1530 Dzurak.Pdf

Total Page:16

File Type:pdf, Size:1020Kb

1530 Dzurak.Pdf Spin-based Quantum Computing in Silicon Andrew Dzurak UNSW - Australia [email protected] Australian National US-Australia Enabling Technologies Exchange Meeting Fabrication Facility Arlington, VA, 13 May 2015 Quantum Information Science Data Security Decryption National Security Financial Services National Security e-Commerce Intelligence Integrated Circuits Killer Apps ? Extending Moore’s Law High Performance Computing Database Searching Bioinformatics Modeling & Design Future Vision for Spin-based QIP Co-Workers & Sponsors UNSW - Australia David Jamieson, Jeff McCallum, Michael Fogarty Lloyd Hollenberg U. Melbourne Wister Huang Steve Flammia, Stephen Bartlett Jason Hwang University of Sydney Yuxin Sun Jarryd Pla, John Morton UCL, UK Ruichen Zhao Jason Cheng, Charles Smith Dr Fay Hudson Cambridge, UK Dr Alessandro Rossi Malcolm Carroll Sandia National Lab Dr Menno Veldhorst Dr Henry Yang Gerhard Klimeck, Rajib Rahman Purdue Dr Juan-Pablo Dehollain Charles Tahan, Rusko Ruskov LPS, USA Dr Fahd Mohiyaddin Kohei Itoh Keio University, Japan Dr Juha Muhonen Mikko Möttönen Aalto, Finland Dr Arne Laucht A/Prof Andrea Morello Floris Zwanenburg Twente, Netherlands Spin Qubits in Semiconductors Si:P Donors: Electron & Nuclear Spin Qubits in 28Si J. Muhonen et al., Nature Nanotechnol. 9, 986 (2014) SiMOS Quantum Dot: Electron Spin Qubit in 28Si M. Veldhorst et al., Nature Nanotechnol. 9, 981 (2014) Spin Qubits in Semiconductors Spin Qubits in Silicon • Long Coherence Times in Silicon at 1K: Nuclear – mins Electron – ms-s • Scalable • Industry “Compatible” B=2T Intel 300 mm Si Wafer 22nm Gate Length Single Atom Nanotechnologies: Top-Down & Bottom-Up Jamieson, Yang, Hopf, O'Brien, Schofield, Hearne, Pakes, Prawer, Simmons, Clark, ASD, Mitic, Gauja, Andresen, Curson, Kane, McAlpine, Hudson, ASD and Clark, Hawley and Brown, Appl. Phys. Lett. 86, Phys.Rev. B 64, 202101 (2005). R161401 (2001) 1 nm Progress in Atomically Precise STM-fabricated Devices Nano Letters Nature Nanotechnology Nature Materials 13, 605 (2014) 14, 1830 (2014) 9, 430 (2014) 40 Simmons Group 0 ) pA 0 150 ( UNSW SET I 40 0 0 150 Time (ms) Nature Communications 4, 2017 (2013) Nature Nature Nanotechnology Science Nanotechnology Nano Letters 7, 242 (2012) 335 64 (2012) 5, 502 (2010) 11, 4376 (2011) Ion Implanted Qubits in Silicon Jamieson, Yang, Hopf, Hearne, Pakes, Prawer, Mitic, Gauja, Andresen, Hudson, ASD and Clark, Appl. Phys. Lett. 86, 202101 (2005). Ion-Implanted Counted Atom Devices 2 DP3 Chip Map 2 2 2 5 4 1.2 mm 2 Fabrication Pathway 2 2 mm Detector Atom Complete fabrication implantation measurement Single Atom Nanoelectronics : Top Down Nanofab UNSW U Melbourne S.J. Angus