Magnetic semiconductors. (Dilute) Magnetic semiconductors

Size: px
Start display at page:

Download "Magnetic semiconductors. (Dilute) Magnetic semiconductors"

Transcription

1 Magnetic semiconductors We saw last time that: We d like to do spintronics in semiconductors, because semiconductors have many nice properties (gateability, controllable spin-orbit effects, long spin lifetimes). Injecting spin efficiently into semiconductors from FM metals is hard because of the conductivity mismatch between materials, and the best way to do it is with tunnel barriers. Ideally, want FM semiconductors: Ohno et al., Nature (1999) (Dilute) Magnetic semiconductors Getting FM in semiconductors is not trivial. Recall why we have FM in metals: Band structure leads to enhanced exchange interactions between (relatively) localized spins (d- or f-shell electrons). Conduction electrons can play a very important role. In semiconductors, Carriers present are only there because of doping, and at much lower concentrations. No natural localized spins. Situation today: Add localized spins by doping (e.g. with Mn). Mechanism of FM still not universally clear. Curie temperatures still not great 1

2 Magnetic semiconductors - description Main family: III-V compound semiconductors. Most common magnetic dopant in Mn (group II). Result: III(Mn)-V compounds are p-type. Grown by low-temperature MBE - not thermodynamically stable. Typical concentration something like Ga 0.95 Mn 0.05 As. Ohno et al., Science (1998) Note that these materials are quite heavily doped! II-VI materials have been much harder to work with (unable to dope; exchange interaction difficult to control). Magnetic semiconductors - description Tanaka., J. Cryst. Growth 278, 25 (2005) 2

3 DMS: magnetic properties Koshihara et al., PRL 78, 4617 (1997). In 0.95 Mn 0.05 As has T c ~ 30 K. Ga 0.95 Mn 0.05 As has T c ~ 110 K. Magnetic order depends very strongly on carrier density! Can therefore be manipulated. Light-induced ferromagnetism! DMS: magnetic properties Sensitivity to carrier concentration means it s possible to have gateable ferromagnetism! Potentially very exciting for spintronics applications. Major problems: Temperature range is poor. Materials compatibility is not very good, either. Ohno et al., Nature (2000) 3

4 DMS: heterostructures Can try to avoid disorder problems by modulation doping, as in regular heterostructures. So far, have increased T c up to higher values (~ 175 K) in GaMnAs system. Tanaka., J. Cryst. Growth 278, 25 (2005) DMS: group IV possibilities Recent progress in Mn x Ge 1-x growth. Again, low T ferromagnetism, with gate modulation as hole concentration is varied. Park et al., Science (2002) 4

5 Quantum Computation - a very quick intro A prime motivation for manipulation of spins in semiconductors is to perform quantum information processsing. What is quantum computation? Using the quantum properties of quantum-bits (qubits) to perform calculations more rapidly (in principle) than is possible with classical computers. Why should this be possible? Imagine a collection of N bits that can be 1 or 0. With these N bits one can represent any integer from 0 up to 2 N -1. Now suppose these bits are quantum mechanical objects. = New Roadmap for QIP. Qubits and their properties Consider N spin-1/2 particles, with spin up corresponding to 1 and spin down corresponding to 0. The quantum mechanical state of these states for 1 such qubit is written 1> or 0>. 1 Now, though, we can consider superpositions: ( ) 2 More conventional to think of these spins as column vectors: / 2 1 ( ) 2 1/ 2 Logic operations are now actually unitary operations on the spins (though in general this requires a dial-a-hamiltonian box). 5

6 Qubits and their properties A generic unitary operator: U θ cos( θ / 2) sin( θ / 2) sin( θ / 2) cos( θ / 2) So, U π inverts a qubit (up to a phase): U π 0 = Uπ 0 = = = 1 U π 1 = = = So, U π/2 produces a superposition: U π ( 0 1 ) 1 / 2 0 = + 2 What can this do for us? Imagine a string of N qubits, starting out in 0000 >. Use the state of each qubit to represent a binary number, a. Now apply the linear operator U π/2 to each qubit in this state. Result: 1 1 N a N 2 a= 0 We ve now prepared the qubits in a superposition of all their possible values! From a linear number of operations N, we ve produced a superposition with an exponentially large number of terms, 2 N. 6

