation BALANCED CASE NMR Hamiltonian: Final Hamiltonian H = - + F Pulse sequence for mplementation of H F z - z Jzz For v = v = - J / ( ) H = z z Free evolution under the NMR Hamiltonian between two p- pulses with appropriate phases for a time t. z z Avik Mitra et al, JMR, 77, 85 (005
103 Experimental Result Final state is ( )/ 3 x ~ 7% Experiment does not match well with theoretical result. Carbon: Short decoherence time Significant effect of decoherence in carbon. T of carbon was measured by CPMG sequence. Simulation was repeated after including relaxation using Bloch equations. Avik Mitra et al, JMR, 77, 85 (005)
104 Experimental Result x ~ 8% Avik Mitra et al, JMR, 77, 85 (005)
105 Adiabatic SAT Algorithm by Strongly Modulated Pulses
106 n a Homonuclear spin systems spins are close (~ khz) in frequency space Pulses are of longer duration Decoherence effects cannot be ignored Strongly Modulated Pulses circumvents the above problems
107 Strongly Modulated Pulses. U SMP = l l l - -ih ( ) ( ) ( rf U e l l ) l eff w w t t l z l F = Tr U U T N SMP w rf t Nedler-Mead Simplex Algorithm (fminsearch)
108 k-sat Problem. Let B={x,x,.,x n } be a set of n Boolean variables.. Let C i be a disjunction of k elements of B C i = x x.... F is the Boolean function that is the conjunction of m such clauses. F = C... x C Cm k Find out all the assignments of Boolean variable in F that simultaneously satisfies all the clauses i.e. F=. Three variable -SAT problem B = {x,x,x 3 }, set of three variable. Each clause (C i ) has one variable. e.g. F = x x x 3. Farhi et al, quant-ph/00006
109 NMR mplementation, using a 3-qubit system. The Sample. odotrifluoroethylene(c F 3 ) F b F a C C Equilibrium Specrum. F c J J J ab ac bc = = = 68. Hz Hz Hz
110 Step. Preparation of PPS PPS: ( ) 3 z z z 3 z z 3 z z z z 3 z z z Equilibrium: 3 z z z + +
111 Step 3. mplementation of Adiabatic Evolution H B = x + x + 3 x = x H F = z + z + 3 z = z m H + M m M ( m) = - HB HF m th step of the interpolating Hamiltonian. U m e m 80 m 80 m 80 - i x - -i z - i x - M p M p M p e e m th step of evolution operator m,,3 a pulse x pulse b m,,3 z am,,3 x pulse Pulse sequence for adiabatic evolution Total number of iteration is 3 time needed = 6 ms (400 s x 5 pulses x 3 repetitions)
112 Using Concatenated SMPs Duration: Max 5.8 ms, Min. 4.7 ms Avik Mitra et al, JCP, 8, 40 (008)
113 Results for all Boolean Formulae Avik Mitra et al, JCP, 8, 40 (008)
114 Conclusions:
115 NMR QP is at a Cross -Road Many Operations and Algorithms can be mplemented A Very Good Tool for Learning and Explorations Scaling is Difficult f All Spins are to be coupled to each other with nondegenerate Transitions Possible to obtain high number of qubits f Only nearest neighbor couplings are sufficient Backbone of a C-3, N-5 labeled protein with side chain protons deuterated How to do QP?
116 Future Directions. To increase the number of Qubits in NMR. Synthesis molecules with several hetero-nuclei.. To use strongly modulated pulses (SMPs) and Control Theory for performing Unitary operations in short times and accurately. 3. To search for systems with large coherence times. For example singlet states in equivalent spins or spins systems with symmetry with symmetry preserving relaxation. 4. Develop protocols which can be carried out using spins with nearest neighbor couplings. 5. To enhance nuclear polarization by transferring Electron polarization using DNP.
117 Thank You
PHYSICAL REVIEW A, 66,
PHYSICAL REVIEW A, 66, 022313 2002 Quantum-information processing by nuclear magnetic resonance: Experimental implementation of half-adder and subtractor operations using an oriented spin-7õ2 system K.
