Entanglement Witnesses with Tensor Networks Characterizing Entanglement in Large Systems
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Tensor Network Methods in Many-Body Physics Andras Molnar
Tensor Network Methods in Many-body physics Andras Molnar Ludwig-Maximilians-Universit¨atM¨unchen Max-Planck-Institut f¨urQuanutenoptik M¨unchen2019 Tensor Network Methods in Many-body physics Andras Molnar Dissertation an der Fakult¨atf¨urPhysik der Ludwig{Maximilians{Universit¨at M¨unchen vorgelegt von Andras Molnar aus Budapest M¨unchen, den 25/02/2019 Erstgutachter: Prof. Dr. Jan von Delft Zweitgutachter: Prof. Dr. J. Ignacio Cirac Tag der m¨undlichen Pr¨ufung:3. Mai 2019 Abstract Strongly correlated systems exhibit phenomena { such as high-TC superconductivity or the fractional quantum Hall effect { that are not explicable by classical and semi-classical methods. Moreover, due to the exponential scaling of the associated Hilbert space, solving the proposed model Hamiltonians by brute-force numerical methods is bound to fail. Thus, it is important to develop novel numerical and analytical methods that can explain the physics in this regime. Tensor Network states are quantum many-body states that help to overcome some of these difficulties by defining a family of states that depend only on a small number of parameters. Their use is twofold: they are used as variational ansatzes in numerical algorithms as well as providing a framework to represent a large class of exactly solvable models that are believed to represent all possible phases of matter. The present thesis investigates mathematical properties of these states thus deepening the understanding of how and why Tensor Networks are suitable for the description of quantum many-body systems. It is believed that tensor networks can represent ground states of local Hamiltonians, but how good is this representation? This question is of fundamental importance as variational algorithms based on tensor networks can only perform well if any ground state can be approximated efficiently in such a way. -
Tensor Networks, MERA & 2D MERA ✦ Classify Tensor Network Ansatz According to Its Entanglement Scaling
Lecture 1: tensor network states (MPS, PEPS & iPEPS, Tree TN, MERA, 2D MERA) Philippe Corboz, Institute for Theoretical Physics, University of Amsterdam i1 i2 i3 i4 i5 i6 i7 i8 i9 i10 i11i12 i13 i14 i15i16 i17 i18 Outline ‣ Lecture 1: tensor network states ✦ Main idea of a tensor network ansatz & area law of the entanglement entropy ✦ MPS, PEPS & iPEPS, Tree tensor networks, MERA & 2D MERA ✦ Classify tensor network ansatz according to its entanglement scaling ‣ Lecture II: tensor network algorithms (iPEPS) ✦ Contraction & Optimization ‣ Lecture III: Fermionic tensor networks ✦ Formalism & applications to the 2D Hubbard model ✦ Other recent progress Motivation: Strongly correlated quantum many-body systems High-Tc Quantum magnetism / Novel phases with superconductivity spin liquids ultra-cold atoms Challenging!tech-faq.com Typically: • No exact analytical solution Accurate and efficient • Mean-field / perturbation theory fails numerical simulations • Exact diagonalization: O(exp(N)) are essential! Quantum Monte Carlo • Main idea: Statistical sampling of the exponentially large configuration space • Computational cost is polynomial in N and not exponential Very powerful for many spin and bosonic systems Quantum Monte Carlo • Main idea: Statistical sampling of the exponentially large configuration space • Computational cost is polynomial in N and not exponential Very powerful for many spin and bosonic systems Example: The Heisenberg model . Sandvik & Evertz, PRB 82 (2010): . H = SiSj system sizes up to 256x256 i,j 65536 ⇥ Hilbert space: 2 Ground state sublattice magn. m =0.30743(1) has Néel order . Quantum Monte Carlo • Main idea: Statistical sampling of the exponentially large configuration space • Computational cost is polynomial in N and not exponential Very powerful for many spin and bosonic systems BUT Quantum Monte Carlo & the negative sign problem Bosons Fermions (e.g. -
Front Matter of the Book Contains a Detailed Table of Contents, Which We Encourage You to Browse