7 What can this do for us? Now suppose we had two such strings. Suppose we had an operator O that, when operating on a string a returned a particular function f(a). That is, O a; 0 a; f ( a) Consider applying this operator to our big superposition: O 1 2 N 1 N a= 0 a;0 1 2 N 1 N a= 0 a; f ( a) Now with a single operation we ve computed f(a) for an exponentially large number of possible a. That s the crux of quantum computation! Because of this kind of quantum parallelism, it s possible to do certain computations much faster than with classical computers. What kinds of applications? There are already quantum algorithms (well-defined series of operations) for: Searching databases (Lov Grover) Factoring large numbers (Peter Schor) This is an extremely hot field in computer science right now. Big funding: DARPA, NSA Big players: IBM, Microsoft, Intel 7

8 What do we need to accomplish all this? Requirements according to David DiVincenzo (IBM): 1. Be a scalable physical system with well-defined qubits 2. Be initializable to a simple fiducial state such as > 3. Have much longer decoherence times 4. Have a universal set of quantum gates 5. Permit high quantum efficiency, qubit-specific measurements Universal quantum gates: can be proven that one only needs two kinds of gates (NOT and XOR) operating on 2 qubits at a time to do general quantum computations (with some other subtleties). Why is this difficult? One needs to be able to go in and couple qubits together with great precision, almost aribitrarily. How can one manipulate one particular qubit without accidently decohering the entire system? System must be isolated from the environment so that coherence times are long compared to operation times. One really wants to do this in a way that s scaleable. 8

9 How are people trying to implement QIP? Several approaches: Optical trapping / manipulation of atoms and ions NMR (liquid, solids) Quantum dots Superconducting qubits Everyone would love to do this in the solid state, because it would scale well and interface with existing technology. NMR Idea is to use nuclear spins in some system as qubits. Problem: you don t really have pure quantum states. Solution: with qubits, you can fudge things and have effective pure states. Ex: investigators at MIT have used 13 nuclear spins in a molecule to factor the number 15 = 5 x 3. NMR in molecules does not scale well: Individual chemical shifts of NMR frequencies are too limited - can t individually flip 8456th spin out of 10000, for example. 9

10 NMR hybrid - solid state possibility Kane., Nature (1998) Use P dopants in Si as qubits. Big hyperfine + Starck effects = dialable NMR frequencies to address individual qubits. Could be read out electrostatically. Quantum dots Idea of Divincenzo and Loss: use electron spins as qubits. Each qubit is a single electron in a quantum dot. Use gates to manipulate exchange interaction between neighboring qubits. Use SETs to read out states of qubits when done. Univ. of Wisconsin 10

11 Quantum dots Hanson et al., PRL 94, (2005) Possible to read out spin states of single electrons in quantum dots! Energies and wavefunctions of different spin states can differ. Quantum dots Hanson et al., PRL 94, (2005) Possible to read out spin states of single electrons in quantum dots! Energies and wavefunctions of different spin states can differ. 11

12 Quantum dots Petta et al., Science 309, 2180 (2005) Possible to read out spin states of single electrons in quantum dots! Can do manipulations at high speeds. Quantum dots Petta et al., Science 309, 2180 (2005) Possible to read out spin states of single electrons in quantum dots! Can do manipulations at high speeds. 12

13 Superconducting qubits Physics Today, November 2005 Several groups trying to use superconducting structures as qubits. Possible qubits include charge based ( Cooper pair box ), fluxbased, and Josephson phase based. Readout, manipulation all use nanofab. SQUIDs and SETs. Superconducting qubits McDermott et al., Science 307, 1299 (2005) 13