More informationExperimental Realization of Shor s Quantum Factoring Algorithm
Experimental Realization of Shor s Quantum Factoring Algorithm M. Steffen1,2,3, L.M.K. Vandersypen1,2, G. Breyta1, C.S. Yannoni1, M. Sherwood1, I.L.Chuang1,3 1 IBM Almaden Research Center, San Jose, CA
More informationExperimental Quantum Computing: A technology overview
Experimental Quantum Computing: A technology overview Dr. Suzanne Gildert Condensed Matter Physics Research (Quantum Devices Group) University of Birmingham, UK 15/02/10 Models of quantum computation Implementations
More informationarxiv: v1 [quant-ph] 22 Sep 2009
. Implementation of controlled phase shift gates and Collins version arxiv:0909.4034v1 [quant-ph] 22 Sep 2009 of Deutsch-Jozsa algorithm on a quadrupolar spin-7/2 nucleus using non-adiabatic geometric
More informationINTRODUCTION TO NMR and NMR QIP
Books (NMR): Spin dynamics: basics of nuclear magnetic resonance, M. H. Levitt, Wiley, 2001. The principles of nuclear magnetism, A. Abragam, Oxford, 1961. Principles of magnetic resonance, C. P. Slichter,
More informationarxiv:quant-ph/ v1 8 Sep 2006
Hadamard NMR spectroscopy for two-dimensional quantum information processing and parallel search algorithms arxiv:quant-ph/0609061v1 8 Sep 2006 T. Gopinath and Anil Kumar NMR Quantum Computing and Quantum
More informationMichael Mehring Physikalisches Institut, Univ. Stuttgart, Germany. Coworkers. A. Heidebrecht, J. Mende, W. Scherer
Decoherence and Entanglement Tomography in Solids Michael Mehring Physikalisches Institut, Univ. Stuttgart, Germany Coworkers A. Heidebrecht, J. Mende, W. Scherer 5 N@C 60 and 3 P@C 60 Cooperation Boris
More informationSemiconductors: Applications in spintronics and quantum computation. Tatiana G. Rappoport Advanced Summer School Cinvestav 2005
Semiconductors: Applications in spintronics and quantum computation Advanced Summer School 1 I. Background II. Spintronics Spin generation (magnetic semiconductors) Spin detection III. Spintronics - electron
More informationIntroduction to Quantum Computing. Lecture 1
Introduction to Quantum Computing Lecture 1 1 OUTLINE Why Quantum Computing? What is Quantum Computing? History Quantum Weirdness Quantum Properties Quantum Computation 2 Why Quantum Computing? 3 Transistors
More informationDNP in Quantum Computing Eisuke Abe Spintronics Research Center, Keio University
DNP in Quantum Computing Eisuke Abe Spintronics Research Center, Keio University 207.08.25 Future of Hyper-Polarized Nuclear Spins @IPR, Osaka DNP in quantum computing Molecule Pseudo-pure state Algorithmic
More informationExperimental Realization of Brüschweiler s exponentially fast search algorithm in a 3-qubit homo-nuclear system
Experimental Realization of Brüschweiler s exponentially fast search algorithm in a 3-qubit homo-nuclear system Li Xiao 1,2,G.L.Long 1,2,3,4, Hai-Yang Yan 1,2, Yang Sun 5,1,2 1 Department of Physics, Tsinghua
More informationShort Course in Quantum Information Lecture 8 Physical Implementations
Short Course in Quantum Information Lecture 8 Physical Implementations Course Info All materials downloadable @ website http://info.phys.unm.edu/~deutschgroup/deutschclasses.html Syllabus Lecture : Intro
More informationarxiv:quant-ph/ v2 5 Feb 2000
Implementing quantum logic operations, pseudo-pure states and the Deutsch-Jozsa algorithm using non-commuting selective pulses in NMR Kavita Dorai Department of Physics, Indian Institute of Science, Bangalore
More information*WILEY- Quantum Computing. Joachim Stolze and Dieter Suter. A Short Course from Theory to Experiment. WILEY-VCH Verlag GmbH & Co.
