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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. -
Perturbative Algebraic Quantum Field Theory at Finite Temperature
Perturbative Algebraic Quantum Field Theory at Finite Temperature Dissertation zur Erlangung des Doktorgrades des Fachbereichs Physik der Universität Hamburg vorgelegt von Falk Lindner aus Zittau Hamburg 2013 Gutachter der Dissertation: Prof. Dr. K. Fredenhagen Prof. Dr. D. Bahns Gutachter der Disputation: Prof. Dr. K. Fredenhagen Prof. Dr. J. Louis Datum der Disputation: 01. 07. 2013 Vorsitzende des Prüfungsausschusses: Prof. Dr. C. Hagner Vorsitzender des Promotionsausschusses: Prof. Dr. P. Hauschildt Dekan der Fakultät für Mathematik, Informatik und Naturwissenschaften: Prof. Dr. H. Graener Zusammenfassung Der algebraische Zugang zur perturbativen Quantenfeldtheorie in der Minkowskiraum- zeit wird vorgestellt, wobei ein Schwerpunkt auf die inhärente Zustandsunabhängig- keit des Formalismus gelegt wird. Des Weiteren wird der Zustandsraum der pertur- bativen QFT eingehend untersucht. Die Dynamik wechselwirkender Theorien wird durch ein neues Verfahren konstruiert, das die Gültigkeit des Zeitschichtaxioms in der kausalen Störungstheorie systematisch ausnutzt. Dies beleuchtet einen bisher un- bekannten Zusammenhang zwischen dem statistischen Zugang der Quantenmechanik und der perturbativen Quantenfeldtheorie. Die entwickelten Methoden werden zur ex- pliziten Konstruktion von KMS- und Vakuumzuständen des wechselwirkenden, mas- siven Klein-Gordon Feldes benutzt und damit mögliche Infrarotdivergenzen der Theo- rie, also insbesondere der wechselwirkenden Wightman- und zeitgeordneten Funktio- nen des wechselwirkenden Feldes ausgeschlossen. Abstract We present the algebraic approach to perturbative quantum field theory for the real scalar field in Minkowski spacetime. In this work we put a special emphasis on the in- herent state-independence of the framework and provide a detailed analysis of the state space. The dynamics of the interacting system is constructed in a novel way by virtue of the time-slice axiom in causal perturbation theory. -
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. -
Regularization and Renormalization of Non-Perturbative Quantum Electrodynamics Via the Dyson-Schwinger Equations
University of Adelaide School of Chemistry and Physics Doctor of Philosophy Regularization and Renormalization of Non-Perturbative Quantum Electrodynamics via the Dyson-Schwinger Equations by Tom Sizer Supervisors: Professor A. G. Williams and Dr A. Kızılers¨u March 2014 Contents 1 Introduction 1 1.1 Introduction................................... 1 1.2 Dyson-SchwingerEquations . .. .. 2 1.3 Renormalization................................. 4 1.4 Dynamical Chiral Symmetry Breaking . 5 1.5 ChapterOutline................................. 5 1.6 Notation..................................... 7 2 Canonical QED 9 2.1 Canonically Quantized QED . 9 2.2 FeynmanRules ................................. 12 2.3 Analysis of Divergences & Weinberg’s Theorem . 14 2.4 ElectronPropagatorandSelf-Energy . 17 2.5 PhotonPropagatorandPolarizationTensor . 18 2.6 ProperVertex.................................. 20 2.7 Ward-TakahashiIdentity . 21 2.8 Skeleton Expansion and Dyson-Schwinger Equations . 22 2.9 Renormalization................................. 25 2.10 RenormalizedPerturbationTheory . 27 2.11 Outline Proof of Renormalizability of QED . 28 3 Functional QED 31 3.1 FullGreen’sFunctions ............................. 31 3.2 GeneratingFunctionals............................. 33 3.3 AbstractDyson-SchwingerEquations . 34 3.4 Connected and One-Particle Irreducible Green’s Functions . 35 3.5 Euclidean Field Theory . 39 3.6 QEDviaFunctionalIntegrals . 40 3.7 Regularization.................................. 42 3.7.1 Cutoff Regularization . 42 3.7.2 Pauli-Villars Regularization . 42 i 3.7.3 Lattice Regularization . 43 3.7.4 Dimensional Regularization . 44 3.8 RenormalizationoftheDSEs ......................... 45 3.9 RenormalizationGroup............................. 49 3.10BrokenScaleInvariance ............................ 53 4 The Choice of Vertex 55 4.1 Unrenormalized Quenched Formalism . 55 4.2 RainbowQED.................................. 57 4.2.1 Self-Energy Derivations . 58 4.2.2 Analytic Approximations . 60 4.2.3 Numerical Solutions . 62 4.3 Rainbow QED with a 4-Fermion Interaction . -
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. -
Spin Foam Vertex Amplitudes on Quantum Computer—Preliminary Results
