Quantum Simulation with Periodically Driven Superconducting Circuits By
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Simulating Quantum Field Theory with a Quantum Computer
Simulating quantum field theory with a quantum computer John Preskill Lattice 2018 28 July 2018 This talk has two parts (1) Near-term prospects for quantum computing. (2) Opportunities in quantum simulation of quantum field theory. Exascale digital computers will advance our knowledge of QCD, but some challenges will remain, especially concerning real-time evolution and properties of nuclear matter and quark-gluon plasma at nonzero temperature and chemical potential. Digital computers may never be able to address these (and other) problems; quantum computers will solve them eventually, though I’m not sure when. The physics payoff may still be far away, but today’s research can hasten the arrival of a new era in which quantum simulation fuels progress in fundamental physics. Frontiers of Physics short distance long distance complexity Higgs boson Large scale structure “More is different” Neutrino masses Cosmic microwave Many-body entanglement background Supersymmetry Phases of quantum Dark matter matter Quantum gravity Dark energy Quantum computing String theory Gravitational waves Quantum spacetime particle collision molecular chemistry entangled electrons A quantum computer can simulate efficiently any physical process that occurs in Nature. (Maybe. We don’t actually know for sure.) superconductor black hole early universe Two fundamental ideas (1) Quantum complexity Why we think quantum computing is powerful. (2) Quantum error correction Why we think quantum computing is scalable. A complete description of a typical quantum state of just 300 qubits requires more bits than the number of atoms in the visible universe. Why we think quantum computing is powerful We know examples of problems that can be solved efficiently by a quantum computer, where we believe the problems are hard for classical computers. -
Painstakingly-Edited Typeset Lecture Notes
Physics 239: Topology from Physics Winter 2021 Lecturer: McGreevy These lecture notes live here. Please email corrections and questions to mcgreevy at physics dot ucsd dot edu. Last updated: May 26, 2021, 14:36:17 1 Contents 0.1 Introductory remarks............................3 0.2 Conventions.................................8 0.3 Sources....................................9 1 The toric code and homology 10 1.1 Cell complexes and homology....................... 21 1.2 p-form ZN toric code............................ 23 1.3 Some examples............................... 26 1.4 Higgsing, change of coefficients, exact sequences............. 32 1.5 Independence of cellulation......................... 36 1.6 Gapped boundaries and relative homology................ 39 1.7 Duality.................................... 42 2 Supersymmetric quantum mechanics and cohomology, index theory, Morse theory 49 2.1 Supersymmetric quantum mechanics................... 49 2.2 Differential forms consolidation...................... 61 2.3 Supersymmetric QM and Morse theory.................. 66 2.4 Global information from local information................ 74 2.5 Homology and cohomology......................... 77 2.6 Cech cohomology.............................. 80 2.7 Local reconstructability of quantum states................ 86 3 Quantum Double Model and Homotopy 89 3.1 Notions of `same'.............................. 89 3.2 Homotopy equivalence and cohomology.................. 90 3.3 Homotopy equivalence and homology................... 91 3.4 Morse theory and homotopy -
Superconducting Quantum Simulator for Topological Order and the Toric Code