Joachim Stolze and Dieter Suter Quantum Computing A Short Course from Theory to Experiment Second, Updated and Enlarged Edition *WILEY- VCH WILEY-VCH Verlag GmbH & Co. KGaA Contents Preface XIII 1 Introduction
More informationMeasuring Spin-Lattice Relaxation Time
WJP, PHY381 (2009) Wabash Journal of Physics v4.0, p.1 Measuring Spin-Lattice Relaxation Time L.W. Lupinski, R. Paudel, and M.J. Madsen Department of Physics, Wabash College, Crawfordsville, IN 47933 (Dated:
More informationIBM quantum experience: Experimental implementations, scope, and limitations
IBM quantum experience: Experimental implementations, scope, and limitations Plan of the talk IBM Quantum Experience Introduction IBM GUI Building blocks for IBM quantum computing Implementations of various
More informationNuclear Magnetic Resonance Quantum Computing Using Liquid Crystal Solvents
Nuclear Magnetic Resonance Quantum Computing Using Liquid Crystal Solvents Costantino S. Yannoni, Mark H. Sherwood, Dolores C. Miller, and Isaac L. Chuang IBM Almaden Research Center, San Jose, CA 952
More informationThe Deutsch-Josza Algorithm in NMR
December 20, 2010 Matteo Biondi, Thomas Hasler Introduction Algorithm presented in 1992 by Deutsch and Josza First implementation in 1998 on NMR system: - Jones, JA; Mosca M; et al. of a quantum algorithm
More informationQuantum Computing with Para-hydrogen
Quantum Computing with Para-hydrogen Muhammad Sabieh Anwar sabieh@lums.edu.pk International Conference on Quantum Information, Institute of Physics, Bhubaneswar, March 12, 28 Joint work with: J.A. Jones
More informationQuantum Computing. Joachim Stolze and Dieter Suter. A Short Course from Theory to Experiment. WILEY-VCH Verlag GmbH & Co. KGaA
Joachim Stolze and Dieter Suter Quantum Computing A Short Course from Theory to Experiment Second, Updated and Enlarged Edition WILEY- VCH WILEY-VCH Verlag GmbH & Co. KGaA Preface XIII 1 Introduction and
More informationElectrical quantum engineering with superconducting circuits
1.0 10 0.8 01 switching probability 0.6 0.4 0.2 00 P. Bertet & R. Heeres SPEC, CEA Saclay (France), Quantronics group 11 0.0 0 100 200 300 400 swap duration (ns) Electrical quantum engineering with superconducting
More information2.0 Basic Elements of a Quantum Information Processor. 2.1 Classical information processing The carrier of information
QSIT09.L03 Page 1 2.0 Basic Elements of a Quantum Information Processor 2.1 Classical information processing 2.1.1 The carrier of information - binary representation of information as bits (Binary digits).
More informationSolid-state NMR of spin > 1/2
Solid-state NMR of spin > 1/2 Nuclear spins with I > 1/2 possess an electrical quadrupole moment. Anisotropic Interactions Dipolar Interaction 1 H- 1 H, 1 H- 13 C: typically 50 khz Anisotropy of the chemical
More informationAn introduction to Solid State NMR and its Interactions
An introduction to Solid State NMR and its Interactions From tensor to NMR spectra CECAM Tutorial September 9 Calculation of Solid-State NMR Parameters Using the GIPAW Method Thibault Charpentier - CEA
More informationMagnetic Resonance in Quantum Information
Magnetic Resonance in Quantum Information Christian Degen Spin Physics and Imaging group Laboratory for Solid State Physics www.spin.ethz.ch Content Features of (nuclear) magnetic resonance Brief History
More informationSinglet state creation and Universal quantum computation in NMR using Genetic Algorithm
Singlet state creation and Universal quantum computation in NMR using Genetic Algorithm V. S. Manu and Anil Kumar Centre for Quantum Information and Quantum Computing, Department of Physics and NMR Research
More informationQuantum Computation with Neutral Atoms
Quantum Computation with Neutral Atoms Marianna Safronova Department of Physics and Astronomy Why quantum information? Information is physical! Any processing of information is always performed by physical
More informationQuantum Computers. Todd A. Brun Communication Sciences Institute USC
Quantum Computers Todd A. Brun Communication Sciences Institute USC Quantum computers are in the news Quantum computers represent a new paradigm for computing devices: computers whose components are individual
More informationExperimental Methods for Quantum Control in Nuclear Spin Systems
Tim Havel and David Cory Dept. of Nuclear Engineering Massachusetts Institute of Technology Experimental Methods for Quantum Control in Nuclear Spin Systems Together with: Jonathan Baugh, Hyang Joon Cho,
More informationShallow Donors in Silicon as Electron and Nuclear Spin Qubits Johan van Tol National High Magnetic Field Lab Florida State University
Shallow Donors in Silicon as Electron and Nuclear Spin Qubits Johan van Tol National High Magnetic Field Lab Florida State University Overview Electronics The end of Moore s law? Quantum computing Spin
More informationQuantum Information Processing with Liquid-State NMR
Quantum Information Processing with Liquid-State NMR Pranjal Vachaspati, Sabrina Pasterski MIT Department of Physics (Dated: May 8, 23) We demonstrate the use of a Bruker Avance 2 NMR Spectrometer for
More informationQUANTUM CRYPTOGRAPHY QUANTUM COMPUTING. Philippe Grangier, Institut d'optique, Orsay. from basic principles to practical realizations.