14 Ion trap qubits Recent advances suggest that ion traps may actually work very well! Leibfried et al., Nature 438, 639 (2005) Ion trap qubits Haffner et al., Nature 438, 643 (2005) 14

15 QIP summary: Very intriguing ideas Number of possible technologies, but it s not clear if any of them will work well in a practical manner. Many implementations would depend critically on nanofabrication and nanotechnology. Progress has been much more rapid than I imagined two years ago, particularly in the superconducting qubits and semiconductor quantum dot approaches. 15

The story so far: Today:

The story so far: Today: The story so far: Devices based on ferromagnetism have found tremendous utility in technology. Ferromagnetism at the nm scale is increasingly important, and physical effects (e.g. superparamagnetism) not

More information

Semiconductors: Applications in spintronics and quantum computation. Tatiana G. Rappoport Advanced Summer School Cinvestav 2005

Semiconductors: 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 information

phys4.20 Page 1 - the ac Josephson effect relates the voltage V across a Junction to the temporal change of the phase difference

phys4.20 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 information

2.0 Basic Elements of a Quantum Information Processor. 2.1 Classical information processing The carrier of information

2.0 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 information

Introduction to Superconductivity. Superconductivity was discovered in 1911 by Kamerlingh Onnes. Zero electrical resistance

Introduction to Superconductivity. Superconductivity was discovered in 1911 by Kamerlingh Onnes. Zero electrical resistance Introduction to Superconductivity Superconductivity was discovered in 1911 by Kamerlingh Onnes. Zero electrical resistance Meissner Effect Magnetic field expelled. Superconducting surface current ensures

More information

Electrical 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 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 information

Shallow 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 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 information

Image 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 information

Short Course in Quantum Information Lecture 8 Physical Implementations

Short 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 information

Experimental Quantum Computing: A technology overview

Experimental 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 information

QUANTUM 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. 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 information

IBM quantum experience: Experimental implementations, scope, and limitations

IBM 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 information

Deterministic 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 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 information

1.0 Introduction to Quantum Systems for Information Technology 1.1 Motivation

1.0 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 information

Quantum Computers. Todd A. Brun Communication Sciences Institute USC

Quantum 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 information

Superconducting quantum bits. Péter Makk

Superconducting 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 information

Controlling Spin Qubits in Quantum Dots. C. M. Marcus Harvard University

Controlling 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 information

Requirements for scaleable QIP

Requirements 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 information

quantum mechanics is a hugely successful theory... QSIT08.V01 Page 1

quantum 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 information

Quantum Computation 650 Spring 2009 Lectures The World of Quantum Information. Quantum Information: fundamental principles

Quantum 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 information

400 nm Solid State Qubits (1) Daniel Esteve GROUP. SPEC, CEA-Saclay

400 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 information

Quantum 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 :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 information

Secrets of Quantum Information Science

Secrets 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 information

Quantum control of spin qubits in silicon

Quantum 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 information

Reversible and Quantum computing. Fisica dell Energia - a.a. 2015/2016

Reversible 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 information

Quantum Information Processing with Semiconductor Quantum Dots

Quantum 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 information

Quantum Computing ~ Algorithms. HIO) 0 HIO) 010) = ~(l000) ) ) ))

Quantum Computing ~ Algorithms. HIO) 0 HIO) 010) = ~(l000) ) ) )) Quantum Computing 2. Algorithms C S Vijay and Vishal Gupta Introduction C S Vijay is in the final year of a dual degree program in microelectronics at the Department of Electrical Engineering at lit Mumbai.

