Solid-State Spin Quantum Computers
|
|
- Martha Nelson
- 5 years ago
- Views:
Transcription
1 Solid-State Spin Quantum Computers 1 NV-Centers in Diamond P Donors in Silicon
2 Kane s Computer (1998) P- doped silicon with metal gates Silicon host crystal + 31 P donor atoms + Addressing gates + J- coupling gates + Read- out gates A scalable quantum computer? Concept: B.E. Kane, Nature 393 (1998) 133 SiO (5 nm) Si Metal A J A gate oxide 5 nm 0 nm 31 P 31 P matrix back gate Impact: Pros: Cons: very high, feasible concept for a solid- state spin quantum computer ca. 100 researchers in Australia and U.S.A. started investigating this 1999 All- electric, close to silicon technology (industry turnover: US$) Challenging to manufacture (P placement, thin gate metals) Actuality: still new results as ion implantation methods become better e.g., J.J. Pla et al., Nature 496 (013) 334: 1- Qubit Control and Read- Out
3 P donor in silicon 3 P has 5 valence electrons, one more than Si At room temperature, the extra electron is completely delocalised in the conduction band (doping effect) At low temperature (T 1 K), the extra electron is loosely bound to the P nucleus ( hydrogen- like wave function) a Si = ε Si m a = 4πεε 0! * 0 m e 3 Å E Si = k m* ε E 31 mev 0 ( k 3 ) Si ε Si = 11.7, m* = 0.19 a 0 = 0.53 Å, E 0 = 13.6 ev 31 P =
4 Kane s Concept: Overview 4 silicon can be made spin-free ( 8 Si), acting like a hard spin vacuum each 31 P has nuclear spin I=1/ and associated electron spin S=1/ nuclear spin I as qubit S is for controlling information: Read-In 1- and -Qubit gates Read-Out SiO barrier V = 0 SET A-gate J-gate + V > 0 A-gate B 0 J-gate A-gate J-gate I and S are coupled by the hyperfine interaction A next neighbours are coupled by exchange interaction J Silicon substrate 31 P ~0 nm 31 P Los Alamos Science 7 (00), 84 A and J can be modified by applying electrical fields (metal gates) S state can be converted to charge and then read out with an SET ~0 nm 31 P
5 The Spin Qubit 5 each 31 P has nuclear spin I and electron spin S H 0 /! = ( γ S S z γ I I z )B 0 + SAI 31 P = γ S = g S µ B /! 8 GHz / T γ I = g I µ n /! 17 MHz / T ( 31 P) ν n ESR at T 0.3 K, B0 = 1.77 T Nature 496 (013) 334 ν e1 ν e ν n1 >99.9% at T 0.3 K, B0 = 1.77 T
6 Selective 1-Qubit Rotation 6 Use global RF field to turn nuclear spins I, hyperfine interaction A for local addressing A resonance frequency for I ΔE /! = γ I B 0 + m S A (a) A q 1 J SiO barrier Electron cloud q A (a ) A-gate, 0 V 0 resonance frequency is individual if A can be locally modified 4π A =!γ S γ I 3 Ψ e ( r = 0) 117 MHz contact hyperfine interaction (overlap of electron and nucleus) controlled by A-gate (b) Nuclear resonance frequency (MHz) Nuclear resonance frequency (MHz) Silicon substrate q q A-gate potential (V) (c) q A-gate potential (V) q 1.0 (b ) (c ) A-gate, +1 V A-gate, 1 V Los Alamos Science 7 (00),
7 Next-Neighbour Interactions (1/) Electron wave function overlap leads to exchange interaction J can be controlled by J-gate Low J: -Qubit Coupling (a) (b) A 1 J A (SWAP, 4 CNOT, ) E/µ µ B B0 SiO barrier 1 + µ B B 0 0 4J 7 H = H 1 + H + 4J S 1 S New basis for coupled electron spins: Silicon substrate No J: Isolated Qubits Los Alamos Science 7 (00), J/µ B B 0 High J: Spin-To-Charge Conversion (Readout) Triplet (S = 1) Singlet (S = 0) T + T 0 = 1 ( + ) T = = 4J S = 1 ( )
8 Next-Neighbour Interactions (/) 8 J- gate mediated coupling between adjacent electron spins + hyperfine coupling A between nuclear spin and its electron spin = indirect coupling between adjacent nuclear spin qubits Lowest spin states at small J: 11 = Φ + = 1 ( + ) Φ = 1 ( ) 00 = (a) A 1 J A SiO barrier Silicon substrate Los Alamos Science 7 (00), 84 (b) E/µ B B µ B B 0 4J J/µ B B 0 Splitting between Φ + and Φ : γ S (B0 = T, 4J / = 1 T, A = 115 MHz) ω J = A γ S B 0 4J A γ S B 0 (π ) 75 khz 75 khz sets the maximum speed of two-qubit gates!