QUANTUM CRYPTOGRAPHY QUANTUM COMPUTING Philippe Grangier, Institut d'optique, Orsay 1. Quantum cryptography : from basic principles to practical realizations. 2. Quantum computing : a conceptual revolution
More informationQuantum Computation 650 Spring 2009 Lectures The World of Quantum Information. Quantum Information: fundamental principles
Quantum Computation 650 Spring 2009 Lectures 1-21 The World of Quantum Information Marianna Safronova Department of Physics and Astronomy February 10, 2009 Outline Quantum Information: fundamental principles
More informationMagnetic Resonance in Quantum
Magnetic Resonance in Quantum Information Christian Degen Spin Physics and Imaging group Laboratory for Solid State Physics www.spin.ethz.ch Content Features of (nuclear) magnetic resonance Brief History
More informationUse of spatial encoding in NMR photography
Journal of Magnetic Resonance 171 (2004) 359 363 www.elsevier.com/locate/jmr Use of spatial encoding in NMR photography Krishna Kishor Dey a,1, Rangeet Bhattacharyya a, Anil Kumar a,b, * a Department of
More informationError tolerance in an NMR Implementation of Grover s Fixed-Point Quantum Search Algorithm
Error tolerance in an NMR Implementation of Grover s Fixed-Point Quantum Search Algorithm Li Xiao and Jonathan A. Jones Centre for Quantum Computation, Clarendon Laboratory, University of Oxford, Parks
More informationPARAMAGNETIC MATERIALS AND PRACTICAL ALGORITHMIC COOLING FOR NMR QUANTUM COMPUTING
st Reading International Journal of Quantum Information Vol., No. (2) c World Scientific Publishing Company PARAMAGNETIC MATERIALS AND PRACTICAL ALGORITHMIC COOLING FOR NMR QUANTUM COMPUTING JOSÉ M. FERNANDEZ
More informationSpin Dynamics Basics of Nuclear Magnetic Resonance. Malcolm H. Levitt
Spin Dynamics Basics of Nuclear Magnetic Resonance Second edition Malcolm H. Levitt The University of Southampton, UK John Wiley &. Sons, Ltd Preface xxi Preface to the First Edition xxiii Introduction
More informationA fast method for the measurement of long spin lattice relaxation times by single scan inversion recovery experiment
Chemical Physics Letters 383 (2004) 99 103 www.elsevier.com/locate/cplett A fast method for the measurement of long spin lattice relaxation times by single scan inversion recovery experiment Rangeet Bhattacharyya
More informationIntroduction into Quantum Computations Alexei Ashikhmin Bell Labs
Introduction into Quantum Computations Alexei Ashikhmin Bell Labs Workshop on Quantum Computing and its Application March 16, 2017 Qubits Unitary transformations Quantum Circuits Quantum Measurements Quantum
More informationEntanglement creation and characterization in a trapped-ion quantum simulator
Time Entanglement creation and characterization in a trapped-ion quantum simulator Christian Roos Institute for Quantum Optics and Quantum Information Innsbruck, Austria Outline: Highly entangled state
More informationarxiv: v1 [quant-ph] 21 Dec 2009
Experimental NMR implementation of a robust quantum search algorithm Avik Mitra a, Avatar Tulsi b and Anil Kumar a a NMR Quantum Computation and Quantum Information Group, arxiv:912.471v1 [quant-ph] 21
More informationReversible and Quantum computing. Fisica dell Energia - a.a. 2015/2016
Reversible and Quantum computing Fisica dell Energia - a.a. 2015/2016 Reversible computing A process is said to be logically reversible if the transition function that maps old computational states to
More information1.0 Introduction to Quantum Systems for Information Technology 1.1 Motivation
QSIT09.V01 Page 1 1.0 Introduction to Quantum Systems for Information Technology 1.1 Motivation What is quantum mechanics good for? traditional historical perspective: beginning of 20th century: classical
More informationIntroduction to Quantum Computation
Chapter 1 Introduction to Quantum Computation 1.1 Motivations The main task in this course is to discuss application of quantum mechanics to information processing (or computation). Why? Education:Asingleq-bitisthesmallestpossiblequantummechanical