More information

IBM Systems for Cognitive Solutions

IBM Systems for Cognitive Solutions IBM Q Quantum Computing IBM Systems for Cognitive Solutions Ehningen 12 th of July 2017 Albert Frisch, PhD - albert.frisch@de.ibm.com 2017 IBM 1 st wave of Quantum Revolution lasers atomic clocks GPS sensors

More information

Quantum 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 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 information

Post Von Neumann Computing

Post Von Neumann Computing Post Von Neumann Computing Matthias Kaiserswerth Hasler Stiftung (formerly IBM Research) 1 2014 IBM Corporation Foundation Purpose Support information and communication technologies (ICT) to advance Switzerland

More information

Spintronics at Nanoscale

Spintronics at Nanoscale Colloquium@NTHU Sep 22, 2004 Spintronics at Nanoscale Hsiu-Hau Lin Nat l Tsing-Hua Univ & Nat l Center for Theoretical Sciences What I have been doing Spintronics: Green s function theory for diluted magnetic

More information

From bits to qubits: a quantum leap for computers

From bits to qubits: a quantum leap for computers From bits to qubits: a quantum leap for computers Susan Coppersmith University of Wisconsin-Madison Department of Physics Susan Coppersmith career path: it felt like I was muddling along. B.S. from MIT

More information

Introduction to Spintronics and Spin Caloritronics. Tamara Nunner Freie Universität Berlin

Introduction to Spintronics and Spin Caloritronics. Tamara Nunner Freie Universität Berlin Introduction to Spintronics and Spin Caloritronics Tamara Nunner Freie Universität Berlin Outline Format of seminar How to give a presentation How to search for scientific literature Introduction to spintronics

More information

News from NBIA. Condensed Matter Physics: from new materials to quantum technology. time. Mark Rudner

News from NBIA. Condensed Matter Physics: from new materials to quantum technology. time. Mark Rudner News from NBIA Condensed Matter Physics: from new materials to quantum technology Mark Rudner time ~100 years after Bohr, the basic laws and players are established 1913 2013 Image from www.periodni.com

More information

Let's Build a Quantum Computer!

Let's Build a Quantum Computer! Let's Build a Quantum Computer! 31C3 29/12/2014 Andreas Dewes Acknowledgements go to "Quantronics Group", CEA Saclay. R. Lauro, Y. Kubo, F. Ong, A. Palacios-Laloy, V. Schmitt PhD Advisors: Denis Vion,

More information

Quantum Computing. The Future of Advanced (Secure) Computing. Dr. Eric Dauler. MIT Lincoln Laboratory 5 March 2018

Quantum 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 information

*WILEY- Quantum Computing. Joachim Stolze and Dieter Suter. A Short Course from Theory to Experiment. WILEY-VCH Verlag GmbH & Co.

*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 information

Quantum Dot Spin QuBits

Quantum 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 information

Quantum Information Processing with Liquid-State NMR

Quantum 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 information

Quantum Computation with Neutral Atoms Lectures 14-15

Quantum 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 information

Promise of Quantum Computation

Promise of Quantum Computation Quantum Computation, and Epilog: The Future of Computing 1 Promise of Quantum Computation Classical computers have their limitations: Factoring large numbers takes exponential time. No faster algorithm

More information

From Last Time. Partially full bands = metal Bands completely full or empty = insulator / seminconductor

From Last Time. Partially full bands = metal Bands completely full or empty = insulator / seminconductor From Last Time Solids are large numbers of atoms arranged in a regular crystal structure. Each atom has electron quantum states, but interactions shift the energies. End result is each type atomic electron

More information

Quantum computation and quantum information

Quantum 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 information

Superconducting Qubits. Nathan Kurz PHYS January 2007

Superconducting Qubits. Nathan Kurz PHYS January 2007 Superconducting Qubits Nathan Kurz PHYS 576 19 January 2007 Outline How do we get macroscopic quantum behavior out of a many-electron system? The basic building block the Josephson junction, how do we

More information

Complexity of the quantum adiabatic algorithm

Complexity of the quantum adiabatic algorithm Complexity of the quantum adiabatic algorithm Peter Young e-mail:peter@physics.ucsc.edu Collaborators: S. Knysh and V. N. Smelyanskiy Colloquium at Princeton, September 24, 2009 p.1 Introduction What is