Superconducting Quantum Simulator for Topological Order and the Toric Code Mahdi Sameti,1 Anton Potoˇcnik,2 Dan E. Browne,3 Andreas Wallraff,2 and Michael J. Hartmann1 1Institute of Photonics and Quantum Sciences, Heriot-Watt University Edinburgh EH14 4AS, United Kingdom 2Department of Physics, ETH Z¨urich,CH-8093 Z¨urich,Switzerland 3Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, United Kingdom (Dated: March 20, 2017) Topological order is now being established as a central criterion for characterizing and classifying ground states of condensed matter systems and complements categorizations based on symmetries. Fractional quantum Hall systems and quantum spin liquids are receiving substantial interest because of their intriguing quantum correlations, their exotic excitations and prospects for protecting stored quantum information against errors. Here we show that the Hamiltonian of the central model of this class of systems, the Toric Code, can be directly implemented as an analog quantum simulator in lattices of superconducting circuits. The four-body interactions, which lie at its heart, are in our concept realized via Superconducting Quantum Interference Devices (SQUIDs) that are driven by a suitably oscillating flux bias. All physical qubits and coupling SQUIDs can be individually controlled with high precision. Topologically ordered states can be prepared via an adiabatic ramp of the stabilizer interactions. Strings of qubit operators, including the stabilizers and correlations along non-contractible loops, can be read out via a capacitive coupling to read-out resonators. Moreover, the available single qubit operations allow to create and propagate elementary excitations of the Toric Code and to verify their fractional statistics. -
A Scanning Transmon Qubit for Strong Coupling Circuit Quantum Electrodynamics
ARTICLE Received 8 Mar 2013 | Accepted 10 May 2013 | Published 7 Jun 2013 DOI: 10.1038/ncomms2991 A scanning transmon qubit for strong coupling circuit quantum electrodynamics W. E. Shanks1, D. L. Underwood1 & A. A. Houck1 Like a quantum computer designed for a particular class of problems, a quantum simulator enables quantitative modelling of quantum systems that is computationally intractable with a classical computer. Superconducting circuits have recently been investigated as an alternative system in which microwave photons confined to a lattice of coupled resonators act as the particles under study, with qubits coupled to the resonators producing effective photon–photon interactions. Such a system promises insight into the non-equilibrium physics of interacting bosons, but new tools are needed to understand this complex behaviour. Here we demonstrate the operation of a scanning transmon qubit and propose its use as a local probe of photon number within a superconducting resonator lattice. We map the coupling strength of the qubit to a resonator on a separate chip and show that the system reaches the strong coupling regime over a wide scanning area. 1 Department of Electrical Engineering, Princeton University, Olden Street, Princeton 08550, New Jersey, USA. Correspondence and requests for materials should be addressed to W.E.S. (email: [email protected]). NATURE COMMUNICATIONS | 4:1991 | DOI: 10.1038/ncomms2991 | www.nature.com/naturecommunications 1 & 2013 Macmillan Publishers Limited. All rights reserved. ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/ncomms2991 ver the past decade, the study of quantum physics using In this work, we describe a scanning superconducting superconducting circuits has seen rapid advances in qubit and demonstrate its coupling to a superconducting CPWR Osample design and measurement techniques1–3. -
Simulating Quantum Field Theory with a Quantum Computer
Simulating quantum field theory with a quantum computer John Preskill Bethe Lecture, Cornell 12 April 2019 Frontiers of Physics short distance long distance complexity Higgs boson Large scale structure “More is different” Neutrino masses Cosmic microwave Many-body entanglement background Supersymmetry Phases of quantum Dark matter matter Quantum gravity Dark energy Quantum computing String theory Gravitational waves Quantum spacetime particle collision molecular chemistry entangled electrons A quantum computer can simulate efficiently any physical process that occurs in Nature. (Maybe. We don’t actually know for sure.) superconductor black hole early universe Opportunities in quantum simulation of quantum field theory Exascale digital computers will advance our knowledge of QCD, but some challenges will remain, especially concerning real-time evolution and properties of nuclear matter and quark-gluon plasma at nonzero temperature and chemical potential. Digital computers may never be able to address these (and other) problems; quantum computers will solve them eventually, though I’m not sure when. The physics payoff may still be far away, but today’s research can hasten the arrival of a new era in which quantum simulation fuels progress in fundamental physics. Collaborators: Stephen Jordan, Keith Lee, Hari Krovi arXiv: 1111.3633, 1112.4833, 1404.7115, 1703.00454, 1811.10085 Work in progress: Alex Buser, Junyu Liu, Burak Sahinoglu ??? Quantum Supremacy! Quantum computing in the NISQ Era The (noisy) 50-100 qubit quantum computer is coming soon. (NISQ = noisy intermediate-scale quantum .) NISQ devices cannot be simulated by brute force using the most powerful currently existing supercomputers. Noise limits the computational power of NISQ-era technology. -