More informationGates for Adiabatic Quantum Computing
Gates for Adiabatic Quantum Computing Richard H. Warren Abstract. The goal of this paper is to introduce building blocks for adiabatic quantum algorithms. Adiabatic quantum computing uses the principle
More informationSome Introductory Notes on Quantum Computing
Some Introductory Notes on Quantum Computing Markus G. Kuhn http://www.cl.cam.ac.uk/~mgk25/ Computer Laboratory University of Cambridge 2000-04-07 1 Quantum Computing Notation Quantum Computing is best
More informationSecrets of Quantum Information Science
Secrets of Quantum Information Science Todd A. Brun Communication Sciences Institute USC Quantum computers are in the news Quantum computers represent a new paradigm for computing devices: computers whose
More informationQuantum Computation with Neutral Atoms Lectures 14-15
Quantum Computation with Neutral Atoms Lectures 14-15 15 Marianna Safronova Department of Physics and Astronomy Back to the real world: What do we need to build a quantum computer? Qubits which retain
More informationarxiv:quant-ph/ v1 1 Oct 1999
NMR quantum computation with indirectly coupled gates arxiv:quant-ph/9910006v1 1 Oct 1999 David Collins, 1 K. W. Kim, 1, W. C. Holton, 1 H. Sierzputowska-Gracz, 2 and E. O. Stejskal 3 1 Department of Electrical
More informationQuantum Computer Architecture
Quantum Computer Architecture Scalable and Reliable Quantum Computers Greg Byrd (ECE) CSC 801 - Feb 13, 2018 Overview 1 Sources 2 Key Concepts Quantum Computer 3 Outline 4 Ion Trap Operation The ion can
More information1. THEORETICAL BACKGROUND AND EXPERIMENTAL TECHNIQUES. 1.1 History of Quantum Computation
. THEORETICAL BACKGROUND AND EXPERIMENTAL TECHNIQUES The number of transistors per chip grows exponentially in time, a trend now known as Moore s law []. In the next decades the size of semiconductors
More informationquantum mechanics is a hugely successful theory... QSIT08.V01 Page 1
1.0 Introduction to Quantum Systems for Information Technology 1.1 Motivation What is quantum mechanics good for? traditional historical perspective: beginning of 20th century: classical physics fails
More informationErrata list, Nielsen & Chuang. rrata/errata.html
Errata list, Nielsen & Chuang http://www.michaelnielsen.org/qcqi/errata/e rrata/errata.html Part II, Nielsen & Chuang Quantum circuits (Ch 4) SK Quantum algorithms (Ch 5 & 6) Göran Johansson Physical realisation
More informationarxiv: v1 [quant-ph] 11 May 2011
Non-Destructive Discrimination of arbitrary set of orthogonal quantum states by NMR using Quantum Phase Estimation V. S. Manu and Anil Kumar Centre for Quantum Information and Quantum Computing, Department
More informationphys4.20 Page 1 - the ac Josephson effect relates the voltage V across a Junction to the temporal change of the phase difference
Josephson Effect - the Josephson effect describes tunneling of Cooper pairs through a barrier - a Josephson junction is a contact between two superconductors separated from each other by a thin (< 2 nm)
More informationINTRODUCTION TO NMR and NMR QIP
Books (NMR): Spin dynamics: basics of nuclear magneac resonance, M. H. LeviF, Wiley, 200. The principles of nuclear magneasm, A. Abragam, Oxford, 96. Principles of magneac resonance, C. P. Slichter, Springer,
More informationSolid-State Nuclear Spin Quantum Computer Based on Magnetic Resonance Force Microscopy
Solid-State Nuclear Spin Quantum Computer Based on Magnetic Resonance Force Microscopy G.P. Berman 1, G.D. Doolen 1, P.C. Hammel 2, and V.I. Tsifrinovich 3 1 Theoretical Division and CNLS, Los Alamos National
More informationSuperoperators for NMR Quantum Information Processing. Osama Usman June 15, 2012
Superoperators for NMR Quantum Information Processing Osama Usman June 15, 2012 Outline 1 Prerequisites 2 Relaxation and spin Echo 3 Spherical Tensor Operators 4 Superoperators 5 My research work 6 References.