et al., Nano Letters 7, 2051 (2007) Readout Device: Si-MOS SET Charge Sensing: 100% Contrast ISET donor N-1 N N+1 Electron on P-donor ISET = 0 (Coulomb blockade) P-donor Empty ISET > 0 Vtop gate ISET Vtop gate Vplunger A. Morello et al., Phys. Rev. B 80, 081307(R) (2009) Si:P e-Spin Qubit: Single-Shot Readout A. Morello et al., Nature 467, 687 (2010) Andrea Morello et al. Phys. Rev. B 80, 081307R (2009) Hans Huebl et al., Phys. Rev B 81, 235318 (2010) Andrea Morello et al., Nature 467, 687 (2010) T1e = 6s (at 1.5T) Fidelity > 90% Qubit Gate Operations: P-Donor ESR & NMR On-chip microwave transmission line: 31P:Si J.P. Dehollain et al., Nanotechnology 24, 015202 (2013) P-Donor Electron/Nuclear Spin Levels B0 Bac = Electron Spin, S H = gBB0Sz – nB0Iz + A I S = Nuclear Spin, I Si:P e-Spin Qubit: Coherent Control via ESR Single P Donor: T2e = 206 µs Cf. Bulk: T2e = 240 µs Gordon and Bowers, PRL 1, 368 (1958) Si:P Nuclear Spin Qubit J.J. Pla et al., Nature 496, 334 (2013) Lattice Nuclear Spin Noise in natSi 28Si,30Si Lattice 29Si (~5%) o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o 31P o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o 28 T2e > 1 s in Si [A.M. Tyryshkin et al., Nature Materials 11, 143 (2011)] Ultra-Long Coherence: Avogadro Project 28Si Redefine kilogram based on lattice constant and density of 28Si 5 kg crystal Enrichment: 99.995% Dislocation free Image courtesy of Mike Thewalt, Simon Fraser University 31P Nuclear Spin - in 99.995% 28Si wafer - optical readout via electron spin (bound exciton) 13C Nuclear Spin - in 99.99% 12C diamond - optical readout via NV centre Si:P Donors: Electron & Nuclear Spin Qubits in 28Si J. Muhonen et al., Nature Nanotechnol. 9, 986 (2014) Si:P Donor Qubits: Scalability Concepts Classical CMOS circuitry Spin transport rails 1-qubit & 2-qubit Gates Spin Readout & Initialization (spincharge conversion) L. Hollenberg et al., PRB 74, 045311 (2006) Electron Transport via Quantum Dots Rossi et al., Nano Letters 14, 3405 (2014) N e 1 e 1 e N e SET Dot Dot SET I. LOAD (SPIN DOWN) II. ROTATE (ESR PULSE) III. SHUTTLE IV. READ SPIN Uncertainty < 30 ppm at f = 0.5 GHz Spin Qubits in Semiconductors Electron Spin Qubits based on Quantum Dots Coherence times in GaAs limited by nuclear spin bath: Bluhm et al., PRL (2010) & Nature Phys. (2011) * T2 = ~ 100 ns; T2 = 30 s (Hahn); T2 = 200 s (CPMG) Si Q-Dot Qubits in Si/SiGe Heterostructures * T2 = 360 ns Nature 511, 70 (2014) * T2 = 2-10 ns; T ~ 50 ps; FC = 85-94% Nature Nanotechnology 9, 666 (2014) * T2 = 1 s; T2 = 37 s S.J. Angus et al., Nano Letters 7, 2051 (2007) Readout Device for P-donor qubits: Si-MOS SET Commercial SiMOS Devices Pentium MOSFET (2005) UNSW SiMOS Devices 65nm Node ANFF @ UNSW • 3 x EBL Systems (Raith, FEI ...) • Highest Concentration in Australia • Sub-10nm Features • Silicon MOS Process Line TiAuPd Si-MOS Quantum Dot: Spin and Valley Level Spectra 100 nm Si-MOS Quantum Dot: Tuneable Valley Splitting, Ev 100 nm Si-MOS Quantum Dot Qubit in 28Si Isotopically Purified 28Si Epilayer 800 ppm residual 29Si Wafer supplied by Kohei Itoh, Keio University Silicon MOS Dots: Electron Spin Qubit in 28Si 28Si-MOS Dot: e– Spin Qubit – Coherent Control 2 2 2 f↑ = Ω / ΩR sin (ΩR τ/2) M. Veldhorst et al., Nature Nanotechnology 9, 981 (2014) 28 – Si-MOS Dot e Spin Qubit: Gate-Addressable fESR Tunabilty = 8 MHz Cf. 2.4 kHz Linewidth M. Veldhorst et al., Nature Nanotechnology 9, 981 (2014) 28 SiMOS Dot Electron Spin Qubit in Si: Randomized Benchmarking See: M. Veldhorst et al., Nature Nanotechnology 9, 981 (2014) ALL 1e 1-qubit gate fidelities > 99% Average 1e 1-qubit gate fidelity = 99.6% 1-Electron Qubit 1-Electron Qubit 3-Electron Qubit 28 Si-MOS Dots: Multi-Qubit Devices 28 Si-MOS Dots: Multi-Qubit Device Reservoir G1 G2 QC ESR G3 Drive QB QA G4 Confinement x SET Sensor AlOx Aluminium x 28Si 1 Gate 1 Qubit 28 Si-MOS Dots: Two Qubit Exchange Gate M. Veldhorst et al., arXiv:1411.5760 – submitted to Nature 28 Si-MOS Dots: Two Qubit Exchange Gate Increased Sensitivity to Electrical / Charge Noise M. Veldhorst et al., arXiv:1411.5760 – submitted to Nature 28 Si-MOS Dot Two-Qubit Gate: Two-Spin Correlations M. Veldhorst et al., arXiv:1411.5760 – submitted to Nature 28 Si-MOS Dot Qubits: Scaling Up Error Threshold for Fault-Tolerant QC with Surface Code as high as 1% Silicon-based Spin Qubits: Summary Phosphorus Donors: Kane Concept nat 2012 – 1-Qubit: Donor Electron in Si (ESR) T1 ~ secs; T2 ~ 0.2 ms; Fidelity ~ 50% 31 nat 2013 – 1-Qubit: P Nuclear Spin in Si (NMR) T1 ~ mins; T2 ~ 60 ms; Fidelity > 98% 28 * 2014 – 1-Qubit: Donor Electron in Si T1 ~ s; T2 ~ 0.5 s; T2 ~ 0.3 ms; Fidelity > 99% 31 28 * 2014 – 1-Qubit: P Nuclear Spin in Si T1 ~ hrs; T2 ~ 30 s; T2 ~ 0.3 s; Fidelity > 99.9% 2014 – 2-Qubit: Electron-Nuclear Hyperfine Coupling Entangling Gate Demonstrated Si/SiGe Quantum Dots: Singlet-Triplet; Loss-DiVincenzo; Hybrid * 2012 – 1-Qubit: 2-electron Singlet-Triplet T1 ~ s; T2 ~ 400 ns * 2014 – 1-Qubit: 1-electron Spin-Charge Hybrid T2 ~ 10 ns; Fidelity = 85% – 95% * 2014 – 1-Qubit: 1-electron ESR Control T2 ~ 30 s; T2 ~ 1 s; 2015 – 1-Qubit: 3-electron Exchange-only, all-electrical control [HRL] Si-MOS Quantum Dots: Loss-DiVincenzo 28 2012 – 1-Qubit: 1-electron ESR Control in Si T1 ~ s; T2 ~ 30 ms; Fidelity > 99% 2014 – 2-Qubit: Electron-Electron Exchange Coupling CNOT Gate Demonstrated EXTRAS Silicon Quantum Dots: Many Different Designs SOI “Nanowire” Dots Polysilicon-gated Si-MOS Si/SiGe Heterostructures H.