universe Article Spin Foam Vertex Amplitudes on Quantum Computer—Preliminary Results Jakub Mielczarek 1,2 1 CPT, Aix-Marseille Université, Université de Toulon, CNRS, F-13288 Marseille, France; [email protected] 2 Institute of Physics, Jagiellonian University, Łojasiewicza 11, 30-348 Cracow, Poland Received: 16 April 2019; Accepted: 24 July 2019; Published: 26 July 2019 Abstract: Vertex amplitudes are elementary contributions to the transition amplitudes in the spin foam models of quantum gravity. The purpose of this article is to make the first step towards computing vertex amplitudes with the use of quantum algorithms. In our studies we are focused on a vertex amplitude of 3+1 D gravity, associated with a pentagram spin network. Furthermore, all spin labels of the spin network are assumed to be equal j = 1/2, which is crucial for the introduction of the intertwiner qubits. A procedure of determining modulus squares of vertex amplitudes on universal quantum computers is proposed. Utility of the approach is tested with the use of: IBM’s ibmqx4 5-qubit quantum computer, simulator of quantum computer provided by the same company and QX quantum computer simulator. Finally, values of the vertex probability are determined employing both the QX and the IBM simulators with 20-qubit quantum register and compared with analytical predictions. Keywords: Spin networks; vertex amplitudes; quantum computing 1. Introduction The basic objective of theories of quantum gravity is to calculate transition amplitudes between configurations of the gravitational field. The most straightforward approach to the problem is provided by the Feynman’s path integral Z i (SG+Sf) hY f jYii = D[g]D[f]e } , (1) where SG and Sf are the gravitational and matter actions respectively. -
Arxiv:2010.00046V2 [Hep-Ph] 13 Oct 2020
IPPP/20/41 Towards a Quantum Computing Algorithm for Helicity Amplitudes and Parton Showers Khadeejah Bepari,a Sarah Malik,b Michael Spannowskya and Simon Williamsb aInstitute for Particle Physics Phenomenology, Department of Physics, Durham University, Durham DH1 3LE, U.K. bHigh Energy Physics Group, Blackett Laboratory, Imperial College, Prince Consort Road, London, SW7 2AZ, United Kingdom E-mail: [email protected], [email protected], [email protected], [email protected] Abstract: The interpretation of measurements of high-energy particle collisions relies heavily on the performance of full event generators. By far the largest amount of time to predict the kinematics of multi-particle final states is dedicated to the calculation of the hard process and the subsequent parton shower step. With the continuous improvement of quantum devices, dedicated algorithms are needed to exploit the potential quantum computers can provide. We propose general and extendable algorithms for quantum gate computers to facilitate calculations of helicity amplitudes and the parton shower process. The helicity amplitude calculation exploits the equivalence between spinors and qubits and the unique features of a quantum computer to compute the helicities of each particle in- volved simultaneously, thus fully utilising the quantum nature of the computation. This advantage over classical computers is further exploited by the simultaneous computation of s and t-channel amplitudes for a 2 2 process. The parton shower algorithm simulates ! collinear emission for a two-step, discrete parton shower. In contrast to classical imple- mentations, the quantum algorithm constructs a wavefunction with a superposition of all shower histories for the whole parton shower process, thus removing the need to explicitly keep track of individual shower histories. -
General-Purpose Quantum Circuit Simulator with Projected Entangled-Pair States and the Quantum Supremacy Frontier
PHYSICAL REVIEW LETTERS 123, 190501 (2019) General-Purpose Quantum Circuit Simulator with Projected Entangled-Pair States and the Quantum Supremacy Frontier Chu Guo,1,* Yong Liu ,2,* Min Xiong,2 Shichuan Xue,2 Xiang Fu ,2 Anqi Huang,2 Xiaogang Qiang ,2 Ping Xu,2 Junhua Liu,3,4 Shenggen Zheng,5 He-Liang Huang,1,6,7 Mingtang Deng,2 † ‡ Dario Poletti,8, Wan-Su Bao,1,7, and Junjie Wu 2,§ 1Henan Key Laboratory of Quantum Information and Cryptography, IEU, Zhengzhou 450001, China 2Institute for Quantum Information & State Key Laboratory of High Performance Computing, College of Computer, National University of Defense Technology, Changsha 410073, China 3Information Systems Technology and Design, Singapore University of Technology and Design, 8 Somapah Road, 487372 Singapore 4Quantum Intelligence Lab (QI-Lab), Supremacy Future Technologies (SFT), Guangzhou 511340, China 5Center for Quantum Computing, Peng Cheng Laboratory, Shenzhen 518055, China 6Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, China 7CAS Centre for Excellence and Synergetic Innovation Centre in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China 8Science and Math Cluster and EPD Pillar, Singapore University of Technology and Design, 8 Somapah Road, 487372 Singapore (Received 30 July 2019; published 4 November 2019) Recent advances on quantum computing hardware have pushed quantum computing to the verge of quantum supremacy. Here, we bring together many-body quantum physics and quantum computing by using a method for strongly interacting two-dimensional systems, the projected entangled-pair states, to realize an effective general-purpose simulator of quantum algorithms. -
High Energy Physics Quantum Information Science Awards Abstracts