9 Two-Qubit Operations (1/) 9 SWAP Operation: J = 0 J 0 1. independent qubits, J = 0. turn J on fast 3. base change of (10) and (01) to superposition states: ( ) ( ) 10 = Ψ 10 = 1 Φ + Φ 01 = Ψ 01 = 1 Φ + + Φ 4. superposition evolves in time Ψ 10 τ ( ) SWAP ( t) = 1 Φ + Φ e iω Jt 11 = 10 = 01 = 00 = 11 = Φ + = 1 ( + ) Φ = 1 ( ) 00 = ( ) = Ψ 01 1 Φ + + Φ 5. wait until SWAP: 6. turn J off fast τ SWAP = π /ω J 6.7 µs
10 Two-Qubit Operations (/) 10 CNOT Operation: 1. independent qubits, J = 0. apply A- gate voltages so that A 1 (control) > A (target qubit) 3. turn J on slowly (adiabatically) and slowly make A 1 = A 4. net result so far: J = 0 J 0 11 = 10 = 01 = 00 = 11 = Φ + = 1 ( + ) Φ = 1 ( ) 00 = 10 Φ +, 01 Φ 5. apply r.f. field B ac resonant with transition 6. wait until π- pulse is achieved 7. reverse steps Φ 11 Φ Φ Φ + 10, Φ 01 CNOT result: 01 Φ Φ
11 Readout Scheme (1/4) 11 spin-to-charge conversion by spin-dependent tunnelling Goal: read state of target qubit q t Recipe: 1. couple q t to read- out qubit q r so that. q t - electron will tunnel to q r iff q t = 0 3. monitor charge state of q r with an SET 4. reset charge states Result: Single- electron transistor (SET) is off for q t = 1, q r in neutral D 0 state on for q t = 0, q r in charged D state (d) No Tunneling (q t = ) q t = D 0 (c) Tunneling (q t = ) J J A t SiO barrier A t J J E-field A r q r A r SiO barrier D 0 SET SET D 0 state: 1 electron (of q r ) D state: electrons (of q t and q r ) D state exists only for S = 0! must force total electron spin S=0 when q t = 0 D + q t = E-field q r D
12 E/µ B B 0 A t A r >> hω J A t = A r A t = A r Readout Scheme (/4) 1.50 Φ + q t initially in state Φ T Φ + T Φ + T Φ S q t initially in state 1 two S Φ rous Electron States Nuclear States with S = 1 T = (c) Tunneling (q 0 t = ) (d) No Tunneling (q Φ + = 1/ + t = ) J/µ B Figu J A B 0 S = 0 S = 1/ t J A Φ = 1/ r J A t J A r J-ga SET SET (b) States Adiabatically Evolved through the Cross SiO betw S barrier SiO barrier elec 1.49 Φ E-field E-field J/µ B B 0 < 0.5, J Φ T + A t A r >> hω J q t = q r q t = q r Φ T Φ + q t initially in state 1.50 Φ + q Φ t initially in state S Figure 4. Single-Electron Transistor Φ+ (SET) (c) Tunneling Readout (q (d Φ t = ) Scheme sisto (a) The graph shows the eight lowest-energy nuclear-spin J A states t J for the A coupled r 1.51 target and readout qubits q t, q r in the region where the S = 0 and the lowest SET energy S = 1 electron-spin states cross. (b) We can adiabatically evolve the J/µ B B SiO 0 barrier nuclear-electron states by biasing the J- and A-gates, as seen in this (partial) sequence of steps. The electrons are initially in the S = 1 state T E-field. If q J/µ B B 0 < 0.5, J/µ B B 0 < 0.5, J/µ B B 0 > 0.5, t was initially in the A t = Astate, then the r A t A r >> hω J Aelectrons t = A r will remain in T regardless of the state q t = q r of q r. If initially q t =, then at the end of the sequence, the electrons will be in q t initially in state the S = 0 state S. (c) Only the two electrons in the S state can bind to a single T Φ + T Φ + phosphorous atom in silicon. Given a suitable biasing of the gate electrodes, we can try to T induce Φ an electron S to tunnel to a readout qubit q q t initially in state r. If the tunneling is successful, the electrons were S in Φ the S state, and q t =. The tunneling current E/µ B B The thos gate W get atom get A the tron way ates sour fere sour sma from of in acts to fl the
13 voltage is originally biased at V0, (blue dot), then a change in the local charge distribution effectively modifies it to V0 δ, and the source-drain current will change dramatically (red dot). (c) This is an image of the twin-set test device obtained with a scanning electron microscope. The image to the right is a magnified version of the central region. The twin-set device is fabricated by a double-angle evaporation process, which replicates each of the features. Unequal voltage on A1 and A causes an electron to tunnel from one bar to the next. (d) The movement of charge is detected as a change in the source/drain conductance in both SETs simultaneously. The two signals r can be correlated to discriminate the charge transfer signal from reproducible charge noise or from random noise events. Read-Out Scheme (3/4) Conductance, G (e/h) (d) Left SET Charge noise 13 left SET right SET SET Vpulse ISET Correlation (a. u.) Typical SET signal as a function of gate voltage, Right SET which mimics the extra electron tunnelling onto the readout qubit q. G G SETs awhile re used side- by- side in o rder to (ii) electron resides Here, on thetwo donor, ISET 6= 0 when the random charge fluctuations ( noise ) donor is ionized.distinguish The readout protocol consists of three rem 13 in Fig. 1b. s(i) A Load phase, during spin phases, shownfrom intended ignals. which an electron in an unknowngives spinhstate tunnels from ratio.iset Their correlation