Recommended publications
  • Physicists Set New Records for Silicon Quantum Computing 12 October 2014
    Physicists set new records for silicon quantum computing 12 October 2014 been published simultaneously today in the journal Nature Nanotechnology. "For quantum computing to become a reality we need to operate the bits with very low error rates," says Scientia Professor Andrew Dzurak, who is Director of the Australian National Fabrication Facility at UNSW, where the devices were made. "We've now come up with two parallel pathways for building a quantum computer in silicon, each of which shows this super accuracy," adds Associate Professor Andrea Morello from UNSW's School of Electrical Engineering and Telecommunications. The UNSW teams, which are also affiliated with the ARC Centre of Excellence for Quantum Computation & Communication Technology, were first in the world to demonstrate single-atom spin qubits in silicon, reported in Nature in 2012 and 2013. Now the team led by Dzurak has discovered a way to create an "artificial atom" qubit with a device remarkably similar to the silicon transistors used in This is an artist impression of an electron wave function consumer electronics, known as MOSFETs. Post- (blue), confined in a crystal of nuclear-spin-free doctoral researcher Menno Veldhorst, lead author 28-silicon atoms (black), controlled by a nanofabricated on the paper reporting the artificial atom qubit, metal gate (silver). The spin of the electron encodes a says, "It is really amazing that we can make such long-lived, high fidelity quantum bit. Credit: Dr Stephanie an accurate qubit using pretty much the same Simmons, UNSW Australia. devices as we have in our laptops and phones". Meanwhile, Morello's team has been pushing the "natural" phosphorus atom qubit to the extremes of Two research teams working in the same performance.
    [Show full text]
  • Quantifying the Quantum Gate Fidelity of Single-Atom Spin Qubits in Silicon
    Quantifying the quantum gate fidelity of single-atom spin qubits in silicon by randomized benchmarking J T Muhonen,1, ∗ A Laucht,1 S Simmons,1 J P Dehollain,1 R Kalra,1 F E Hudson,1 S Freer,1 K M Itoh,2 D N Jamieson,3 J C McCallum,3 A S Dzurak,1 and A Morello1, y 1Centre for Quantum Computation and Communication Technology, School of Electrical Engineering and Telecommunications, UNSW Australia, Sydney, New South Wales 2052, Australia 2School of Fundamental Science and Technology, Keio University, 3-14-1 Hiyoshi, 223-8522, Japan 3Centre for Quantum Computation and Communication Technology, School of Physics, University of Melbourne, Melbourne, Victoria 3010, Australia Building upon the demonstration of coherent control and single-shot readout of the electron and nuclear spins of individual 31P atoms in silicon, we present here a systematic experimental estimate of quantum gate fidelities using randomized benchmarking of 1-qubit gates in the Clifford group. We apply this analysis to the electron and the ionized 31P nucleus of a single P donor in isotopically purified 28Si. We find average gate fidelities of 99.95% for the electron, and 99.99% for the nuclear spin. These values are above certain error correction thresholds, and demonstrate the potential of donor-based quantum computing in silicon. By studying the influence of the shape and power of the control pulses, we find evidence that the present limitation to the gate fidelity is mostly related to the external hardware, and not the intrinsic behaviour of the qubit. I. INTRODUCTION number of qubits since the number of measurements re- quired to completely map a multi-qubit process increases The discovery of quantum error correction is among exponentially with the number of qubits involved.
