Experimental Quantum Mechanics in the Class Room: Testing Basic Ideas of Quantum Mechanics and Quantum Computing Using IBM Quantum Computer
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Implementing Grover's Algorithm on the IBM Quantum Computers
Implementing Grover’s Algorithm on the IBM Quantum Computers Aamir Mandviwalla*, Keita Ohshiro* and Bo Ji Abstract—This paper focuses on testing the current viability of Our goal in this paper is to study how close we are using quantum computers for the processing of data-driven tasks hardware-wise to realistically being able to exploit the poten- fueled by emerging data science applications. We test the publicly tial benefits of quantum algorithms. Prior work is rather limited available IBM quantum computers using Grover’s algorithm, a well-known quantum search algorithm, to obtain a baseline for this subject. There exist articles proclaiming that the age for the general evaluations of these quantum devices and to of quantum computing is only a year or two away along with investigate the impacts of various factors such as number of less positive articles that do not expect major advancements quantum bits (or qubits), qubit choice, and device choice. The for at least ten years [7], [8]. Instead of providing a prediction main contributions of this paper include a new 4-qubit imple- for the future, in this paper we aim to evaluate the accuracy mentation of Grover’s algorithm and test results showing the current capabilities of quantum computers. Our study indicates of quantum computers that are publicly available now. that quantum computers can currently only be used accurately To accomplish this goal, we run tests using Grover’s al- for solving simple problems with very small amounts of data. gorithm implemented in a variety of different ways on the There are also notable differences between different selections of publicly available IBM computers: IBM Q 5 Tenerife (5-qubit the qubits in the implementation design and between different chip) and IBM Q 16 Ruschlikon¨ (16-qubit chip) [9]. -
Dirac Notation Frank Rioux
Elements of Dirac Notation Frank Rioux In the early days of quantum theory, P. A. M. (Paul Adrian Maurice) Dirac created a powerful and concise formalism for it which is now referred to as Dirac notation or bra-ket (bracket ) notation. Two major mathematical traditions emerged in quantum mechanics: Heisenberg’s matrix mechanics and Schrödinger’s wave mechanics. These distinctly different computational approaches to quantum theory are formally equivalent, each with its particular strengths in certain applications. Heisenberg’s variation, as its name suggests, is based matrix and vector algebra, while Schrödinger’s approach requires integral and differential calculus. Dirac’s notation can be used in a first step in which the quantum mechanical calculation is described or set up. After this is done, one chooses either matrix or wave mechanics to complete the calculation, depending on which method is computationally the most expedient. Kets, Bras, and Bra-Ket Pairs In Dirac’s notation what is known is put in a ket, . So, for example, p expresses the fact that a particle has momentum p. It could also be more explicit: p = 2 , the particle has momentum equal to 2; x = 1.23 , the particle has position 1.23. Ψ represents a system in the state Q and is therefore called the state vector. The ket can also be interpreted as the initial state in some transition or event. The bra represents the final state or the language in which you wish to express the content of the ket . For example,x =Ψ.25 is the probability amplitude that a particle in state Q will be found at position x = .25. -
Dirac Equation - Wikipedia