Cambridge University Press 978-1-107-00217-3 - Quantum Computation and Quantum Information: 10th Anniversary Edition Michael A. Nielsen & Isaac L. Chuang Frontmatter More information Quantum Computation and Quantum Information 10th Anniversary Edition One of the most cited books in physics of all time, Quantum Computation and Quantum Information remains the best textbook in this exciting field of science. This 10th Anniversary Edition includes a new Introduction and Afterword from the authors setting the work in context. This comprehensive textbook describes such remarkable effects as fast quantum algorithms, quantum teleportation, quantum cryptography, and quantum error-correction. Quantum mechanics and computer science are introduced, before moving on to describe what a quantum computer is, how it can be used to solve problems faster than “classical” computers, and its real-world implementation. It concludes with an in-depth treatment of quantum information. Containing a wealth of figures and exercises, this well-known textbook is ideal for courses on the subject, and will interest beginning graduate students and researchers in physics, computer science, mathematics, and electrical engineering. MICHAEL NIELSEN was educated at the University of Queensland, and as a Fulbright Scholar at the University of New Mexico. He worked at Los Alamos National Laboratory, as the Richard Chace Tolman Fellow at Caltech, was Foundation Professor of Quantum Information Science and a Federation Fellow at the University of Queensland, and a Senior Faculty Member at the Perimeter Institute for Theoretical Physics. He left Perimeter Institute to write a book about open science and now lives in Toronto. ISAAC CHUANG is a Professor at the Massachusetts Institute of Technology, jointly appointed in Electrical Engineering & Computer Science, and in Physics. -
Tensor Network State Methods and Applications for Strongly Correlated Quantum Many-Body Systems
Bildquelle: Universität Innsbruck Tensor Network State Methods and Applications for Strongly Correlated Quantum Many-Body Systems Dissertation zur Erlangung des akademischen Grades Doctor of Philosophy (Ph. D.) eingereicht von Michael Rader, M. Sc. betreut durch Univ.-Prof. Dr. Andreas M. Läuchli an der Fakultät für Mathematik, Informatik und Physik der Universität Innsbruck April 2020 Zusammenfassung Quanten-Vielteilchen-Systeme sind faszinierend: Aufgrund starker Korrelationen, die in die- sen Systemen entstehen können, sind sie für eine Vielzahl an Phänomenen verantwortlich, darunter Hochtemperatur-Supraleitung, den fraktionalen Quanten-Hall-Effekt und Quanten- Spin-Flüssigkeiten. Die numerische Behandlung stark korrelierter Systeme ist aufgrund ih- rer Vielteilchen-Natur und der Hilbertraum-Dimension, die exponentiell mit der Systemgröße wächst, extrem herausfordernd. Tensor-Netzwerk-Zustände sind eine umfangreiche Familie von variationellen Wellenfunktionen, die in der Physik der kondensierten Materie verwendet werden, um dieser Herausforderung zu begegnen. Das allgemeine Ziel dieser Dissertation ist es, Tensor-Netzwerk-Algorithmen auf dem neuesten Stand der Technik für ein- und zweidi- mensionale Systeme zu implementieren, diese sowohl konzeptionell als auch auf technischer Ebene zu verbessern und auf konkrete physikalische Systeme anzuwenden. In dieser Dissertation wird der Tensor-Netzwerk-Formalismus eingeführt und eine ausführ- liche Anleitung zu rechnergestützten Techniken gegeben. Besonderes Augenmerk wird dabei auf die Implementierung -
Continuous Tensor Network States for Quantum Fields
PHYSICAL REVIEW X 9, 021040 (2019) Featured in Physics Continuous Tensor Network States for Quantum Fields † Antoine Tilloy* and J. Ignacio Cirac Max-Planck-Institut für Quantenoptik, Hans-Kopfermann-Straße 1, 85748 Garching, Germany (Received 3 August 2018; revised manuscript received 12 February 2019; published 28 May 2019) We introduce a new class of states for bosonic quantum fields which extend tensor network states to the continuum and generalize continuous matrix product states to spatial dimensions d ≥ 2.By construction, they are Euclidean invariant and are genuine continuum limits of discrete tensor network states. Admitting both a functional integral and an operator representation, they share the important properties of their discrete counterparts: expressiveness, invariance under gauge transformations, simple rescaling flow, and compact expressions for the N-point functions of local observables. While we discuss mostly the continuous tensor network states extending projected entangled-pair states, we propose a generalization bearing similarities with the continuum multiscale entanglement renormal- ization ansatz. DOI: 10.1103/PhysRevX.9.021040 Subject Areas: Particles and Fields, Quantum Physics, Strongly Correlated Materials I. INTRODUCTION and have helped describe and classify their physical proper- ties. By design, their entanglement obeys the area law Tensor network states (TNSs) provide an efficient para- [17–19], which is a fundamental property of low-energy metrization of physically relevant many-body wave func- states of systems with local interactions. They enable a tions on the lattice [1,2]. Obtained from a contraction of succinct classification of symmetry-protected [20–23] and low-rank tensors on so-called virtual indices, they eco- topological phases of matter [24,25]. -