igh signal- to- noise Gate voltage (V) the SET island to the donor, since µ SET SET > µ#, µ". The electron loading is signalled by ISET dropping to zero. the We have developed several readout due to the discrete, single-electron capacitive coupling between the gate simulation devices to testkane the proper-readout: tunneling events. Those events cause and the island. This means that for Problem with sing particular voltage biases on the gate, ties of our SETs built in house. In the the output of both SETs to change state very near conduction band abruptly. edge, likely todue ionise. (iii) source, Dand drain, currentis flow device seen in Figure 5, two thin In contrast, signals to through the SET becomes exquisitely metal bars, isolated from each other unwanted charge noise (reproducible to e sensitive to minute changes in the by a tunnel junction, substitute for the fluctuations in the conductance versus Load Read Empty voltage curve) tend notbto affect both charge distribution of the local enviphosphorous atoms.acontrol gates are load μ SETs simultaneously. By correlating ronment. The presence of a single used to electrostatically push single Source μ electrons from one bar to the next. the outputs of the two SETs,μwe are additional electron is readily M detectable as amodern change in the SET s The two SETs are then used to detect able to clearly identify the singlereadout μ charge transfer events and reject source/drain conductance. the change in the charge distribution SET SET t uses tunnelling of qt ISET island Fig. onto SET island in chan 93 out Number 7 00 Los Alamos Science Single electron peak Drain t V D
14 Readout Scheme (4/4) Nature 467 (010) 687; 489 (01) 541; 496 (013) All experiments at 300 mk. Very high- fidelity readout moderately fast ESR pulses (pi = 75 ns) e- spin T e = 00 µs, with XYXY: 400 µs can also use nuclear spin T n = 3.5 ms (D 0 state) T n = 60 ms (D + state) but (pi = 66 µs)
15 Kane s Silicon QC - a Summary 15 Clear concept for DiVincenzo-compatible scalability Rather slow hardware due to indirect coupling Very hard to fabricate, but break-throughs in read-out (010) and manipulation (013) new ion implantation techniques (from ion traps) silicon industry advances as well (smaller feature sizes) Some revival of interest after too many silent years don t count it out yet!
Electron spin qubits in P donors in Silicon
Electron spin qubits in P donors in Silicon IDEA League lectures on Quantum Information Processing 7 September 2015 Lieven Vandersypen http://vandersypenlab.tudelft.nl Slides with black background courtesy
More informationQuantum computation and quantum information
Quantum computation and quantum information Chapter 7 - Physical Realizations - Part 2 First: sign up for the lab! do hand-ins and project! Ch. 7 Physical Realizations Deviate from the book 2 lectures,
More informationImage courtesy of Keith Schwab http://www.lbl.gov/science-articles/archive/afrd Articles/Archive/AFRD-quantum-logic.html http://www.wmi.badw.de/sfb631/tps/dqd2.gif http://qist.lanl.gov/qcomp_map.shtml
More informationToward a Silicon-Based Nuclear-Spin Quantum Computer Developing the technology for a scalable, solid-state quantum computer
Toward a Silicon-Based Nuclear-Spin Quantum Computer Developing the technology for a scalable, solid-state quantum computer Robert G. Clark, P. Chris Hammel, Andrew Dzurak, Alexander Hamilton, Lloyd Hollenberg,
More informationLecture 8, April 12, 2017
Lecture 8, April 12, 2017 This week (part 2): Semiconductor quantum dots for QIP Introduction to QDs Single spins for qubits Initialization Read-Out Single qubit gates Book on basics: Thomas Ihn, Semiconductor
More informationQuantum Information Processing with Semiconductor Quantum Dots. slides courtesy of Lieven Vandersypen, TU Delft
Quantum Information Processing with Semiconductor Quantum Dots slides courtesy of Lieven Vandersypen, TU Delft Can we access the quantum world at the level of single-particles? in a solid state environment?
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 Semiconductor Quantum Dots
Quantum Information Processing with Semiconductor Quantum Dots slides courtesy of Lieven Vandersypen, TU Delft Can we access the quantum world at the level of single-particles? in a solid state environment?
More informationDeveloping Quantum Logic Gates: Spin-Resonance-Transistors
Developing Quantum Logic Gates: Spin-Resonance-Transistors H. W. Jiang (UCLA) SRT: a Field Effect Transistor in which the channel resistance monitors electron spin resonance, and the resonance frequency
More informationElectrical Control of Single Spins in Semiconductor Quantum Dots Jason Petta Physics Department, Princeton University
Electrical Control of Single Spins in Semiconductor Quantum Dots Jason Petta Physics Department, Princeton University g Q 2 m T + S Mirror U 3 U 1 U 2 U 3 Mirror Detector See Hanson et al., Rev. Mod. Phys.