More information

Quantum Effect or HPC without FLOPS. Lugano March 23, 2016

Quantum Effect or HPC without FLOPS. Lugano March 23, 2016 Quantum Effect or HPC without FLOPS Lugano March 23, 2016 Electronics April 19, 1965 2016 D-Wave Systems Inc. All Rights Reserved 2 Moore s Law 2016 D-Wave Systems Inc. All Rights Reserved 3 www.economist.com/technology-quarterly/2016-03-12/aftermoores-law

More information

Experimental Realization of Shor s Quantum Factoring Algorithm

Experimental 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 information

Supercondcting Qubits

Supercondcting Qubits Supercondcting Qubits Patricia Thrasher University of Washington, Seattle, Washington 98195 Superconducting qubits are electrical circuits based on the Josephson tunnel junctions and have the ability to

More information

Spintronics. Seminar report SUBMITTED TO: SUBMITTED BY:

Spintronics.  Seminar report SUBMITTED TO: SUBMITTED BY: A Seminar report On Spintronics Submitted in partial fulfillment of the requirement for the award of degree of Electronics SUBMITTED TO: SUBMITTED BY: www.studymafia.org www.studymafia.org Preface I have

More information

Saroj P. Dash. Chalmers University of Technology. Göteborg, Sweden. Microtechnology and Nanoscience-MC2

Saroj P. Dash. Chalmers University of Technology. Göteborg, Sweden. Microtechnology and Nanoscience-MC2 Silicon Spintronics Saroj P. Dash Chalmers University of Technology Microtechnology and Nanoscience-MC2 Göteborg, Sweden Acknowledgement Nth Netherlands University of Technology Sweden Mr. A. Dankert Dr.

More information

Topological Quantum Computation. George Toh 11/6/2017

Topological Quantum Computation. George Toh 11/6/2017 Topological Quantum Computation George Toh 11/6/2017 Contents Quantum Computing Comparison of QC vs TQC Topological Quantum Computation How to implement TQC? Examples, progress Industry investment Future

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY 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 information

CMSC 33001: Novel Computing Architectures and Technologies. Lecture 06: Trapped Ion Quantum Computing. October 8, 2018

CMSC 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 information

Quantum Computing. Joachim Stolze and Dieter Suter. A Short Course from Theory to Experiment. WILEY-VCH Verlag GmbH & Co. KGaA

Quantum 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 information

Material Science II. d Electron systems

Material Science II. d Electron systems Material Science II. d Electron systems 1. Electronic structure of transition-metal ions (May 23) 2. Crystal structure and band structure (June 13) 3. Mott s (June 20) 4. Metal- transition (June 27) 5.

More information

Tuning a short coherence length Josephson junction through a metal-insulator transition

Tuning a short coherence length Josephson junction through a metal-insulator transition Tuning a short coherence length Josephson junction through a metal-insulator transition J. K. Freericks, B. Nikolić, and P. Miller * Department of Physics, Georgetown University, Washington, DC 20057 *

More information

Spin electric coupling and coherent quantum control of molecular nanomagnets

Spin electric coupling and coherent quantum control of molecular nanomagnets Spin electric coupling and coherent quantum control of molecular nanomagnets Dimitrije Stepanenko Department of Physics University of Basel Institute of Physics, Belgrade February 15. 2010 Collaborators:

More information

Introduction to Quantum Computing

Introduction 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 information

The Quantum Supremacy Experiment

The Quantum Supremacy Experiment The Quantum Supremacy Experiment John Martinis, Google & UCSB New tests of QM: Does QM work for 10 15 Hilbert space? Does digitized error model also work? Demonstrate exponential computing power: Check

More information

Information processing in nanoscale systems

Information processing in nanoscale systems Information processing in nanoscale systems Mark Rudner Niels Bohr International Academy Image from: www.upscale.utoronto.ca 100 years after Bohr, the basic laws and players are established 1913 2013 Image

More information

Circuit Quantum Electrodynamics. Mark David Jenkins Martes cúantico, February 25th, 2014