Arxiv:1803.00026V4 [Cond-Mat.Str-El] 8 Feb 2019 3 Variational Quantum-Classical Simulation (VQCS) 5
SciPost Physics Submission Efficient variational simulation of non-trivial quantum states Wen Wei Ho1*, Timothy H. Hsieh2,3, 1 Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA 2 Kavli Institute for Theoretical Physics, University of California, Santa Barbara, California 93106, USA 3 Perimeter Institute for Theoretical Physics, Waterloo, Ontario N2L 2Y5, Canada *[email protected] February 12, 2019 Abstract We provide an efficient and general route for preparing non-trivial quantum states that are not adiabatically connected to unentangled product states. Our approach is a hybrid quantum-classical variational protocol that incorporates a feedback loop between a quantum simulator and a classical computer, and is experimen- tally realizable on near-term quantum devices of synthetic quantum systems. We find explicit protocols which prepare with perfect fidelities (i) the Greenberger- Horne-Zeilinger (GHZ) state, (ii) a quantum critical state, and (iii) a topologically ordered state, with L variational parameters and physical runtimes T that scale linearly with the system size L. We furthermore conjecture and support numeri- cally that our protocol can prepare, with perfect fidelity and similar operational costs, the ground state of every point in the one dimensional transverse field Ising model phase diagram. Besides being practically useful, our results also illustrate the utility of such variational ans¨atzeas good descriptions of non-trivial states of matter. Contents 1 Introduction 2 2 Non-trivial quantum states -
Quantum Simulation Using Photons
Quantum Simulation Using Photons Philip Walther Faculty of Physics Enrico Fermi Summer School University of Vienna Varenna, Italy Austria 24-25 July 2016 Lecture I: Quantum Photonics Experimental Groups doing Quantum Computation & Simulation QuantumComputing@UniWien . Atoms (Harvard, MIT, MPQ, Hamburg,…) : single atoms in optical lattices transition superfluid → Mott insulator . Trapped Ions (Innsbruck, NIST, JQI Maryland, Ulm…): quantum magnets Dirac’s Zitterbewegung frustrated spin systems open quantum systems . NMR (Rio, SaoPaulo, Waterloo, MIT, Hefei,…): simulation of quantum dynamics ground state simulation of few (2-3) qubits . Superconducting Circuits (ETH, Yale, Santa Barbara,…): phase qudits for measuring Berry phase gate operations . Single Photons (Queensland, Rome, Bristol, Vienna,…) simulation of H2 potential (Nat.Chem 2, 106 (2009)) quantum random walks (PRL 104, 153602 (2010)) spin frustration Architecture race for quantum computers QuantumComputing@UniWien • UK: 270 M₤ • Netherlands: 135 M€ Why Photons ? QuantumComputing@UniWien . only weak interaction with environment (good coherence) . high-speed (c), low-loss transmission (‘flying qubits”) . good single-qubit control with standard optical components (waveplates, beamsplitters, mirrors,…) . feasible hardware requirements (no vaccuum etc.) . disadvantage: weak two-photon interactions (requires non-linear medium -> two-qubit gates are hard) Outlook of the Course QuantumComputing@UniWien (1) Quantum Photonics Concepts and Technology (2) Quantum Simulation (3) Photonic Quantum Simulation Examples . Analog Quantum Simulator . Digital Quantum Simulator . Intermediate Quantum Computation (4) Schemes based on superposition of gate orders Basic Elements in Photonic Quantum Computing and Quantum Simulation Literature Suggestion QuantumComputing@UniWien (1) Five Lectures on Optical Quantum Computing (P. Kok) http://arxiv.org/abs/0705.4193v1 (2007) (2) Linear optical quantum computing with photonic qubits Rev. -
QIP 2010 Tutorial and Scientific Programmes