More informationManipulating and characterizing spin qubits based on donors in silicon with electromagnetic field
Network for Computational Nanotechnology (NCN) Purdue, Norfolk State, Northwestern, MIT, Molecular Foundry, UC Berkeley, Univ. of Illinois, UTEP Manipulating and characterizing spin qubits based on donors
More informationQuantum control of spin qubits in silicon
Quantum control of spin qubits in silicon Belita Koiller Instituto de Física Universidade Federal do Rio de Janeiro Brazil II Quantum Information Workshop Paraty, 8-11 September 2009 Motivation B.E.Kane,
More informationSUPPLEMENTARY INFORMATION
doi:10.1038/nature11449 1 Fabrication and measurement methods The device was fabricated on a high-purity, near-intrinsic, natural-isotope [100] silicon substrate, with n + ohmic source/drain contacts obtained
More informationSemiconductor Physics Problems 2015
Semiconductor Physics Problems 2015 Page and figure numbers refer to Semiconductor Devices Physics and Technology, 3rd edition, by SM Sze and M-K Lee 1. The purest semiconductor crystals it is possible
More informationsingle-electron electron tunneling (SET)
single-electron electron tunneling (SET) classical dots (SET islands): level spacing is NOT important; only the charging energy (=classical effect, many electrons on the island) quantum dots: : level spacing
More informationElectronic transport in low dimensional systems
Electronic transport in low dimensional systems For example: 2D system l
More informationThe Development of a Quantum Computer in Silicon
The Development of a Quantum Computer in Silicon Professor Michelle Simmons Director, Centre of Excellence for Quantum Computation and Communication Technology, Sydney, Australia December 4th, 2013 Outline
More informationSingle Electron Transistor (SET)
Single Electron Transistor (SET) e - e - dot C g V g A single electron transistor is similar to a normal transistor (below), except 1) the channel is replaced by a small dot. 2) the dot is separated from
More informationEE 5211 Analog Integrated Circuit Design. Hua Tang Fall 2012
EE 5211 Analog Integrated Circuit Design Hua Tang Fall 2012 Today s topic: 1. Introduction to Analog IC 2. IC Manufacturing (Chapter 2) Introduction What is Integrated Circuit (IC) vs discrete circuits?
More informationLecture 2. Introduction to semiconductors Structures and characteristics in semiconductors
Lecture 2 Introduction to semiconductors Structures and characteristics in semiconductors Semiconductor p-n junction Metal Oxide Silicon structure Semiconductor contact Literature Glen F. Knoll, Radiation
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 informationClassification of Solids
Classification of Solids Classification by conductivity, which is related to the band structure: (Filled bands are shown dark; D(E) = Density of states) Class Electron Density Density of States D(E) Examples
More informationSilicon-based Quantum Computation. Thomas Schenkel
Silicon-based Quantum Computation Thomas Schenkel E. O. Lawrence Berkeley National Laboratory T_Schenkel@LBL.gov http://www-ebit.lbl.gov/ Thomas Schenkel, Accelerator and Fusion Research Superconductors
More informationarxiv:cond-mat/ v1 [cond-mat.mtrl-sci] 26 Feb 2004
Voltage Control of Exchange Coupling in Phosphorus Doped Silicon arxiv:cond-mat/42642v1 [cond-mat.mtrl-sci] 26 Feb 24 C.J. Wellard a, L.C.L. Hollenberg a, L.M. Kettle b and H.-S. Goan c Centre for Quantum
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 informationLecture 2: Double quantum dots
Lecture 2: Double quantum dots Basics Pauli blockade Spin initialization and readout in double dots Spin relaxation in double quantum dots Quick Review Quantum dot Single spin qubit 1 Qubit states: 450
More informationChem 481 Lecture Material 3/20/09
Chem 481 Lecture Material 3/20/09 Radiation Detection and Measurement Semiconductor Detectors The electrons in a sample of silicon are each bound to specific silicon atoms (occupy the valence band). If
More informationarxiv: v2 [cond-mat.mes-hall] 22 Feb 2016
Surface code architecture donors and dots in silicon with imprecise and non-uniform qubit couplings G. Pica, 1 B. W. Lovett, 1 R. N. Bhatt, T. Schenkel, 3 and S. A. Lyon 1 SUPA, School of Physics and Astronomy,
More information400 nm Solid State Qubits (1) Daniel Esteve GROUP. SPEC, CEA-Saclay