    [Show full text]
  • Nuclear Spin, I |
    Sensing & Controlling Single Spins in Silicon Andrew Dzurak University of New South Wales [email protected] ANFF – AFOSR Program Review Washington D.C., 30 April - 4 May 2012 ANFF @ UNSW • 3 x EBL Systems (Raith, FEI ...) • Highest Concentration in Australia • Sub-10nm Features • Silicon MOS Process Line TiAuPd ANFF-NSW: Key Research Areas Silicon Nanoelectronics Silicon Photovoltaics Biomedical Devices (eg. Bionics, Si Biosensors) Telecomms (Nano-photonics) Quantum Information Technologies www.anff.org.au Conventional computing … … must confront some serious issues Cost of Fab $60B $50B $40B 360B $20B ? $10B $0B 1992 1995 1998 2001 2004 2007 2010 Year Quantum computing … could well be the solution Conventional Quantum |1> Computer Computer 0 , 1 |0 >, |1 > |0> bits qubits Quantum state of a two-level system |0> |1> Quantum Information Science Data Security Decryption National Security National Security Financial Services Intelligence e-Commerce Killer? Apps High Performance Semiconductors Computing Database Searching Integrated Circuits Bioinformatics Sensors Modeling & Design Nano-structuring Code Decryption • Public key encryption (RSA-129) is (almost) uncrackable. Basis of public secure comms today • A full-scale (few hundred qubits) quantum computer could crack RSA-129 in seconds (Peter Shor – 1994) • Obvious applications in national and global security High Performance Computing • Simulation (modeling) & database searching • Existing supercomputers now under strain • Application areas: Nuclear weapons simulation Rapid data
    [Show full text]
  • High-Fidelity Readout and Control of a Nuclear Spin Qubit in Silicon
    1 High-fidelity readout and control of a nuclear spin qubit in silicon Jarryd J. Pla1, Kuan Y. Tan1†, Juan P. Dehollain1, Wee H. Lim1†, John J. L. Morton2, Floris A. Zwanenburg1†, David N. Jamieson3, Andrew S. Dzurak1, Andrea Morello1 1Centre for Quantum Computation and Communication Technology, School of Electrical Engineering & Telecommunications, University of New South Wales, Sydney, New South Wales 2052, Australia. 2London Centre for Nanotechnology, University College London, London WC1H 0AH, UK. 3Centre for Quantum Computation and Communication Technology, School of Physics, University of Melbourne, Melbourne, Victoria 3010, Australia. †Present addresses: Department of Applied Physics/COMP, Aalto University, P.O. Box 13500, FI-00076 AALTO, Finland (K.Y.T.); Asia Pacific University of Technology and Innovation, Technology Park Malaysia, Bukit Jalil, 57000 Kuala Lumpur, Malaysia (W.H.L.); NanoElectronics Group, MESA+ Institute for Nanotechnology, University of Twente, Enschede, The Netherlands (F.A.Z.). A single nuclear spin holds the promise of being a long-lived quantum bit or quantum memory, with the high fidelities required for fault-tolerant quantum computing. We show here that such promise could be fulfilled by a single phosphorus (31P) nuclear spin in a silicon nanostructure. By integrating single-shot readout of the electron spin with on-chip electron spin resonance, we demonstrate the quantum non-demolition, electrical single-shot readout of the nuclear spin, with readout fidelity better than 99.8% - the highest for any solid-state qubit. The single nuclear spin is then operated as a qubit by applying coherent radiofrequency (RF) pulses. For an ionized 31P donor we find a nuclear spin coherence time of 60 ms and a 1-qubit gate control fidelity exceeding 98%.
    [Show full text]
  • FAHD A. MOHIYADDIN Quantum Computing Institute
    FAHD A. MOHIYADDIN Quantum Computing Institute, Computational Sciences & Engineering Division, Oak Ridge National Laboratory, Tennessee, USA Email : [email protected] Phone: +1-865-237-7242 CAREER PROFILE . Postdoctoral research associate focused at designing quantum devices with Technology CAD and atomistic techniques. Extensive software skills developed with semiconductor modeling, programming microcontrollers and implementing image processing algorithms. Proven ability to adapt and work on diverse projects in academia and industry. Aim to work in a challenging, R&D based dynamic environment with an organization that values hard work, integrity and creativity. EDUCATION Doctor of Philosophy (Electrical Engineering) Mar 2011 – Nov 2014 University of New South Wales (UNSW), Australia Thesis Title: Designing a large scale quantum computer with classical & quantum simulations. Synopsis of Research: My research focused on the designing novel devices, in a team that performs world leading research, to develop a fully scalable quantum computer in silicon. Extensive modeling of a wide range of experimental devices was carried out, emphasizing their operation at the nanoscale quantum regime. They include single donor qubits, quantum dots, exchange coupled donor-pairs and many-body spin systems. Device parameters – such as defects, capacitances, electric fields & band-structure – were completely described and perfectly matched to fabricated devices, including the world’s first quantum bit in silicon. Based on close agreement with experiments, required device topologies and operation methods were proposed, for realizing the next generation of solid state quantum computer devices. Research resulted in 6 journal articles & 2 conference papers. Presented 3 talks and 9 posters at international conferences, and won 2 best poster awards. Collaborated with leading groups at Purdue University, University of Melbourne & University of Maryland.