QIP 2010 15th – 22nd January, Zürich, Switzerland Tutorial and Scientific Programmes asymptotically large number of channel uses. Such “regularized” formulas tell us Friday, 15th January very little. The purpose of this talk is to give an overview of what we know about 10:00 – 17:10 Jiannis Pachos (Univ. Leeds) this need for regularization, when and why it happens, and what it means. I will Why should anyone care about computing with anyons? focus on the quantum capacity of a quantum channel, which is the case we understand best. This is a short course in topological quantum computation. The topics to be covered include: 1. Introduction to anyons and topological models. 15:00 – 16:55 Daniel Nagaj (Slovak Academy of Sciences) 2. Quantum Double Models. These are stabilizer codes, that can be described Local Hamiltonians in quantum computation very much like quantum error correcting codes. They include the toric code This talk is about two Hamiltonian Complexity questions. First, how hard is it to and various extensions. compute the ground state properties of quantum systems with local Hamiltonians? 3. The Jones polynomials, their relation to anyons and their approximation by Second, which spin systems with time-independent (and perhaps, translationally- quantum algorithms. invariant) local interactions could be used for universal computation? 4. Overview of current state of topological quantum computation and open Aiming at a participant without previous understanding of complexity theory, we will discuss two locally-constrained quantum problems: k-local Hamiltonian and questions. quantum k-SAT. Learning the techniques of Kitaev and others along the way, our first goal is the understanding of QMA-completeness of these problems. -
Few-Electron Ultrastrong Light-Matter Coupling in a Quantum LC Circuit
PHYSICAL REVIEW X 4, 041031 (2014) Few-Electron Ultrastrong Light-Matter Coupling in a Quantum LC Circuit Yanko Todorov and Carlo Sirtori Université Paris Diderot, Sorbonne Paris Cité, Laboratoire Matériaux et Phénomènes Quantiques, CNRS-UMR 7162, 75013 Paris, France (Received 19 March 2014; revised manuscript received 23 October 2014; published 18 November 2014) The phenomenon of ultrastrong light-matter interaction of a two-dimensional electron gas within a lumped element electronic circuit resonator is explored. The gas is coupled through the oscillating electric field of the capacitor, and in the limit of very small capacitor volumes, the total number of electrons of the system can be reduced to only a few. One of the peculiar features of our quantum mechanical system is that its Hamiltonian evolves from the fermionic Rabi model to the bosonic Hopfield model for light-matter coupling as the number of electrons is increased. We show that the Dicke states, introduced to describe the atomic super-radiance, are the natural base to describe the crossover between the two models. Furthermore, we illustrate how the ultrastrong coupling regime in the system and the associated antiresonant terms of the quantum Hamiltonian have a fundamentally different impact in the fermionic and bosonic cases. In the intermediate regime, our system behaves like a multilevel quantum bit with nonharmonic energy spacing, owing to the particle-particle interactions. Such a system can be inserted into a technological semi- conductor platform, thus opening interesting perspectives for electronic devices where the readout of quantum electrodynamical properties is obtained via the measure of a DC current. -
Simulating Quantum Field Theory with A
Simulating quantum field theory with a quantum computer PoS(LATTICE2018)024 John Preskill∗ Institute for Quantum Information and Matter Walter Burke Institute for Theoretical Physics California Institute of Technology, Pasadena CA 91125, USA E-mail: [email protected] Forthcoming exascale digital computers will further advance our knowledge of quantum chromo- dynamics, but formidable challenges will remain. In particular, Euclidean Monte Carlo methods are not well suited for studying real-time evolution in hadronic collisions, or the properties of hadronic matter at nonzero temperature and chemical potential. Digital computers may never be able to achieve accurate simulations of such phenomena in QCD and other strongly-coupled field theories; quantum computers will do so eventually, though I’m not sure when. Progress toward quantum simulation of quantum field