400 nm Solid State Qubits (1) S D Daniel Esteve QUAN UM ELECT RONICS GROUP SPEC, CEA-Saclay From the Copenhagen school (1937) Max Planck front row, L to R : Bohr, Heisenberg, Pauli,Stern, Meitner, Ladenburg,
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 informationSuperconducting quantum bits. Péter Makk
Superconducting quantum bits Péter Makk Qubits Qubit = quantum mechanical two level system DiVincenzo criteria for quantum computation: 1. Register of 2-level systems (qubits), n = 2 N states: eg. 101..01>
More informationDesign Considerations for Integrated Semiconductor Control Electronics for a Large-scale Solid State Quantum Processor
Design Considerations for Integrated Semiconductor Control Electronics for a Large-scale Solid State Quantum Processor Hendrik Bluhm Andre Kruth Lotte Geck Carsten Degenhardt 1 0 Ψ 1 Quantum Computing
More informationNumerical study of hydrogenic effective mass theory for an impurity P donor in Si in the presence of an electric field and interfaces
PHYSICAL REVIEW B 68, 075317 003 Numerical study of hydrogenic effective mass theory for an impurity P donor in Si in the presence of an electric field and interfaces L. M. Kettle, 1, H.-S. Goan, 3 Sean
More informationQuantum Computing. The Future of Advanced (Secure) Computing. Dr. Eric Dauler. MIT Lincoln Laboratory 5 March 2018
The Future of Advanced (Secure) Computing Quantum Computing This material is based upon work supported by the Assistant Secretary of Defense for Research and Engineering and the Office of the Director
More informationHerre van der Zant. interplay between molecular spin and electron transport (molecular spintronics) Gate
transport through the single molecule magnet Mn12 Herre van der Zant H.B. Heersche, Z. de Groot (Delft) C. Romeike, M. Wegewijs (RWTH Aachen) D. Barreca, E. Tondello (Padova) L. Zobbi, A. Cornia (Modena)
More informationLecture 2. Introduction to semiconductors Structures and characteristics in semiconductors
Lecture 2 Introduction to semiconductors Structures and characteristics in semiconductors Semiconductor p-n junction Metal Oxide Silicon structure Semiconductor contact Literature Glen F. Knoll, Radiation
More informationQuantum Computing. Separating the 'hope' from the 'hype' Suzanne Gildert (D-Wave Systems, Inc) 4th September :00am PST, Teleplace
Quantum Computing Separating the 'hope' from the 'hype' Suzanne Gildert (D-Wave Systems, Inc) 4th September 2010 10:00am PST, Teleplace The Hope All computing is constrained by the laws of Physics and
More informationSemi-Conductors insulators semi-conductors N-type Semi-Conductors P-type Semi-Conductors
Semi-Conductors In the metal materials considered earlier, the coupling of the atoms together to form the material decouples an electron from each atom setting it free to roam around inside the material.
More informationQuantum Dot Spin QuBits
QSIT Student Presentations Quantum Dot Spin QuBits Quantum Devices for Information Technology Outline I. Double Quantum Dot S II. The Logical Qubit T 0 III. Experiments I. Double Quantum Dot 1. Reminder
More informationHow a single defect can affect silicon nano-devices. Ted Thorbeck
How a single defect can affect silicon nano-devices Ted Thorbeck tedt@nist.gov The Big Idea As MOS-FETs continue to shrink, single atomic scale defects are beginning to affect device performance Gate Source
More informationSemiconductor Detectors
Semiconductor Detectors Summary of Last Lecture Band structure in Solids: Conduction band Conduction band thermal conductivity: E g > 5 ev Valence band Insulator Charge carrier in conductor: e - Charge
More informationEECS143 Microfabrication Technology
EECS143 Microfabrication Technology Professor Ali Javey Introduction to Materials Lecture 1 Evolution of Devices Yesterday s Transistor (1947) Today s Transistor (2006) Why Semiconductors? Conductors e.g
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 informationABSTRACT. Department of Physics. I present the results of experimental investigations into single electron transistors
ABSTRACT Title of dissertation: MEASUREMENTS OF CHARGE MOTION IN SILICON WITH A SINGLE ELECTRON TRANSISTOR: TOWARD INDIVIDUAL DOPANT CONTROL Kenton Randolph Brown, Doctor of Philosophy, 2005 Dissertation
More informationSemiconductor Physics and Devices Chapter 3.