    [Show full text]
  • Local and Distributed Quantum Computation
    Local and Distributed Quantum Computation Rodney Van Meter and Simon J. Devitt May 24, 2016 Abstract Experimental groups are now fabricating quantum processors powerful enough to execute small instances of quantum algorithms and definitively demonstrate quantum error correction that extends the lifetime of quantum data, adding ur- gency to architectural investigations. Although other options continue to be ex- plored, effort is coalescing around topological coding models as the most prac- tical implementation option for error correction on realizable microarchitectures. Scalability concerns have also motivated architects to propose distributed memory multicomputer architectures, with experimental efforts demonstrating some of the basic building blocks to make such designs possible. We compile the latest re- sults from a variety of different systems aiming at the construction of a scalable quantum computer. arXiv:1605.06951v1 [quant-ph] 23 May 2016 1 1 Introduction Quantum computers and networks look like increasingly inevitable extensions to our already astonishing classical computing and communication capabilities [1, 2]. How do they work, and once built, what capabilities will they bring? Quantum computation and communication can be understood through seven key con- cepts (see sidebar). Each concept is simple, but collectively they imply that our clas- sical notion of computation is incomplete, and that quantum effects can be used to efficiently solve some previously intractable problems. In the 1980s and 90s, a handful of algorithms were developed and the foundations of quantum computational complexity were laid, but the full range of capabilities and the process of creating new algorithms were poorly understood [1, 3, 4, 5, 6]. Over the last fifteen years, a deeper understanding of this process has developed, and the num- ber of proposed algorithms has exploded 1.
    [Show full text]
  • Fast Noise-Resistant Control of Donor Nuclear Spin Qubits in Silicon
    Fast noise-resistant control of donor nuclear spin qubits in silicon James Simon1;2, F. A. Calderon-Vargas2, Edwin Barnes2, and Sophia E. Economou2∗ 1Department of Physics, University of California, Berkeley, California 94720, USA 2Department of Physics, Virginia Tech, Blacksburg, Virginia 24061, USA A high degree of controllability and long coherence time make the nuclear spin of a phosphorus donor in isotopically purified silicon a promising candidate for a quantum bit. However, long- distance two-qubit coupling and fast, robust gates remain outstanding challenges for these systems. Here, following recent proposals for long-distance coupling via dipole-dipole interactions, we present a simple method to implement fast, high-fidelity arbitrary single- and two-qubit gates in the absence of charge noise. Moreover, we provide a method to make the single-qubit gates robust to moderate levels of charge noise to well within an error bound of 10−3. I. INTRODUCTION on clock transitions. Our approach is based on using optimally designed control pulse waveforms and energy Nuclear spins in the solid state present unparalleled transition modulation. Accordingly, we derive a time- advantages as a platform for quantum computing due independent analytical approximation for the system's to their long coherence times [1, 2] and high degree of Hamiltonian, explain how to rapidly implement arbi- controllability [3{5]. In particular, the nuclear spin of a trary, noise-resistant single-qubit gates with fidelities ex- phosphorus donor in silicon is a promising candidate for a ceeding 99.9% even in the presence of significant charge quantum bit [6, 7] owing to its coherent control [8{10] and noise, and provide a method to use the dipole-dipole in- minute-long coherence time [2].