High Energy Physics Quantum Information Science Awards Abstracts Towards Directional Detection of WIMP Dark Matter using Spectroscopy of Quantum Defects in Diamond Ronald Walsworth, David Phillips, and Alexander Sushkov Challenges and Opportunities in Noise‐Aware Implementations of Quantum Field Theories on Near‐Term Quantum Computing Hardware Raphael Pooser, Patrick Dreher, and Lex Kemper Quantum Sensors for Wide Band Axion Dark Matter Detection Peter S Barry, Andrew Sonnenschein, Clarence Chang, Jiansong Gao, Steve Kuhlmann, Noah Kurinsky, and Joel Ullom The Dark Matter Radio‐: A Quantum‐Enhanced Dark Matter Search Kent Irwin and Peter Graham Quantum Sensors for Light-field Dark Matter Searches Kent Irwin, Peter Graham, Alexander Sushkov, Dmitry Budke, and Derek Kimball The Geometry and Flow of Quantum Information: From Quantum Gravity to Quantum Technology Raphael Bousso1, Ehud Altman1, Ning Bao1, Patrick Hayden, Christopher Monroe, Yasunori Nomura1, Xiao‐Liang Qi, Monika Schleier‐Smith, Brian Swingle3, Norman Yao1, and Michael Zaletel Algebraic Approach Towards Quantum Information in Quantum Field Theory and Holography Daniel Harlow, Aram Harrow and Hong Liu Interplay of Quantum Information, Thermodynamics, and Gravity in the Early Universe Nishant Agarwal, Adolfo del Campo, Archana Kamal, and Sarah Shandera Quantum Computing for Neutrino‐nucleus Dynamics Joseph Carlson, Rajan Gupta, Andy C.N. Li, Gabriel Perdue, and Alessandro Roggero Quantum‐Enhanced Metrology with Trapped Ions for Fundamental Physics Salman Habib, Kaifeng Cui1, -
Quantum Mechanics of Topological Solitons
Imperial College London Department of Physics Quantum mechanics of topological solitons David J. Weir September 2011 Supervised by Arttu Rajantie Submitted in part fulfilment of the requirements for the degree of Doctor of Philosophy in Physics of Imperial College London and the Diploma of Imperial College London 1 Declaration I herewith certify that all material in this dissertation which is not my own work has been properly acknowledged. David J. Weir 3 Abstract Topological solitons { are of broad interest in physics. They are objects with localised energy and stability ensured by their topological properties. It is possible to create them during phase transitions which break some sym- metry in a frustrated system. They are ubiquitous in condensed matter, ranging from monopole excitations in spin ices to vortices in superconduc- tors. In such situations, their behaviour has been extensively studied. Less well understood and yet equally interesting are the symmetry-breaking phase transitions that could produce topological defects is the early universe. Grand unified theories generically admit the creation of cosmic strings and monopoles, amongst other objects. There is no reason to expect that the behaviour of such objects should be classical or, indeed, supersymmetric, so to fully understand the behaviour of these theories it is necessary to study the quantum properties of the associated topological defects. Unfortunately, the standard analytical tools for studying quantum field theory { including perturbation theory { do not work so well when applied to topological defects. Motivated by this realisation, this thesis presents numerical techniques for the study of topological solitons in quantum field theory. Calculations are carried out nonperturbatively within the framework of lattice Monte Carlo simulations. -
Explicit Lower Bounds on Strong Quantum Simulation
Explicit lower bounds on strong quantum simulation Cupjin Huang1,2, Michael Newman1,3, and Mario Szegedy1 1Aliyun Quantum Laboratory, Alibaba Group, Bellevue, WA 98004, USA 2Department of Computer Science, University of Michigan, Ann Arbor, MI 48109, USA 3Department of Mathematics, University of Michigan, Ann Arbor, MI 48109, USA Abstract We consider the problem of strong (amplitude-wise) simulation of n-qubit quantum circuits, and identify a subclass of simulators we call monotone. This subclass encompasses almost all prominent simulation techniques. We prove an unconditional (i.e. without relying on any complexity theoretic assumptions) and explicit (n − 2)(2n−3 − 1) lower bound on the running time of simulators within this subclass. Assuming the Strong Exponential Time Hypothesis (SETH), we further remark that a universal simulator computing any amplitude to precision 2−n=2 must take at least 2n−o(n) time. Finally, we compare strong simulators to existing SAT solvers, and identify the time-complexity below which a strong simulator would improve on state-of-the-art SAT solving. 1 Introduction As quantum computers grow in size, so too does the interest in simulating them classically. In- timately tied to our ability to simulate these circuits is the notion of quantum supremacy, which tries to quantify the threshold beyond which quantum devices will outperform their classical coun- terparts [Pre12, BIS+18]. Furthermore, intermediate-size quantum devices need to be tested, a task that can be assisted by efficient simulation [Pre18]. Consequently, there has been a growing body of literature aimed at improving, testing, and clas- sifying existing simulation techniques [BIS+18, BISN17, AC17, CZC+18, CZX+18, HS17, PGN+17, BG16, Nes08].