Introduction to the Quantum Theory of Solids We applied quantum mechanics and Schrödinger s equation to determine the behavior of electrons in a potential. Important findings Semiconductor Physics and
More informationIntroduction to Quantum Mechanics of Superconducting Electrical Circuits
Introduction to Quantum Mechanics of Superconducting lectrical Circuits What is superconductivity? What is a osephson junction? What is a Cooper Pair Box Qubit? Quantum Modes of Superconducting Transmission
More informationSection 12: Intro to Devices
Section 12: Intro to Devices Extensive reading materials on reserve, including Robert F. Pierret, Semiconductor Device Fundamentals Bond Model of Electrons and Holes Si Si Si Si Si Si Si Si Si Silicon
More information(a) (b) Supplementary Figure 1. (a) (b) (a) Supplementary Figure 2. (a) (b) (c) (d) (e)
(a) (b) Supplementary Figure 1. (a) An AFM image of the device after the formation of the contact electrodes and the top gate dielectric Al 2 O 3. (b) A line scan performed along the white dashed line
More informationSUPPLEMENTARY INFORMATION
Fast spin information transfer between distant quantum dots using individual electrons B. Bertrand, S. Hermelin, S. Takada, M. Yamamoto, S. Tarucha, A. Ludwig, A. D. Wieck, C. Bäuerle, T. Meunier* Content
More informationESE370: Circuit-Level Modeling, Design, and Optimization for Digital Systems
ESE370: Circuit-Level Modeling, Design, and Optimization for Digital Systems Lec 6: September 14, 2015 MOS Model You are Here: Transistor Edition! Previously: simple models (0 and 1 st order) " Comfortable
More informationGraphene photodetectors with ultra-broadband and high responsivity at room temperature
SUPPLEMENTARY INFORMATION DOI: 10.1038/NNANO.2014.31 Graphene photodetectors with ultra-broadband and high responsivity at room temperature Chang-Hua Liu 1, You-Chia Chang 2, Ted Norris 1.2* and Zhaohui
More informationEngineering 2000 Chapter 8 Semiconductors. ENG2000: R.I. Hornsey Semi: 1
Engineering 2000 Chapter 8 Semiconductors ENG2000: R.I. Hornsey Semi: 1 Overview We need to know the electrical properties of Si To do this, we must also draw on some of the physical properties and we
More informationControlling Spin Qubits in Quantum Dots. C. M. Marcus Harvard University
Controlling Spin Qubits in Quantum Dots C. M. Marcus Harvard University 1 Controlling Spin Qubits in Quantum Dots C. M. Marcus Harvard University GaAs Experiments: David Reilly (Univ. Sydney) Edward Laird
More informationDeterministic Coherent Writing and Control of the Dark Exciton Spin using Short Single Optical Pulses
Deterministic Coherent Writing and Control of the Dark Exciton Spin using Short Single Optical Pulses Ido Schwartz, Dan Cogan, Emma Schmidgall, Liron Gantz, Yaroslav Don and David Gershoni The Physics
More informationIon traps. Trapping of charged particles in electromagnetic. Laser cooling, sympathetic cooling, optical clocks
Ion traps Trapping of charged particles in electromagnetic fields Dynamics of trapped ions Applications to nuclear physics and QED The Paul trap Laser cooling, sympathetic cooling, optical clocks Coulomb
More informationHighly tunable exchange in donor qubits in silicon
www.nature.com/npjqi All rights reserved 2056-6387/16 ARTICLE OPEN Yu Wang 1, Archana Tankasala 1, Lloyd CL Hollenberg 2, Gerhard Klimeck 1, Michelle Y Simmons 3 and Rajib Rahman 1 In this article we have
More informationSection 12: Intro to Devices
Section 12: Intro to Devices Extensive reading materials on reserve, including Robert F. Pierret, Semiconductor Device Fundamentals EE143 Ali Javey Bond Model of Electrons and Holes Si Si Si Si Si Si Si
More informationDetermination of the tunnel rates through a few-electron quantum dot
Determination of the tunnel rates through a few-electron quantum dot R. Hanson 1,I.T.Vink 1, D.P. DiVincenzo 2, L.M.K. Vandersypen 1, J.M. Elzerman 1, L.H. Willems van Beveren 1 and L.P. Kouwenhoven 1
More informationNanoelectronics. Topics
Nanoelectronics Topics Moore s Law Inorganic nanoelectronic devices Resonant tunneling Quantum dots Single electron transistors Motivation for molecular electronics The review article Overview of Nanoelectronic
More informationSemiconductor Detectors are Ionization Chambers. Detection volume with electric field Energy deposited positive and negative charge pairs
1 V. Semiconductor Detectors V.1. Principles Semiconductor Detectors are Ionization Chambers Detection volume with electric field Energy deposited positive and negative charge pairs Charges move in field
More informationFig. 8.1 : Schematic for single electron tunneling arrangement. For large system this charge is usually washed out by the thermal noise
Part 2 : Nanostuctures Lecture 1 : Coulomb blockade and single electron tunneling Module 8 : Coulomb blockade and single electron tunneling Coulomb blockade and single electron tunneling A typical semiconductor
More informationBasic Semiconductor Physics
6 Basic Semiconductor Physics 6.1 Introduction With this chapter we start with the discussion of some important concepts from semiconductor physics, which are required to understand the operation of solar
More informationQuantum computation with superconducting qubits