    [Show full text]
  • Understanding and Suppressing Dephasing Noise in Semiconductor Qubits
    Understanding and suppressing dephasing noise in semiconductor qubits Félix Beaudoin Department of Physics McGill University, Montréal July 2016 A thesis submitted to McGill University in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Physics ©2016 – Félix Beaudoin all rights reserved. Thesis advisor: Professor William A. Coish Félix Beaudoin Understanding and suppressing dephasing noise in semiconductor qubits Abstract Magnetic-field gradients and microwave resonators are promising tools to realize a scalable quantum-computing architecture with spin qubits. Indeed, magnetic-field gradients allow fast se- lective manipulation of distinct qubits through electric-dipole spin resonance and coherent coupling of spin qubits to a microwave resonator. On the other hand, microwave resonators are useful for quantum state transfer and two-qubit gates between distant qubits, and qubit readout. In this thesis, we take a theoretical approach to understand and suppress pure-dephasing mecha- nisms relevant to spin qubits in the presence of the above-mentioned devices, recently introduced to improve scalability. We first focus on dephasing of a spin qubit in the presence of a magnetic-field gradient. We predict that hyperfine coupling of the qubit to an environment of nuclear spins pre- cessing under the influence of a magnetic-field gradient leads to a new qubit dephasing mechanism. We show that in realistic conditions, this new mechanism can dominate over the usual dephasing processes occurring in the absence of a gradient. This result is relevant to spin qubits in GaAs or silicon quantum dots, or at single phosphorus donors in silicon. A magnetic-field gradient may also expose spin qubits to charge noise.
    [Show full text]
  • Optical Characterization of the Si:Se Spin-Photon Interface
    Optical characterization of the Si:Se+ spin-photon interface by Adam DeAbreu B.Sc., Simon Fraser University, 2016 Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Department of Physics Faculty of Science c Adam DeAbreu 2018 SIMON FRASER UNIVERSITY Summer 2018 Copyright in this work rests with the author. Please ensure that any reproduction or re-use is done in accordance with the relevant national copyright legislation. Approval Name: Adam DeAbreu Degree: Master of Science (Physics) Title: Optical characterization of the Si:Se+ spin-photon interface Examining Committee: Chair: Nancy Forde Professor Stephanie Simmons Senior Supervisor Associate Professor Michael Thewalt Supervisor Professor Simon Watkins Internal Examiner Professor Date Defended: August 27, 2018 ii Abstract The combination of both matter qubits and photonic qubits presents a very promising method for generating entanglement between qubits in order to scale up both quantum computing and quantum communication platforms. Hosting both qubits in silicon would be a favourable approach as silicon has not only the most mature microelectronics industry but also the most mature photonics industry. Singly ionized selenium donors (Si:Se+) have recently been identified as a possible candidate. Si:Se+ possess the excellent coherence life- times of conventional donor spin qubits in silicon but additionally has photonic access to the spin states at a convenient wavelength, 2.9 µm. The spin-photon interface of Si:Se+ has the potential to be the basis for an integrated, all silicon, quantum computer. For this work we made custom samples with the specific purpose of measuring the crucial optical properties that determine the viability of the Si:Se+ spin-photon interface as a basis for a quantum architecture.
    [Show full text]
  • Assessment of a Silicon Quantum Dot Spin Qubit Environment Via Noise Spectroscopy
    PHYSICAL REVIEW APPLIED 10, 044017 (2018) Assessment of a Silicon Quantum Dot Spin Qubit Environment via Noise Spectroscopy K. W. Chan,1,* W. Huang,1 C. H. Yang,1 J. C. C. Hwang,1 B. Hensen,1 T. Tanttu,1 F. E. Hudson,1 K. M. Itoh,2 A. Laucht,1 A. Morello,1 and A. S. Dzurak1,† 1 Centre for Quantum Computation and Communication Technology, School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, New South Wales 2052, Australia 2 School of Fundamental Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan (Received 24 May 2018; revised manuscript received 6 July 2018; published 5 October 2018) Preserving coherence long enough to perform meaningful calculations is one of the major challenges on the pathway to large-scale quantum-computer implementations. Noise coupled in from the environment is the main factor contributing to decoherence but can be mitigated via engineering design and control solutions. However, this is possible only after acquisition of a thorough understanding of the dominant noise sources and their spectrum. In the work reported here, we use a silicon quantum dot spin qubit as a metrological device to study the noise environment experienced by the qubit. We compare the sensitivity of this qubit to electrical noise with that of an implanted silicon-donor qubit in the same environment and measurement setup. Our results show that, as expected, a quantum dot spin qubit is more sensitive to electrical noise than a donor spin qubit due to the larger Stark shift, and the noise-spectroscopy data show pronounced charge-noise contributions at intermediate frequencies (2–20 kHz).
