Similar documents
Experimental Quantum Computing: A technology overview

Shallow Donors in Silicon as Electron and Nuclear Spin Qubits Johan van Tol National High Magnetic Field Lab Florida State University

Quantum Computation with Neutral Atoms Lectures 14-15

Superconducting Qubits Lecture 4

Circuit QED with electrons on helium:

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

Quantum computing hardware

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

Electrical Control of Single Spins in Semiconductor Quantum Dots Jason Petta Physics Department, Princeton University

Solid-State Spin Quantum Computers

Квантовые цепи и кубиты

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

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

Solid-state quantum communications and quantum computation based on single quantum-dot spin in optical microcavities

Short Course in Quantum Information Lecture 8 Physical Implementations

Coherence and optical electron spin rotation in a quantum dot. Sophia Economou NRL. L. J. Sham, UCSD R-B Liu, CUHK Duncan Steel + students, U Michigan

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

CIRCUIT QUANTUM ELECTRODYNAMICS WITH ELECTRONS ON HELIUM

Magnetic semiconductors. (Dilute) Magnetic semiconductors

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

Quantum control of spin qubits in silicon

Supplementary Information for

Optically-controlled controlled quantum dot spins for quantum computers

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

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

Photonic devices for quantum information processing:

Quantum computation and quantum information

Modern Physics for Scientists and Engineers International Edition, 4th Edition

Wave function engineering in quantum dot-ring structures

Deterministic Coherent Writing and Control of the Dark Exciton Spin using Short Single Optical Pulses

Lecture 2: Double quantum dots

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

Magnetic Resonance in Quantum Information

Quantum Photonic Integrated Circuits

Nuclear spin spectroscopy for semiconductor hetero and nano structures

Lecture2: Quantum Decoherence and Maxwell Angels L. J. Sham, University of California San Diego

QUANTUM CRYPTOGRAPHY QUANTUM COMPUTING. Philippe Grangier, Institut d'optique, Orsay. from basic principles to practical realizations.

THE FIRST JOINT COQUS AND IMPRS-QST VIENNA ON COMPLEX QUANTUM SYSTEMS TU WIEN, ATOMINSTITUT, VIENNA 18TH - 22ND SEPTEMBER 2017

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

Part I. Nanostructure design and structural properties of epitaxially grown quantum dots and nanowires

!. 2) 3. '45 ( !"#!$%!&&' 9,.. : Cavity QED . / 3., /*. Ion trap 6..,%, Magnetic resonance Superconductor

Quantum computation with trapped ions

Some Introductory Notes on Quantum Computing

Supported by NSF and ARL

Building Blocks for Quantum Computing Part V Operation of the Trapped Ion Quantum Computer

Monolayer Semiconductors

Cavity QED with quantum dots in microcavities

Quantum Computing. Separating the 'hope' from the 'hype' Suzanne Gildert (D-Wave Systems, Inc) 4th September :00am PST, Teleplace

Ultrafast optical rotations of electron spins in quantum dots. St. Petersburg, Russia

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

Splitting of a Cooper pair by a pair of Majorana bound states

From Last Time Important new Quantum Mechanical Concepts. Atoms and Molecules. Today. Symmetry. Simple molecules.

1.0 Introduction to Quantum Systems for Information Technology 1.1 Motivation

Quantum Information Processing with Semiconductor Quantum Dots

Spintronics. Seminar report SUBMITTED TO: SUBMITTED BY:

Differential Phase Shift Quantum Key Distribution and Beyond

Electron spins in nonmagnetic semiconductors

Supercondcting Qubits

Ion crystallisation. computing

Quantum Information Processing with Semiconductor Quantum Dots. slides courtesy of Lieven Vandersypen, TU Delft

SUPPLEMENTARY INFORMATION

Spins and spin-orbit coupling in semiconductors, metals, and nanostructures

Influence of hyperfine interaction on optical orientation in self-assembled InAs/GaAs quantum dots

All-Silicon Quantum Computer Phys. Rev. Lett. Vol. 89, (2002) Kohei M. Itoh. Dept. Applied Physics, Keio University

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

Single Semiconductor Nanostructures for Quantum Photonics Applications: A solid-state cavity-qed system with semiconductor quantum dots

Investigation on Mode Splitting and Degeneracy in the L3 Photonic Crystal Nanocavity via Unsymmetrical Displacement of Air-Holes

Quantum Computing: From Science to Application Dr. Andreas Fuhrer Quantum technology, IBM Research - Zurich

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

P 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

Electronic and Optoelectronic Properties of Semiconductor Structures

Electron spin qubits in P donors in Silicon

Schematic for resistivity measurement

Quantum Computation with Neutral Atoms

Semiconductor Detectors

Final Report. Superconducting Qubits for Quantum Computation Contract MDA C-A821/0000

Practical realization of Quantum Computation

Quantum Information Science (QIS)

THz experiments at the UCSB FELs and the THz Science and Technology Network.