Quantum computation with superconducting qubits Project for course: Quantum Information Ognjen Malkoc June 10, 2013 1 Introduction 2 Josephson junction 3 Superconducting qubits 4 Circuit and Cavity QED
More informationSemiconductor Physics fall 2012 problems
Semiconductor Physics fall 2012 problems 1. An n-type sample of silicon has a uniform density N D = 10 16 atoms cm -3 of arsenic, and a p-type silicon sample has N A = 10 15 atoms cm -3 of boron. For each
More informationQuantum error correction on a hybrid spin system. Christoph Fischer, Andrea Rocchetto
Quantum error correction on a hybrid spin system Christoph Fischer, Andrea Rocchetto Christoph Fischer, Andrea Rocchetto 17/05/14 1 Outline Error correction: why we need it, how it works Experimental realization
More informationКвантовые цепи и кубиты
Квантовые цепи и кубиты Твердотельные наноструктуры и устройства для квантовых вычислений Лекция 2 А.В. Устинов Karlsruhe Institute of Technology, Germany Russian Quantum Center, Russia Trapped ions Degree
More informationMOS CAPACITOR AND MOSFET
EE336 Semiconductor Devices 1 MOS CAPACITOR AND MOSFET Dr. Mohammed M. Farag Ideal MOS Capacitor Semiconductor Devices Physics and Technology Chapter 5 EE336 Semiconductor Devices 2 MOS Capacitor Structure
More informationChap. 11 Semiconductor Diodes
Chap. 11 Semiconductor Diodes Semiconductor diodes provide the best resolution for energy measurements, silicon based devices are generally used for charged-particles, germanium for photons. Scintillators
More informationElectric Field-Dependent Charge-Carrier Velocity in Semiconducting Carbon. Nanotubes. Yung-Fu Chen and M. S. Fuhrer
Electric Field-Dependent Charge-Carrier Velocity in Semiconducting Carbon Nanotubes Yung-Fu Chen and M. S. Fuhrer Department of Physics and Center for Superconductivity Research, University of Maryland,
More informationSingle Electron Transistor (SET)
Single Electron Transistor (SET) SET: e - e - dot A single electron transistor is similar to a normal transistor (below), except 1) the channel is replaced by a small dot. C g 2) the dot is separated from
More informationIon Implantation. alternative to diffusion for the introduction of dopants essentially a physical process, rather than chemical advantages:
Ion Implantation alternative to diffusion for the introduction of dopants essentially a physical process, rather than chemical advantages: mass separation allows wide varies of dopants dose control: diffusion
More informationQuantum Computing with neutral atoms and artificial ions
Quantum Computing with neutral atoms and artificial ions NIST, Gaithersburg: Carl Williams Paul Julienne T. C. Quantum Optics Group, Innsbruck: Peter Zoller Andrew Daley Uwe Dorner Peter Fedichev Peter
More informationMonolayer Semiconductors
Monolayer Semiconductors Gilbert Arias California State University San Bernardino University of Washington INT REU, 2013 Advisor: Xiaodong Xu (Dated: August 24, 2013) Abstract Silicon may be unable to
More informationIntroduction. Resonant Cooling of Nuclear Spins in Quantum Dots
Introduction Resonant Cooling of Nuclear Spins in Quantum Dots Mark Rudner Massachusetts Institute of Technology For related details see: M. S. Rudner and L. S. Levitov, Phys. Rev. Lett. 99, 036602 (2007);
More information3C3 Analogue Circuits
Department of Electronic & Electrical Engineering Trinity College Dublin, 2014 3C3 Analogue Circuits Prof J K Vij jvij@tcd.ie Lecture 1: Introduction/ Semiconductors & Doping 1 Course Outline (subject
More informationQuantum physics in quantum dots
Quantum physics in quantum dots Klaus Ensslin Solid State Physics Zürich AFM nanolithography Multi-terminal tunneling Rings and dots Time-resolved charge detection Moore s Law Transistors per chip 10 9
More informationCLASS 1 & 2 REVISION ON SEMICONDUCTOR PHYSICS. Reference: Electronic Devices by Floyd
CLASS 1 & 2 REVISION ON SEMICONDUCTOR PHYSICS Reference: Electronic Devices by Floyd 1 ELECTRONIC DEVICES Diodes, transistors and integrated circuits (IC) are typical devices in electronic circuits. All
More informationStretching the Barriers An analysis of MOSFET Scaling. Presenters (in order) Zeinab Mousavi Stephanie Teich-McGoldrick Aseem Jain Jaspreet Wadhwa
Stretching the Barriers An analysis of MOSFET Scaling Presenters (in order) Zeinab Mousavi Stephanie Teich-McGoldrick Aseem Jain Jaspreet Wadhwa Why Small? Higher Current Lower Gate Capacitance Higher
More informationQuantum Computing with Semiconductor Quantum Dots
X 5 Quantum Computing with Semiconductor Quantum Dots Carola Meyer Institut für Festkörperforschung (IFF-9) Forschungszentrum Jülich GmbH Contents 1 Introduction 2 2 The Loss-DiVincenzo proposal 2 3 Read-out
More informationCMSC 33001: Novel Computing Architectures and Technologies. Lecture 06: Trapped Ion Quantum Computing. October 8, 2018
CMSC 33001: Novel Computing Architectures and Technologies Lecturer: Kevin Gui Scribe: Kevin Gui Lecture 06: Trapped Ion Quantum Computing October 8, 2018 1 Introduction Trapped ion is one of the physical
More informationNBTI and Spin Dependent Charge Pumping in 4H-SiC MOSFETs