Dirac equation - Wikipedia https://en.wikipedia.org/wiki/Dirac_equation Dirac equation From Wikipedia, the free encyclopedia In particle physics, the Dirac equation is a relativistic wave equation derived by British physicist Paul Dirac in 1928. In its free form, or including electromagnetic interactions, it 1 describes all spin-2 massive particles such as electrons and quarks for which parity is a symmetry. It is consistent with both the principles of quantum mechanics and the theory of special relativity,[1] and was the first theory to account fully for special relativity in the context of quantum mechanics. It was validated by accounting for the fine details of the hydrogen spectrum in a completely rigorous way. The equation also implied the existence of a new form of matter, antimatter, previously unsuspected and unobserved and which was experimentally confirmed several years later. It also provided a theoretical justification for the introduction of several component wave functions in Pauli's phenomenological theory of spin; the wave functions in the Dirac theory are vectors of four complex numbers (known as bispinors), two of which resemble the Pauli wavefunction in the non-relativistic limit, in contrast to the Schrödinger equation which described wave functions of only one complex value. Moreover, in the limit of zero mass, the Dirac equation reduces to the Weyl equation. Although Dirac did not at first fully appreciate the importance of his results, the entailed explanation of spin as a consequence of the union of quantum mechanics and relativity—and the eventual discovery of the positron—represents one of the great triumphs of theoretical physics. -
Arxiv:1812.09167V1 [Quant-Ph] 21 Dec 2018 It with the Tex Typesetting System Being a Prime Example
Open source software in quantum computing Mark Fingerhutha,1, 2 Tomáš Babej,1 and Peter Wittek3, 4, 5, 6 1ProteinQure Inc., Toronto, Canada 2University of KwaZulu-Natal, Durban, South Africa 3Rotman School of Management, University of Toronto, Toronto, Canada 4Creative Destruction Lab, Toronto, Canada 5Vector Institute for Artificial Intelligence, Toronto, Canada 6Perimeter Institute for Theoretical Physics, Waterloo, Canada Open source software is becoming crucial in the design and testing of quantum algorithms. Many of the tools are backed by major commercial vendors with the goal to make it easier to develop quantum software: this mirrors how well-funded open machine learning frameworks enabled the development of complex models and their execution on equally complex hardware. We review a wide range of open source software for quantum computing, covering all stages of the quantum toolchain from quantum hardware interfaces through quantum compilers to implementations of quantum algorithms, as well as all quantum computing paradigms, including quantum annealing, and discrete and continuous-variable gate-model quantum computing. The evaluation of each project covers characteristics such as documentation, licence, the choice of programming language, compliance with norms of software engineering, and the culture of the project. We find that while the diversity of projects is mesmerizing, only a few attract external developers and even many commercially backed frameworks have shortcomings in software engineering. Based on these observations, we highlight the best practices that could foster a more active community around quantum computing software that welcomes newcomers to the field, but also ensures high-quality, well-documented code. INTRODUCTION Source code has been developed and shared among enthusiasts since the early 1950s. -
Chapter 5 the Dirac Formalism and Hilbert Spaces
Chapter 5 The Dirac Formalism and Hilbert Spaces In the last chapter we introduced quantum mechanics using wave functions defined in position space. We identified the Fourier transform of the wave function in position space as a wave function in the wave vector or momen tum space. Expectation values of operators that represent observables of the system can be computed using either representation of the wavefunc tion. Obviously, the physics must be independent whether represented in position or wave number space. P.A.M. Dirac was the first to introduce a representation-free notation for the quantum mechanical state of the system and operators representing physical observables. He realized that quantum mechanical expectation values could be rewritten. For example the expected value of the Hamiltonian can be expressed as ψ∗ (x) Hop ψ (x) dx = ψ Hop ψ , (5.1) h | | i Z = ψ ϕ , (5.2) h | i with ϕ = Hop ψ . (5.3) | i | i Here, ψ and ϕ are vectors in a Hilbert-Space, which is yet to be defined. For exampl| i e, c|omi plex functions of one variable, ψ(x), that are square inte 241 242 CHAPTER 5. THE DIRAC FORMALISM AND HILBERT SPACES grable, i.e. ψ∗ (x) ψ (x) dx < , (5.4) ∞ Z 2 formt heHilbert-Spaceofsquareintegrablefunctionsdenoteda s L. In Dirac notation this is ψ∗ (x) ψ (x) dx = ψ ψ . (5.5) h | i Z Orthogonality relations can be rewritten as ψ∗ (x) ψ (x) dx = ψ ψ = δmn. (5.6) m n h m| ni Z As see aboveexpressions look likeabrackethecalledthe vector ψn aket vector and ψ a bra-vector. -