More informationarxiv:quant-ph/ v2 28 Aug 2006
Numerical simulation of Quantum Teleportation in a chain of three nuclear spins system taking into account second neighbor iteration G.V. López and L. Lara Departamento de Física, Universidad de Guadalajara
More informationMotion and motional qubit
Quantized motion Motion and motional qubit... > > n=> > > motional qubit N ions 3 N oscillators Motional sidebands Excitation spectrum of the S / transition -level-atom harmonic trap coupled system & transitions
More informationDriving Qubit Transitions in J-C Hamiltonian
Qubit Control Driving Qubit Transitions in J-C Hamiltonian Hamiltonian for microwave drive Unitary transform with and Results in dispersive approximation up to 2 nd order in g Drive induces Rabi oscillations
More informationQuantum Computing with NMR: Deutsch-Josza and Grover Algorithms
Quantum Computing with NMR: Deutsch-Josza and Grover Algorithms Charles S. Epstein and Ariana J. Mann MIT Department of Physics (Dated: March 4, ) A Bruker Avance NMR Spectrometer was used to perform simple
More informationQuantum information processing with trapped ions
Quantum information processing with trapped ions Courtesy of Timo Koerber Institut für Experimentalphysik Universität Innsbruck 1. Basic experimental techniques 2. Two-particle entanglement 3. Multi-particle
More informationIntroduction to Quantum Information Processing
Introduction to Quantum Information Processing Lecture 6 Richard Cleve Overview of Lecture 6 Continuation of teleportation Computation and some basic complexity classes Simple quantum algorithms in the
More informationFactoring 15 with NMR spectroscopy. Josefine Enkner, Felix Helmrich
Factoring 15 with NMR spectroscopy Josefine Enkner, Felix Helmrich Josefine Enkner, Felix Helmrich April 23, 2018 1 Introduction: What awaits you in this talk Recap Shor s Algorithm NMR Magnetic Nuclear
More informationAn introduction to Quantum Computing using Trapped cold Ions
An introduction to Quantum Computing using Trapped cold Ions March 10, 011 Contents 1 Introduction 1 Qubits 3 Operations in Quantum Computing 3.1 Quantum Operators.........................................
More informationarxiv: v1 [quant-ph] 8 Feb 2013
Experimental realization of quantum algorithm for solving linear systems of equations Jian Pan, 1 Yudong Cao, 2 Xiwei Yao, 3 Zhaokai Li, 1 Chenyong Ju, 1 Xinhua Peng, 1 Sabre Kais, 4, and Jiangfeng Du
More informationarxiv:quant-ph/ v3 19 May 1997
Correcting the effects of spontaneous emission on cold-trapped ions C. D Helon and G.J. Milburn Department of Physics University of Queensland St Lucia 407 Australia arxiv:quant-ph/9610031 v3 19 May 1997
More informationFault-Tolerant Quantum Computing
Fault-Tolerant Quantum Computing Arijit Ghosh Masters Thesis under the supervision of Prof. Sudebkumar Prasant Pal Department of Computer Science and Engineering Indian Institute of Technology and Prof.
More informationCS257 Discrete Quantum Computation
CS57 Discrete Quantum Computation John E Savage April 30, 007 Lect 11 Quantum Computing c John E Savage Classical Computation State is a vector of reals; e.g. Booleans, positions, velocities, or momenta.