NBTI and Spin Dependent Charge Pumping in 4H-SiC MOSFETs Mark A. Anders, Patrick M. Lenahan, Pennsylvania State University Aivars Lelis, US Army Research Laboratory Energy Deviations from the resonance
More information!. 2) 3. '45 ( !"#!$%!&&' 9,.. : Cavity QED . / 3., /*. Ion trap 6..,%, Magnetic resonance Superconductor
0 1!"#!$%!&&' ()*+,-! 2) 3 '45 ( 0 9, : 3, * 6,%, -73 35 8 Cavity QED Magnetic resonance Ion trap Superconductor 7 : ) :; 1 ( 6 7? 2 + ' - < 75 @ *6 97
More informationBuilding Blocks for Quantum Computing Part IV. Design and Construction of the Trapped Ion Quantum Computer (TIQC)
Building Blocks for Quantum Computing Part IV Design and Construction of the Trapped Ion Quantum Computer (TIQC) CSC801 Seminar on Quantum Computing Spring 2018 1 Goal Is To Understand The Principles And
More informationScalable Quantum Computing With Enhancement Quantum Dots
Scalable Quantum Computing With Enhancement Quantum Dots Y. B. Lyanda-Geller a, M. J. Yang b and C. H. Yang c a Department of Physics, Purdue University, West Lafayette, IN 47907 b Naval Research Laboratory,
More informationParity-Protected Josephson Qubits
Parity-Protected Josephson Qubits Matthew Bell 1,2, Wenyuan Zhang 1, Lev Ioffe 1,3, and Michael Gershenson 1 1 Department of Physics and Astronomy, Rutgers University, New Jersey 2 Department of Electrical
More informationChapter 4: Bonding in Solids and Electronic Properties. Free electron theory
Chapter 4: Bonding in Solids and Electronic Properties Free electron theory Consider free electrons in a metal an electron gas. regards a metal as a box in which electrons are free to move. assumes nuclei
More informationElectronic Structure of Surfaces
Electronic Structure of Surfaces When solids made of an infinite number of atoms are formed, it is a common misconception to consider each atom individually. Rather, we must consider the structure of the
More informationMeasurement Based Quantum Computing, Graph States, and Near-term Realizations
Measurement Based Quantum Computing, Graph States, and Near-term Realizations Miami 2018 Antonio Russo Edwin Barnes S. E. Economou 17 December 2018 Virginia Polytechnic Institute and State University A.
More informationSolid State Device Fundamentals
Solid State Device Fundamentals ENS 345 Lecture Course by Alexander M. Zaitsev alexander.zaitsev@csi.cuny.edu Tel: 718 982 2812 Office 4N101b 1 Outline - Goals of the course. What is electronic device?
More informationSingle Spin Qubits, Qubit Gates and Qubit Transfer with Quantum Dots
International School of Physics "Enrico Fermi : Quantum Spintronics and Related Phenomena June 22-23, 2012 Varenna, Italy Single Spin Qubits, Qubit Gates and Qubit Transfer with Quantum Dots Seigo Tarucha
More informationBuilding Blocks for Quantum Computing Part V Operation of the Trapped Ion Quantum Computer
Building Blocks for Quantum Computing Part V Operation of the Trapped Ion Quantum Computer CSC801 Seminar on Quantum Computing Spring 2018 1 Goal Is To Understand The Principles And Operation of the Trapped
More informationTransport through Andreev Bound States in a Superconductor-Quantum Dot-Graphene System
Transport through Andreev Bound States in a Superconductor-Quantum Dot-Graphene System Nadya Mason Travis Dirk, Yung-Fu Chen, Cesar Chialvo Taylor Hughes, Siddhartha Lal, Bruno Uchoa Paul Goldbart University
More informationElectronic Devices & Circuits
Electronic Devices & Circuits For Electronics & Communication Engineering By www.thegateacademy.com Syllabus Syllabus for Electronic Devices Energy Bands in Intrinsic and Extrinsic Silicon, Carrier Transport,
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 informationDemonstration of a functional quantum-dot cellular automata cell
Demonstration of a functional quantum-dot cellular automata cell Islamshah Amlani, a) Alexei O. Orlov, Gregory L. Snider, Craig S. Lent, and Gary H. Bernstein Department of Electrical Engineering, University
More information! Previously: simple models (0 and 1 st order) " Comfortable with basic functions and circuits. ! This week and next (4 lectures)
ESE370: CircuitLevel Modeling, Design, and Optimization for Digital Systems Lec 6: September 14, 2015 MOS Model You are Here: Transistor Edition! Previously: simple models (0 and 1 st order) " Comfortable
More informationABSTRACT. Department of Physics. a narrow ( 100 nm) metal-oxide-semiconductor field-effect transistor (MOSFET).
ABSTRACT Title of dissertation: CHARACTERIZATION OF METAL-OXIDE-SEMICONDUCTOR STRUCTURES AT LOW TEMPERATURES USING SELF-ALIGNED AND VERTICALLY COUPLED ALUMINUM AND SILICON SINGLE-ELECTRON TRANSISTORS Luyan
More informationSemiconductor device structures are traditionally divided into homojunction devices
0. Introduction: Semiconductor device structures are traditionally divided into homojunction devices (devices consisting of only one type of semiconductor material) and heterojunction devices (consisting
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-dot cellular automata
Quantum-dot cellular automata G. L. Snider, a) A. O. Orlov, I. Amlani, X. Zuo, G. H. Bernstein, C. S. Lent, J. L. Merz, and W. Porod Department of Electrical Engineering, University of Notre Dame, Notre
More information