Quantum Computing for Undergraduates: a True STEAM Case
Lat. Am. J. Sci. Educ. 6, 22030 (2019) Latin American Journal of Science Education www.lajse.org Quantum Computing for Undergraduates: a true STEAM case a b c César B. Cevallos , Manuel Álvarez Alvarado , and Celso L. Ladera a Instituto de Ciencias Básicas, Dpto. de Física, Universidad Técnica de Manabí, Portoviejo, Provincia de Manabí, Ecuador b Facultad de Ingeniería en Electricidad y Computación, Escuela Politécnica del Litoral, Guayaquil. Ecuador c Departamento de Física, Universidad Simón Bolívar, Valle de Sartenejas, Caracas 1089, Venezuela A R T I C L E I N F O A B S T R A C T Received: Agosto 15, 2019 The first quantum computers of 5-20 superconducting qubits are now available for free Accepted: September 20, 2019 through the Cloud for anyone who wants to implement arrays of logical gates, and eventually Available on-line: Junio 6, 2019 to program advanced computer algorithms. The latter to be eventually used in solving Combinatorial Optimization problems, in Cryptography or for cracking complex Keywords: STEAM, quantum computational chemistry problems, which cannot be either programmed or solved using computer, engineering curriculum, classical computers based on present semiconductor electronics. Moreover, Quantum physics curriculum. Advantage, i.e. computational power beyond that of conventional computers seems to be within our reach in less than one year from now (June 2018). It does seem unlikely that these E-mail addresses: new fast computers, based on quantum mechanics and superconducting technology, will ever [email protected] become laptop-like. Yet, within a decade or less, their physics, technology and programming [email protected] will forcefully become part, of the undergraduate curriculae of Physics, Electronics, Material [email protected] Science, and Computer Science: it is indeed a subject that embraces Sciences, Advanced Technologies and even Art e.g. -
3Rd Summit on Advances in Programming Languages (SNAPL 2019)
3rd Summit on Advances in Programming Languages SNAPL 2019, May 16–17, 2019, Providence, RI, USA Edited by Benjamin S. Lerner Rastislav Bodík Shriram Krishnamurthi L I P I c s – Vo l . 136 – SNAPL 2019 w w w . d a g s t u h l . d e / l i p i c s Editors Benjamin S. Lerner Northeastern University, USA [email protected] Rastislav Bodík University of California Berkeley, USA [email protected] Shriram Krishnamurthi Brown University, USA [email protected] ACM Classification 2012 Software and its engineering → General programming languages; Software and its engineering → Semantics ISBN 978-3-95977-113-9 Published online and open access by Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH, Dagstuhl Publishing, Saarbrücken/Wadern, Germany. Online available at https://www.dagstuhl.de/dagpub/978-3-95977-113-9. Publication date July, 2019 Bibliographic information published by the Deutsche Nationalbibliothek The Deutsche Nationalbibliothek lists this publication in the Deutsche Nationalbibliografie; detailed bibliographic data are available in the Internet at https://portal.dnb.de. License This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC-BY 3.0): https://creativecommons.org/licenses/by/3.0/legalcode. In brief, this license authorizes each and everybody to share (to copy, distribute and transmit) the work under the following conditions, without impairing or restricting the authors’ moral rights: Attribution: The work must be attributed to its authors. The copyright is retained by the corresponding authors. Digital Object Identifier: 10.4230/LIPIcs.SNAPL.2019.0 ISBN 978-3-95977-113-9 ISSN 1868-8969 https://www.dagstuhl.de/lipics 0:iii LIPIcs – Leibniz International Proceedings in Informatics LIPIcs is a series of high-quality conference proceedings across all fields in informatics. -
Special Theme Quantum Computing