Circuit Quantum Electrodynamics. Mark David Jenkins Martes cúantico, February 25th, 2014 Circuit Quantum Electrodynamics Mark David Jenkins Martes cúantico, February 25th, 2014 Introduction Theory details Strong coupling experiment Cavity quantum electrodynamics for superconducting electrical

More information

Fundamental concepts of spintronics

Fundamental concepts of spintronics Fundamental concepts of spintronics Jaroslav Fabian Institute for Theoretical Physics University of Regensburg Stara Lesna, 24. 8. 2008 SFB 689 :outline: what is spintronics? spin injection spin-orbit

More information

Semiconductor Spintronics

Semiconductor Spintronics IEEE TRANSACTIONS ON NANOTECHNOLOGY, VOL. 1, NO. 1, MARCH 2002 19 Semiconductor Spintronics Hiro Akinaga and Hideo Ohno, Member, IEEE Abstract We review recent progress made in the field of semiconductor

More information

Flux Noise in Superconducting Qubits

Flux Noise in Superconducting Qubits Flux Noise in Superconducting Qubits 10-9 10-10 S F (F 0 2 /Hz) 10-11 10-12 10-13 10-2 10-1 10 0 10 1 10 2 Frequency (Hz) Clare Yu, 1 Hui Wang, 1 Chuntai Shi, 1 Jun Hu, 1 Sungho Han, 1 Ruqian Wu, 1 Robert

More information

Lecture 2: Double quantum dots

Lecture 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 information

Lecture 8, April 12, 2017

Lecture 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 information

What is a quantum computer?

What is a quantum computer? What is a quantum computer? Lucas Paresqui Berruezo lucaspberruezo@gmail.com 3 de julho de 2015 1 Introduction Many people may have heard the words quantum computer, but only a few have actually seen one.

More information

QUANTUM 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 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 information

Quantum Computer. Jaewan Kim School of Computational Sciences Korea Institute for Advanced Study

Quantum Computer. Jaewan Kim School of Computational Sciences Korea Institute for Advanced Study Quantum Computer Jaewan Kim jaewan@kias.re.kr School of Computational Sciences Korea Institute for Advanced Study KIAS (Korea Institute for Advanced Study) Established in 1996 Located in Seoul, Korea Pure

More information

Lecture 2, March 2, 2017

Lecture 2, March 2, 2017 Lecture 2, March 2, 2017 Last week: Introduction to topics of lecture Algorithms Physical Systems The development of Quantum Information Science Quantum physics perspective Computer science perspective

More information

DNP in Quantum Computing Eisuke Abe Spintronics Research Center, Keio University

DNP 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 information

Single Spin Qubits, Qubit Gates and Qubit Transfer with Quantum Dots

Single 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 information

Optically controlled spin-polarization memory effect on Mn delta-doped heterostructures

Optically controlled spin-polarization memory effect on Mn delta-doped heterostructures Optically controlled spin-polarization memory effect on Mn delta-doped heterostructures M. A. G. Balanta 1,2,*, M. J. S. P. Brasil 1, F. Iikawa 1, Udson C. Mendes 1,3, J. A. Brum 1,Yu. A. Danilov 4, M.

More information

1 Measurement and expectation values

1 Measurement and expectation values C/CS/Phys 191 Measurement and expectation values, Intro to Spin 2/15/05 Spring 2005 Lecture 9 1 Measurement and expectation values Last time we discussed how useful it is to work in the basis of energy

More information

Experimental Methods for Quantum Control in Nuclear Spin Systems

Experimental 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 information

Electrical spin-injection into semiconductors

Electrical spin-injection into semiconductors Electrical spin-injection into semiconductors L. W. Molenkamp Physikalisches Institut Universität Würzburg Am Hubland 97074 Würzburg Germany Contents Motivation The usual approach Theoretical treatment

More information

Challenges for Materials to Support Emerging Research Devices

Challenges for Materials to Support Emerging Research Devices Challenges for Materials to Support Emerging Research Devices C. Michael Garner*, James Hutchby +, George Bourianoff*, and Victor Zhirnov + *Intel Corporation Santa Clara, CA + Semiconductor Research Corporation

More information

Quantum Computation with Neutral Atoms

Quantum 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 information

Mind the gap Solving optimization problems with a quantum computer

Mind the gap Solving optimization problems with a quantum computer Mind the gap Solving optimization problems with a quantum computer A.P. Young http://physics.ucsc.edu/~peter Work supported by Talk at Saarbrücken University, November 5, 2012 Collaborators: I. Hen, E.