Distributing Quantum Information with Microwave Resonators in Circuit QED

Requirements for scaleable QIP

Single Photon Generation & Application

The Nobel Prize in Physics 2012

FREQUENTLY ASKED QUESTIONS February 21, 2017

Quantum Information Processing and Nuclear Spins in Nanostructures

Challenges for Materials to Support Emerging Research Devices

Quantum Computation with Spins and Excitons in Semiconductor Quantum Dots (Part III)

Introduction to Quantum Computing

Lecture 8, April 12, 2017

Nano devices for single photon source and qubit

Developing Quantum Logic Gates: Spin-Resonance-Transistors

EXTRINSIC SEMICONDUCTOR

arxiv: v3 [quant-ph] 1 May 2017

Quantum Computation The Ultimate Frontier

Quantum Information Processing

Quantum Memory with Atomic Ensembles

Building Blocks for Quantum Computing Part IV. Design and Construction of the Trapped Ion Quantum Computer (TIQC)

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

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Physics Department Statistical Physics I Spring Term 2013

Multiple Exciton Generation in Quantum Dots. James Rogers Materials 265 Professor Ram Seshadri

Transcription:

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

QC implementation proposals Bulk spin Resonance (NMR) Optical Atoms Solid state Linear optics Cavity QED Trapped ions Optical lattices Electrons on He Semiconductors Superconductors Nuclear spin qubits Electron spin qubits Orbital state qubits Flux qubits Charge qubits

Semiconductor qubits: time scales Nuclear spin states Decoherence Decoherence 1 sec 10-3 sec Electron spin states Orbital states Control Control Decoherence Control 10-6 sec 10-9 sec 10-12 sec 10-15 sec Fast microprocessor The figure of merit is the ratio of coherence time and control time. But: if these times are too fast, good control is difficult.

Charge qubits and spin qubits The qubits levels can be formed by either the energy levels of an electron in a potential well (such as a quantum dot or an impurity ion) or by the spin states of the electron (or the nucleus). The former are examples of charge qubits. The charge qubits have high energy splitting, and can be manipulated by applying potentials to control electrodes. However, charge qubits states are readily affected by various sources of noise (thermal, electronic, acoustic) present in the semiconductor material. The spin qubits are better isolated from the environment. Spin degree of freedom couples to higher order fluctuations of electric and magnetic fields. Being a plus, this, unfortunately, makes it harder to control spins.

Examples of charge and spin qubits A single electron-hole pair (exciton) in a quantum dot can serve as a charge qubits. Presence (absence) of an exciton corresponds to qubit state 1> ( 0>). Excitons can be created optically by ultrafast laser pulses; controlling the pulse parameters allows creating excitonic superposition states. By doping a quantum dot with a single electron, a spin qubit can be realized based on the spin states of the single electron. Operations on the spin qubit are performed by creating a trion (a charged exciton made of the original electron and an exciton). Duncan Steel (U. Mich.)

Scalable physical system Image courtesy of Charlie Marcus with well-characterized qubits The qubits are microfabricated devices, just like the superconducting qubits are. Scalability seems straightforward. After all, we are dealing with semiconductor chips! Yoshi Yamamoto, Stanford But, as with any fabricated qubits, not two qubits are alike. Each qubit would have to be individually characterized.

ability to initialize qubit state Qubit initialization relies on cooling the qubits down well below the energy splitting between the ground and the excited states. As with the JJ qubits, the Boltzmann distribution gives high probability of occupying the ground state if the temperature is low enough. For the spin-based qubits, large magnetic fields (several Tesla) are applied to produce the energy level splitting and to initialize the qubits. As the energy gaps are generally speaking larger than in the JJ qubits, higher operation temperatures are possible, as high as liquid helium at 4.2 K.

(relative) long coherence times Spin qubits have significantly longer relaxation times than do charge qubits. For example, nuclear spin relaxation times for P donors in Si are measured in hours at LHe temperatures. Relaxation times, however, are not necessarily the same as coherence times. Example: hyperfine state qubits in atoms. There, relaxation times are of the order eternity. The actual achieved and measured coherence times are of the order of minutes... Duncan Steel (U. Mich.)

Image courtesy of Charlie Marcus universal set of quantum gates Single qubit and multiple qubit operations depend on the actual system: - In optically-excited quantum dots, operations are performed by ultrafast (ps and fs) laser pulses. - Phosphor in Silicon is driven by electrodes in the immediate vicinity of the qubit Duncan Steel (U. Mich.)

qubit-specific measurement Single-electron transistors (for P in Si, etc.) Optical spectroscopy (for optically excited QDs) Nanomechaical devices??? For many systems (like spins in Si) measurement remains a challenge.

Semiconsuctor qubits - pros and cons Straightforward fabrication * Easy scaling LHe operation (not a dilution fridge) Computers are made of silicon, darn it! Coupling to flying qubits seems possible Noise in the environment seems unavoidable decoherence may be a roadblock * Fabrication very demanding (purity, precision, etc.) Measurement??? Gates???