More informationCONTENTS. 2 CLASSICAL DESCRIPTION 2.1 The resonance phenomenon 2.2 The vector picture for pulse EPR experiments 2.3 Relaxation and the Bloch equations
CONTENTS Preface Acknowledgements Symbols Abbreviations 1 INTRODUCTION 1.1 Scope of pulse EPR 1.2 A short history of pulse EPR 1.3 Examples of Applications 2 CLASSICAL DESCRIPTION 2.1 The resonance phenomenon
More informationQuantum Error Correction Codes - From Qubit to Qudit
Quantum Error Correction Codes - From Qubit to Qudit Xiaoyi Tang Paul McGuirk December 7, 005 1 Introduction Quantum computation (QC), with inherent parallelism from the superposition principle of quantum
More informationOptimal Controlled Phasegates for Trapped Neutral Atoms at the Quantum Speed Limit
with Ultracold Trapped Atoms at the Quantum Speed Limit Michael Goerz May 31, 2011 with Ultracold Trapped Atoms Prologue: with Ultracold Trapped Atoms Classical Computing: 4-Bit Full Adder Inside the CPU:
More informationGeneral NMR basics. Solid State NMR workshop 2011: An introduction to Solid State NMR spectroscopy. # nuclei
: An introduction to Solid State NMR spectroscopy Dr. Susanne Causemann (Solid State NMR specialist/ researcher) Interaction between nuclear spins and applied magnetic fields B 0 application of a static
More informationROM-BASED COMPUTATION: QUANTUM VERSUS CLASSICAL
arxiv:quant-ph/0109016v2 2 Jul 2002 ROM-BASED COMPUTATION: QUANTUM VERSUS CLASSICAL B. C. Travaglione, M. A. Nielsen Centre for Quantum Computer Technology, University of Queensland St Lucia, Queensland,
More informationQuantum Optics and Quantum Informatics FKA173
Quantum Optics and Quantum Informatics FKA173 Date and time: Tuesday, 7 October 015, 08:30-1:30. Examiners: Jonas Bylander (070-53 44 39) and Thilo Bauch (0733-66 13 79). Visits around 09:30 and 11:30.
More informationQuantum Computing. 6. Quantum Computer Architecture 7. Quantum Computers and Complexity
Quantum Computing 1. Quantum States and Quantum Gates 2. Multiple Qubits and Entangled States 3. Quantum Gate Arrays 4. Quantum Parallelism 5. Examples of Quantum Algorithms 1. Grover s Unstructured Search
More informationRequirements for scaleable QIP
p. 1/25 Requirements for scaleable QIP These requirements were presented in a very influential paper by David Divincenzo, and are widely used to determine if a particular physical system could potentially
More informationb) (5 points) Give a simple quantum circuit that transforms the state
C/CS/Phy191 Midterm Quiz Solutions October 0, 009 1 (5 points) Short answer questions: a) (5 points) Let f be a function from n bits to 1 bit You have a quantum circuit U f for computing f If you wish
More informationComputational speed-up with a single qudit
Computational speed-up with a single qudit Z. Gedik, 1 I. A. Silva, 2 B. Çakmak, 1 G. Karpat, 3 E. L. G. Vidoto, 2 D. O. Soares-Pinto, 2 E. R. deazevedo, 2 and F. F. Fanchini 3 1 Faculty of Engineering
More informationSUPPLEMENTARY INFORMATION
SUPPLEMENTAR NFORMATON doi:10.1038/nature10786 FOUR QUBT DEVCE f 3 V 2 V 1 The cqed device used in this experiment couples four transmon qubits to a superconducting coplanar waveguide microwave cavity
More informationIntroduction to Quantum Computing
Introduction to Quantum Computing Petros Wallden Lecture 1: Introduction 18th September 2017 School of Informatics, University of Edinburgh Resources 1. Quantum Computation and Quantum Information by Michael
More informationUniversity of New Mexico
Quantum State Reconstruction via Continuous Measurement Ivan H. Deutsch, Andrew Silberfarb University of New Mexico Poul Jessen, Greg Smith University of Arizona Information Physics Group http://info.phys.unm.edu
More informationION TRAPS STATE OF THE ART QUANTUM GATES
ION TRAPS STATE OF THE ART QUANTUM GATES Silvio Marx & Tristan Petit ION TRAPS STATE OF THE ART QUANTUM GATES I. Fault-tolerant computing & the Mølmer- Sørensen gate with ion traps II. Quantum Toffoli
More informationChallenges in Quantum Information Science. Umesh V. Vazirani U. C. Berkeley
Challenges in Quantum Information Science Umesh V. Vazirani U. C. Berkeley 1 st quantum revolution - Understanding physical world: periodic table, chemical reactions electronic wavefunctions underlying