{Dоwnlоаd/Rеаd PDF Bооk} Entangled Kindle
ENTANGLED PDF, EPUB, EBOOK Cat Clarke | 256 pages | 06 Jan 2011 | Hachette Children's Group | 9781849163941 | English | London, United Kingdom Entangled PDF Book A Trick of the Tail is the seventh studio album by English progressive rock band Genesis. Why the Name Entangled? Shor, John A. Annals of Physics. Bibcode : arXiv The Living Years. Suhail Bennett, David P. Part of a series on. Examples of entanglement in a Sentence his life is greatly complicated by his romantic entanglements. Take the quiz Forms of Government Quiz Name that government! These four pure states are all maximally entangled according to the entropy of entanglement and form an orthonormal basis linear algebra of the Hilbert space of the two qubits. The researchers used a single source of photon pairs that had been entangle d, which means their quantum states are intrinsically linked and any change or measurement of one is mirrored in the other. For example, an interaction between a qubit of A and a qubit of B can be realized by first teleporting A's qubit to B, then letting it interact with B's qubit which is now a LOCC operation, since both qubits are in B's lab and then teleporting the qubit back to A. Looking for some great streaming picks? In earlier tests, it couldn't be absolutely ruled out that the test result at one point could have been subtly transmitted to the remote point, affecting the outcome at the second location. Thesis University of California at Berkeley, The Hilbert space of the composite system is the tensor product. -
Numerical Continuum Tensor Networks in Two Dimensions
PHYSICAL REVIEW RESEARCH 3, 023057 (2021) Numerical continuum tensor networks in two dimensions Reza Haghshenas ,* Zhi-Hao Cui , and Garnet Kin-Lic Chan† Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, USA (Received 31 August 2020; accepted 31 March 2021; published 19 April 2021) We describe the use of tensor networks to numerically determine wave functions of interacting two- dimensional fermionic models in the continuum limit. We use two different tensor network states: one based on the numerical continuum limit of fermionic projected entangled pair states obtained via a tensor network for- mulation of multigrid and another based on the combination of the fermionic projected entangled pair state with layers of isometric coarse-graining transformations. We first benchmark our approach on the two-dimensional free Fermi gas then proceed to study the two-dimensional interacting Fermi gas with an attractive interaction in the unitary limit, using tensor networks on grids with up to 1000 sites. DOI: 10.1103/PhysRevResearch.3.023057 I. INTRODUCTION and there have been many developments to extend the range of the techniques, for example to long-range Hamiltoni- Understanding the collective behavior of quantum many- ans [15–17], thermal states [18], and real-time dynamics [19]. body systems is a central theme in physics. While it is often Also, much work has been devoted to improving the numeri- discussed using lattice models, there are systems where a cal efficiency and stability of PEPS computations [20–24]. continuum description is essential. One such case is found Formulating tensor network states and the associated algo- in superfluids [1], where recent progress in precise experi- rithms in the continuum remains a challenge. -
Quantifying Bell Nonlocality with the Trace Distance