Number 112 January 2018 ERCIM NEWS www.ercim.eu Special theme Quantum Computing Also in this issue: Research and Innovation: Computers that negotiate on our behalf Editorial Information Contents ERCIM News is the magazine of ERCIM. Published quar - terly, it reports on joint actions of the ERCIM partners, and aims to reflect the contribution made by ERCIM to the European Community in Information Technology and Applied Mathematics. Through short articles and news items, it pro - vides a forum for the exchange of information between the JoINt ERCIM ACtIoNS SPECIAL tHEME institutes and also with the wider scientific community. This issue has a circulation of about 6,000 printed copies and is 4 Foreword from the President The special theme section “Quantum also available online. Computing” has been coordinated by 4 Jos Baeten, Elected President of Jop Briët (CWI) and Simon Perdrix ERCIM News is published by ERCIM EEIG ERCIM AISBL (CNRS, LORIA) BP 93, F-06902 Sophia Antipolis Cedex, France Tel: +33 4 9238 5010, E-mail: [email protected] 5 Tim Baarslag Winner of the 2017 8 Quantum Computation and Director: Philipp Hoschka, ISSN 0926-4981 Cor Baayen Young Researcher Information - Introduction to the Award Special Theme Contributions by Jop Briët (CWI) and Simon Contributions should be submitted to the local editor of your 6 ERCIM Cor Baayen Award 2017 Perdrix (CNRS, LORIA) country 7 ERCIM Established Working 10 How Classical Beings Can Test Copyrightnotice Group on Blockchain Technology Quantum Devices All authors, as identified in each article, retain copyright of their by Stacey Jeffery (CWI) work. ERCIM News is licensed under a Creative Commons 7 HORIZON 2020 Project Attribution 4.0 International License (CC-BY). -
Modeling Classical Dynamics and Quantum Effects In
Modeling Classical Dynamics and Quantum Effects in Superconducting Circuit Systems by Peter Groszkowski A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree of Doctor of Philosophy in Physics Waterloo, Ontario, Canada, 2015 c Peter Groszkowski 2015 I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. ii Abstract In recent years, superconducting circuits have come to the forefront of certain areas of physics. They have shown to be particularly useful in research related to quantum computing and information, as well as fundamental physics. This is largely because they provide a very flexible way to implement complicated quantum systems that can be relatively easily manipulated and measured. In this thesis we look at three different applications where superconducting circuits play a central role, and explore their classical and quantum dynamics and behavior. The first part consists of studying the Casimir [20] and Casimir{Polder like [19] effects. These effects have been discovered in 1948 and show that under certain conditions, vacuum field fluctuations can mediate forces between neutral objects. In our work, we analyze analogous behavior in a superconducting system which consists of a stripline cavity with a DC{SQUID on one of its boundaries, as well as, in a Casimir{Polder case, a charge qubit coupled to the field of the cavity. Instead of a force, in the system considered here, we show that the Casimir and Casimir{ Polder like effects are mediated through a circulating current around the loop of the boundary DC{SQUID. -
Lawrence Berkeley National Laboratory Recent Work
Lawrence Berkeley National Laboratory Recent Work Title Simulating Quantum Materials with Digital Quantum Computers Permalink https://escholarship.org/uc/item/4zg9w1vj Authors Bassman, Lindsay Urbanek, Miroslav Metcalf, Mekena et al. Publication Date 2021-01-21 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Simulating Quantum Materials with Digital Quantum Computers Lindsay Bassman, Miroslav Urbanek, Mekena Metcalf, Jonathan Carter Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA E-mail: [email protected] Alexander F. Kemper Department of Physics, North Carolina State University, Raleigh, North Carolina 27695, USA Wibe de Jong Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA Abstract. Quantum materials exhibit a wide array of exotic phenomena and practically useful properties. A better understanding of these materials can provide deeper insights into fundamental physics in the quantum realm as well as advance technology for entertainment, healthcare, and sustainability. The emergence of