More informationQuantum Optics. Manipulation of «simple» quantum systems
Quantum Optics Manipulation of «simple» quantum systems Antoine Browaeys Institut d Optique, Palaiseau, France Quantum optics = interaction atom + quantum field e g ~ 1960: R. Glauber (P. Nobel. 2005),
More informationP 3/2 P 1/2 F = -1.5 F S 1/2. n=3. n=3. n=0. optical dipole force is state dependent. n=0
(two-qubit gate): tools: optical dipole force P 3/2 P 1/2 F = -1.5 F n=3 n=3 n=0 S 1/2 n=0 optical dipole force is state dependent tools: optical dipole force (e.g two qubits) ω 2 k1 d ω 1 optical dipole
More informationNon-linear driving and Entanglement of a quantum bit with a quantum readout
Non-linear driving and Entanglement of a quantum bit with a quantum readout Irinel Chiorescu Delft University of Technology Quantum Transport group Prof. J.E. Mooij Kees Harmans Flux-qubit team visitors
More informationSolid-state nuclear-spin quantum computer based on magnetic resonance force microscopy
PHYSICAL REVIEW B VOLUME 61, NUMBER 21 1 JUNE 2000-I Solid-state nuclear-spin quantum computer based on magnetic resonance force microscopy G. P. Berman and G. D. Doolen Theoretical Division and CNLS,
More informationEinführung in die Quanteninformation
Einführung in die Quanteninformation Hans J. Briegel Theoretical Physics, U Innsbruck Department of Philosophy, U Konstanz* *MWK Baden-Württemberg Quanteninformationsverarbeitung Untersuchung grundlegender
More informationIntroduction to Quantum Computing
Introduction to Quantum Computing Part I Emma Strubell http://cs.umaine.edu/~ema/quantum_tutorial.pdf April 12, 2011 Overview Outline What is quantum computing? Background Caveats Fundamental differences
More informationIntroduction to Quantum Error Correction
Introduction to Quantum Error Correction Nielsen & Chuang Quantum Information and Quantum Computation, CUP 2000, Ch. 10 Gottesman quant-ph/0004072 Steane quant-ph/0304016 Gottesman quant-ph/9903099 Errors
More informationThe information content of a quantum
The information content of a quantum A few words about quantum computing Bell-state measurement Quantum dense coding Teleportation (polarisation states) Quantum error correction Teleportation (continuous
More informationQUANTUM COMPUTING. Part II. Jean V. Bellissard. Georgia Institute of Technology & Institut Universitaire de France
QUANTUM COMPUTING Part II Jean V. Bellissard Georgia Institute of Technology & Institut Universitaire de France QUANTUM GATES: a reminder Quantum gates: 1-qubit gates x> U U x> U is unitary in M 2 ( C
More informationIntroduction to Quantum Algorithms Part I: Quantum Gates and Simon s Algorithm
Part I: Quantum Gates and Simon s Algorithm Martin Rötteler NEC Laboratories America, Inc. 4 Independence Way, Suite 00 Princeton, NJ 08540, U.S.A. International Summer School on Quantum Information, Max-Planck-Institut
More informationCSCI 2570 Introduction to Nanocomputing. Discrete Quantum Computation
CSCI 2570 Introduction to Nanocomputing Discrete Quantum Computation John E Savage November 27, 2007 Lect 22 Quantum Computing c John E Savage What is Quantum Computation It is very different kind of computation
More informationS.K. Saikin May 22, Lecture 13
S.K. Saikin May, 007 13 Decoherence I Lecture 13 A physical qubit is never isolated from its environment completely. As a trivial example, as in the case of a solid state qubit implementation, the physical
More informationarxiv:quant-ph/ v1 16 Nov 1995
Quantum Networks for Elementary Arithmetic Operations Vlatko Vedral, Adriano Barenco and Artur Ekert Clarendon Laboratory, Department of Physics University of Oxford, Oxford, OX1 3PU, U.K. (Submitted to
More informationexample: e.g. electron spin in a field: on the Bloch sphere: this is a rotation around the equator with Larmor precession frequency ω
Dynamics of a Quantum System: QM postulate: The time evolution of a state ψ> of a closed quantum system is described by the Schrödinger equation where H is the hermitian operator known as the Hamiltonian
More information