theory will require the collaborative efforts of quantumists and field theorists, and though the physics payoff may still be far away, it’s worthwhile to get started now. Today’s research can hasten the arrival of a new era in which quantum simulation fuels rapid progress in fundamental physics. The 36th Annual International Symposium on Lattice Field Theory - LATTICE2018 22-28 July, 2018 Michigan State University, East Lansing, Michigan, USA. ∗Speaker. c Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). https://pos.sissa.it/ Simulating quantum field theory with a quantum computer John Preskill 1. Introduction My talk at Lattice 2018 had two main parts. In the first part I commented on the near-term prospects for useful applications of quantum computing. -
Some Thermodynamic and Quantum Aspects of NMR Signal Detection Stanislav Sýkora URL of This Document: DOI: 10.3247/Sl4nmr11.002
Some Thermodynamic and Quantum Aspects of NMR Signal Detection Stanislav Sýkora URL of this document: www.ebyte.it/stan/Talk_BFF6_2011.html DOI: 10.3247/SL4nmr11.002 Presented at 6th BFF on Magnetic Resonance Microsystem , Saig/Titisee (Freiburg), Germany, 26-29 July 2011 Controversies about the nature of NMR signal and its most common modes of detection There is a growing body of literature showing that the foundations of Magnetic Resonance are not as well understood as they should be Principle articles: Bloch F., Nuclear Induction , Phys.Rev. 70, 460-474 (1946). Dicke R.H., Coherence in Spontaneous Radiation Processes , Phys.Rev. 93, 99-110 (1954). Hoult D.I., Bhakar B., NMR signal reception: Virtual photons and coherent spontaneous emission , Concepts Magn. Reson. 9, 277-297 (1997). Hoult D.I., Ginsberg N.S., The quantum origins of the free induction decay and spin noise , J.Magn.Reson. 148, 182-199 (2001). Jeener J., Henin F., A presentation of pulsed nuclear magnetic resonance with full quantization of the radio frequency magnetic field , J.Chem.Phys. 116, 8036-8047 (2002). Hoult D.I., The origins and present status of the radio wave controversy in NMR , Concepts in Magn.Reson. 34A, 193-216 (2009). Stan Sykora 6th BFF 2011, Freiburg, Germany Controversies about the nature of NMR signal and its most common modes of detection This author’s presentations: Magnetic Resonance in Astronomy: Feasibility Considerations , XXXVI GIDRM, 2006. Perpectives of Passive and Active Magnetic Resonance in Astronomy, 22nd NMR Valtice 2007. Spin Radiation, remote MR Spectroscopy, and MR Astronomy , 50th ENC, 2009. Signal Detection: Virtual photons and coherent spontaneous emission , 18th ISMRM, 2010. -
Fault-Tolerant Quantum Computation: Theory and Practice
FAULT-TOLERANT QUANTUM COMPUTATION: THEORY AND PRACTICE FAULT-TOLERANT QUANTUM COMPUTATION: THEORY AND PRACTICE Dissertation for the purpose of obtaining the degree of doctor at Delft University of Technology, by the authority of the Rector Magnificus prof. dr. ir. T.H.J.J. van der Hagen, Chair of the Board of Doctorates, to be defended publicly on Wednesday 15th, January 2020 at 12:30 o’clock by Christophe VUILLOT Master of Science in Computer Science, Université Paris Diderot, Paris, France, born in Clamart, France. This dissertation has been approved by the promotor. promotor: prof. dr. B. M. Terhal Composition of the doctoral committee: Rector Magnificus, chairperson Prof. dr. B. M. Terhal Technische Universiteit Delft, promotor Independent members: Prof. dr. C.W.J. Beenakker Universiteit Leiden Prof. dr. L. DiCarlo Technische Universiteit Delft Prof. dr. R.T. König Technische Universität München Dr. A. Leverrier Inria Paris Prof. dr. ir. L.M.K. Vandersypen Technische Universiteit Delft Prof. dr. R.M. de Wolf Centrum Wiskunde & Informatica Keywords: quantum computing, quantum error correction, fault-tolerance Printed by: Gildeprint - www.gildeprint.nl Front: Kandinsky Vassily (1866-1944), Auf Weiss II, 1923 Photo © Centre Pompidou, MNAM-CCI, Dist. RMN-Grand Palais / image Centre Pompidou, MNAM-CCI Copyright © 2019 by C. Vuillot ISBN 978-94-6384-097-2 An electronic version of this dissertation is available at http://repository.tudelft.nl/. This thesis is dedicated to my daughter Andréa and her mother Lisa. CONTENTS Summary xi Preface xiii 1 Introduction 1 1.1 Introduction to quantum computing . 2 1.1.1 Quantum mechanics. 2 1.1.2 Elementary quantum systems .