digital quantum computers (DQCs), which can efficiently perform quantum simulations that are otherwise intractable on classical computers, provides a promising path forward for testing and analyzing the remarkable, and often counter-intuitive, behavior of quantum materials. Equipped with these new tools, scientists from diverse domains are racing towards achieving physical quantum advantage (i.e., using a quantum computer to learn new physics with a computation that cannot feasibly be run on any classical computer). The aim of this review, therefore, is to provide a summary of progress made towards this goal that is accessible to scientists across the physical sciences. We will first review the available technology and algorithms, and detail the myriad ways arXiv:2101.08836v1 [quant-ph] 21 Jan 2021 to represent materials on quantum computers. -
Quantum Computing with the IBM Quantum Experience with the Quantum Information Software Toolkit (Qiskit) Nick Bronn Research Staff Member IBM T.J
Quantum Computing with the IBM Quantum Experience with the Quantum Information Software Toolkit (QISKit) Nick Bronn Research Staff Member IBM T.J. Watson Research Center ACM Poughkeepsie Monthly Meeting, January 2018 1 ©2017 IBM Corporation 25 January 2018 Overview Part 1: Quantum Computing § What, why, how § Quantum gates and circuits Part 2: Superconducting Qubits § Device properties § Control and performance Part 3: IBM Quantum Experience § Website: GUI, user guides, community § QISKit: API, SDK, Tutorials 2 ©2017 IBM Corporation 25 January 2018 Quantum computing: what, why, how 3 ©2017 IBM Corporation 25 January 2018 “Nature isn’t classical . if you want to make a simula6on of nature, you’d be:er make it quantum mechanical, and by golly it’s a wonderful problem, because it doesn’t look so easy.” – Richard Feynman, 1981 1st Conference on Physics and Computation, MIT 4 ©2017 IBM Corporation 25 January 2018 Computing with Quantum Mechanics: Features Superposion: a system’s state can be any linear combinaon of classical states …un#l it is measured, at which point it collapses to one of the classical states Example: Schrodinger’s Cat “Classical” states Quantum Normalizaon wavefuncon Entanglement: par0cles in superposi0on 1 ⎛ ⎞ ψ = ⎜ + ⎟ can develop correlaons such that 2 ⎜ ⎟ measuring just one affects them all ⎝ ⎠ Example: EPR Paradox (Einstein: “spooky Linear combinaon ac0on at a distance”) 5 ©2017 IBM Corporation 25 January 2018 Computing with Quantum Mechanics: Drawbacks 1 Decoherence: a system is gradually measured by residual interac0on with its environment, killing quantum behavior Qubit State Consequence: quantum effects observed only 0 Time in well-isolated systems (so not cats… yet) Uncertainty principle: measuring one variable (e.g. -
(1) Zero-Point Energy
Zero-Point Energy, Quantum Vacuum and Quantum Field Theory for Beginners M.Cattani ([email protected] ) Instituto de Física da Universidade de São Paulo(USP) Abstract. This is a didactical paper written to students of Physics showing some basic aspects of the Quantum Vacuum: Zero-Point Energy, Vacuum Fluctuations, Lamb Shift and Casimir Force. (1) Zero-Point Energy. Graduate students of Physics learned that in 1900,[1,2] Max Planck explained the "black body radiation" showing that the average energy ε of a single energy radiator inside of a resonant cavity, vibrating with frequency ν at a absolute temperature T is given by hν/kT ε = hν/(e - 1) (1.1), where h is the Planck constant and k the Boltzmann constant. Later, in 1912 published a modified version of the quantized oscillator introducing a residual energy factor hν/2, that is, writing hν/kT ε = hν/2 + hν/(e - 1) (1.2). In this way, the term hν/2 would represent the residual energy when T → 0. It is widely agreed that this Planck´s equation marks the birth of the concept of "zero-point energy"(ZPE) of a system. It would contradict the fact that in classical physics when T→ 0 all motion ceases and particles come completely to rest with energy tending to zero. In addition, according to Eq.(1.2) taking into account contributions of all frequencies, from zero up to infinite, the ZPE would have an infinite energy! Many physicists have made a clear opposition to the idea of the ZPE claiming that infinite energy has no physical meaning.