More information

Detecting and using Majorana fermions in superconductors

Detecting and using Majorana fermions in superconductors Detecting and using Majorana fermions in superconductors Anton Akhmerov with Carlo Beenakker, Jan Dahlhaus, Fabian Hassler, and Michael Wimmer New J. Phys. 13, 053016 (2011) and arxiv:1105.0315 Superconductor

More information

The Development of a Quantum Computer in Silicon

The 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 information

QUANTUM TECHNOLOGIES: THE SECOND QUANTUM REVOLUTION* Jonathan P. Dowling

QUANTUM TECHNOLOGIES: THE SECOND QUANTUM REVOLUTION* Jonathan P. Dowling QUANTUM TECHNOLOGIES: THE SECOND QUANTUM REVOLUTION* Jonathan P. Dowling Quantum Science & Technologies Group Hearne Institute for Theoretical Physics Louisiana State University http://quantum.phys.lsu.edu

More information

Superconducting Qubits Lecture 4

Superconducting Qubits Lecture 4 Superconducting Qubits Lecture 4 Non-Resonant Coupling for Qubit Readout A. Blais, R.-S. Huang, A. Wallraff, S. M. Girvin, and R. J. Schoelkopf, PRA 69, 062320 (2004) Measurement Technique Dispersive Shift

More information

All optical quantum computation by engineering semiconductor. macroatoms. Irene D Amico. Dept. of Physics, University of York

All optical quantum computation by engineering semiconductor. macroatoms. Irene D Amico. Dept. of Physics, University of York All optical quantum computation by engineering semiconductor macroatoms Irene D Amico Dept. of Physics, University of York (Institute for Scientific Interchange, Torino) GaAs/AlAs, GaN/AlN Eliana Biolatti

More information

Quantum computing hardware

Quantum computing hardware Quantum computing hardware aka Experimental Aspects of Quantum Computation PHYS 576 Class format 1 st hour: introduction by BB 2 nd and 3 rd hour: two student presentations, about 40 minutes each followed

More information

Electrical control of spin relaxation in a quantum dot. S. Amasha et al., condmat/

Electrical control of spin relaxation in a quantum dot. S. Amasha et al., condmat/ Electrical control of spin relaxation in a quantum dot S. Amasha et al., condmat/07071656 Spin relaxation In a magnetic field, spin states are split b the Zeeman energ = g µ B B Provides a two-level sstem

More information

Using Light to Prepare and Probe an Electron Spin in a Quantum Dot

Using Light to Prepare and Probe an Electron Spin in a Quantum Dot A.S. Bracker, D. Gammon, E.A. Stinaff, M.E. Ware, J.G. Tischler, D. Park, A. Shabaev, and A.L. Efros Using Light to Prepare and Probe an Electron Spin in a Quantum Dot A.S. Bracker, D. Gammon, E.A. Stinaff,

More information

The story so far: Today:

The story so far: Today: The story so far: Devices based on ferromagnetism have found tremendous utility in technology. Ferromagnetism at the nm scale is increasingly important, and physical effects (e.g. superparamagnetism) not

More information

Quantum Optics and Quantum Informatics 7.5hp (FKA173) Introductory Lecture

Quantum Optics and Quantum Informatics 7.5hp (FKA173) Introductory Lecture Quantum Optics and Quantum Informatics 7.5hp (FKA173) Introductory Lecture Fasrummet (A820) 09:00 Oct. 31-2017 Lectures: Jonas Bylander (jonas.bylander@chalmers.se) and Thilo Bauch (bauch@chalmers.se)

More information

Majorana Fermions in Superconducting Chains

Majorana Fermions in Superconducting Chains 16 th December 2015 Majorana Fermions in Superconducting Chains Matilda Peruzzo Fermions (I) Quantum many-body theory: Fermions Bosons Fermions (II) Properties Pauli exclusion principle Fermions (II)

More information

The Future. Currently state of the art chips have gates of length 35 nanometers.