    [Show full text]
  • Arxiv:1904.08260V2 [Quant-Ph] 28 Jun 2019 Ment Via Electron Shuttling[3]
    A silicon quantum-dot-coupled nuclear spin qubit 1, 1, 1 1 1 1 Bas Hensen, ∗ Wister Wei Huang, ∗ Chih-Hwan Yang, Kok Wai Chan, Jun Yoneda1, Tuomo Tanttu, 1 1 2 3 1 1, Fay E. Hudson, Arne Laucht, Kohei M. Itoh, Thaddeus D. Ladd, Andrea Morello, and Andrew S. Dzurak † 1Centre for Quantum Computation and Communication Technology, School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, New South Wales 2052, Australia 2School of Fundamental Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan 3HRL Laboratories, LLC, 3011 Malibu Canyon Rd., Malibu, CA, 90265, USA Single nuclear spins in the solid state have tion is less confined and typically overlaps with many long been envisaged as a platform for quan- more nuclear spins, leading to undesired effects such tum computing[1–3], due to their long coherence as loss of coherence and spin relaxation[22, 23]. In times[4–6] and excellent controllability[7]. Mea- silicon metal–oxide–semiconductor quantum dots, how- surements can be performed via localised elec- ever, the strong confinement of the electrons against trons, for example those in single atom dopants[8, the Si SiO2 interface, together with the possibility of 9] or crystal defects[10–12]. However, estab- small gate− dimensions, result in a relatively small elec- lishing long-range interactions between multiple tron wavefunction[24], see Fig. 1a,b. This leads to strong dopants or defects is challenging[13, 14]. Con- hyperfine interactions, and when using isotopically en- versely, in lithographically-defined quantum dots, riched 28Si base material, the number of interacting 29Si tuneable interdot electron tunnelling allows di- nuclei may be only a few.
    [Show full text]
  • Quantum Computing with Single Atoms in Silicon
    Quantum Computing with Single Atoms in Silicon Joint Electrical Institutions Sydney - Engineers Australia, IEEE, IET Public Lecture Date: Thursday, 9 May 2013 Time: 5:30 pm for 6:00 pm start Venue: Engineers Australia Auditorium, Ground Floor, 8 Thomas Street, Chatswood Speaker: Scientia Professor Andrew Dzurak Director, Australian National Fabrication Facility (ANFF-NSW) School of Electrical Engineering & Telecommunications The University of New South Wales Contact: Peter C B Henderson [email protected] RSVP: https://engineersaustralia.wufoo.com/forms/joint -electrical-seminar-9-may-2013/ Quantum information technologies promise to revolutionize the way information is transmitted and processed. These transformational technologies require devices that enable the sensing and manipulation of individual electrons and photons. Spin-based quantum bits (or qubits) in silicon are excellent candidates for scalable quantum information processing due to the very long spin coherence times that are accessible in silicon and because of the enormous investment to date in silicon MOS technology [1]. This talk will discuss spin qubits based on electrons localized on single phosphorus donor atoms in silicon [2, 3] and also very recent experiments in which quantum information can be encoded on the nuclear spin of individual phosphorus atoms [4]. In the latter case, the qubit read fidelity exceeds 99.8% and the write fidelity exceeds 98%, approaching the accuracy values necessary for large-scale fault-tolerant quantum computing. [1] D.D. Awschalom et al., Quantum Spintronics, Science 339, 1174 (2013). [2] A. Morello et al., Single-shot readout of an electron spin in silicon, Nature 467, 687 (2010). [3] J.J. Pla et al., A single-atom electron spin qubit in silicon, Nature 489, 541 (2012).
    [Show full text]