The Future. Currently state of the art chips have gates of length 35 nanometers. Quantum Computing Moore s Law The Future Currently state of the art chips have gates of length 35 nanometers. The Future Currently state of the art chips have gates of length 35 nanometers. When gate lengths

More information

Contents. List of contributors Preface. Part I Nanostructure design and structural properties of epitaxially grown quantum dots and nanowires 1

Contents. List of contributors Preface. Part I Nanostructure design and structural properties of epitaxially grown quantum dots and nanowires 1 Table of List of contributors Preface page xi xv Part I Nanostructure design and structural properties of epitaxially grown quantum dots and nanowires 1 1 Growth of III V semiconductor quantum dots C.

More information

PCE STAMP. Physics & Astronomy UBC Vancouver. Pacific Institute for Theoretical Physics

PCE STAMP. Physics & Astronomy UBC Vancouver. Pacific Institute for Theoretical Physics PCE STAMP Physics & Astronomy UBC Vancouver Pacific Institute for Theoretical Physics Limitations of EFFECTIVE HAMILTONIANS- Dissipation and Decoherence P.C.E. Stamp Arrows of Time 2004 (Outing Lodge,

More information

Modeling Schottky barrier SINIS junctions

Modeling Schottky barrier SINIS junctions Modeling Schottky barrier SINIS junctions J. K. Freericks, B. Nikolić, and P. Miller * Department of Physics, Georgetown University, Washington, DC 20057 * Department of Physics, Brandeis University, Waltham,

More information

Techniques for inferring M at small scales

Techniques for inferring M at small scales Magnetism and small scales We ve seen that ferromagnetic materials can be very complicated even in bulk specimens (e.g. crystallographic anisotropies, shape anisotropies, local field effects, domains).

More information

Introduction to Quantum Computing

Introduction to Quantum Computing Introduction to Quantum Computing Part II Emma Strubell http://cs.umaine.edu/~ema/quantum_tutorial.pdf April 13, 2011 Overview Outline Grover s Algorithm Quantum search A worked example Simon s algorithm

More information

Quantum Information Science (QIS)

Quantum Information Science (QIS) Quantum Information Science (QIS) combination of three different fields: Quantum Physics QIS Computer Science Information Theory Lecture 1 - Outline 1. Quantum Mechanics 2. Computer Science History 3.

More information

First, we need a rapid look at the fundamental structure of superfluid 3 He. and then see how similar it is to the structure of the Universe.

First, we need a rapid look at the fundamental structure of superfluid 3 He. and then see how similar it is to the structure of the Universe. Outline of my talk: First, we need a rapid look at the fundamental structure of superfluid 3 He and then see how similar it is to the structure of the Universe. Then we will look at our latest ideas on

More information

Interstitial Mn in (Ga,Mn)As: Hybridization with Conduction Band and Electron Mediated Exchange Coupling

Interstitial Mn in (Ga,Mn)As: Hybridization with Conduction Band and Electron Mediated Exchange Coupling Vol. 112 (2007) ACTA PHYSICA POLONICA A No. 2 Proceedings of the XXXVI International School of Semiconducting Compounds, Jaszowiec 2007 Interstitial Mn in (Ga,Mn)As: Hybridization with Conduction Band

More information

Ferromagnetism and Electronic Transport. Ordinary magnetoresistance (OMR)

Ferromagnetism and Electronic Transport. Ordinary magnetoresistance (OMR) Ferromagnetism and Electronic Transport There are a number of effects that couple magnetization to electrical resistance. These include: Ordinary magnetoresistance (OMR) Anisotropic magnetoresistance (AMR)

More information