PHYSICAL REVIEW A 97, 022111 (2018) Quantifying Bell nonlocality with the trace distance S. G. A. Brito,1 B. Amaral,1,2 and R. Chaves1 1International Institute of Physics, Federal University of Rio Grande do Norte, 59078-970, P. O. Box 1613, Natal, Brazil 2Departamento de Física e Matemática, CAP - Universidade Federal de São João del-Rei, 36.420-000, Ouro Branco, MG, Brazil (Received 15 September 2017; published 21 February 2018) Measurements performed on distant parts of an entangled quantum state can generate correlations incompatible with classical theories respecting the assumption of local causality. This is the phenomenon known as quantum nonlocality that, apart from its fundamental role, can also be put to practical use in applications such as cryptography and distributed computing. Clearly, developing ways of quantifying nonlocality is an important primitive in this scenario. Here, we propose to quantify the nonlocality of a given probability distribution via its trace distance to the set of classical correlations. We show that this measure is a monotone under the free operations of a resource theory and, furthermore, that it can be computed efficiently with a linear program. We put our framework to use in a variety of relevant Bell scenarios also comparing the trace distance to other standard measures in the literature. DOI: 10.1103/PhysRevA.97.022111 I. INTRODUCTION it can stand before becoming local. Interestingly, these two measures can be inversely related as demonstrated by the With the establishment of quantum information science, the fact that in the Clauser-Horne-Shimony-Holt (CHSH) scenario often-called counterintuitive features of quantum mechanics [28], the resistance against detection inefficiency increases as such as entanglement [1] and nonlocality [2] have been we decrease the entanglement of the state [13] (also reducing raised to the status of a physical resource that can be used the violation the of CHSH inequality). -
Simulating Quantum Computation by Contracting Tensor Networks Abstract
Simulating quantum computation by contracting tensor networks Igor Markov1 and Yaoyun Shi2 Department of Electrical Engineering and Computer Science The University of Michigan 2260 Hayward Street Ann Arbor, MI 48109-2121, USA E-mail: imarkov shiyy @eecs.umich.edu f j g Abstract The treewidth of a graph is a useful combinatorial measure of how close the graph is to a tree. We prove that a quantum circuit with T gates whose underlying graph has treewidth d can be simulated deterministically in T O(1) exp[O(d)] time, which, in particular, is polynomial in T if d = O(logT). Among many implications, we show efficient simulations for quantum formulas, defined and studied by Yao (Proceedings of the 34th Annual Symposium on Foundations of Computer Science, 352–361, 1993), and for log-depth circuits whose gates apply to nearby qubits only, a natural constraint satisfied by most physical implementations. We also show that one-way quantum computation of Raussendorf and Briegel (Physical Review Letters, 86:5188– 5191, 2001), a universal quantum computation scheme with promising physical implementations, can be efficiently simulated by a randomized algorithm if its quantum resource is derived from a small-treewidth graph. Keywords: Quantum computation, computational complexity, treewidth, tensor network, classical simula- tion, one-way quantum computation. 1Supported in part by NSF 0208959, the DARPA QuIST program and the Air Force Research Laboratory. 2Supported in part by NSF 0323555, 0347078 and 0622033. 1 Introduction The recent interest in quantum circuits is motivated by several complementary considerations. Quantum information processing is rapidly becoming a reality as it allows manipulating matter at unprecedented scale. -
Many Electrons and the Photon Field the Many-Body Structure of Nonrelativistic Quantum Electrodynamics
Many Electrons and the Photon Field The many-body structure of nonrelativistic quantum electrodynamics vorgelegt von M. Sc. Florian Konrad Friedrich Buchholz ORCID: 0000-0002-9410-4892 an der Fakultät II – Mathematik und Naturwissenschaften der Technischen Universität Berlin zur Erlangung des akademischen Grades DOKTOR DER NATURWISSENSCHAFTEN Dr.rer.nat. genehmigte Dissertation PROMOTIONSAUSSCHUSS: Vorsitzende: Prof. Dr. Ulrike Woggon Gutachter: Prof. Dr. Andreas Knorr Gutachter: Dr. Michael Ruggenthaler Gutachter: Prof. Dr. Angel Rubio Gutachter: Prof. Dr. Dieter Bauer Tag der wissenschaftlichen Aussprache: 24. November 2020 Berlin 2021 ACKNOWLEDGEMENTS The here presented work is the result of a long process that naturally involved many different people. They all contributed importantly to it, though in more or less explicit ways. First of all, I want to express my gratitude to Chiara, all my friends and my (German and Italian) family. Thank you for being there! Next, I want to name Michael Ruggenthaler, who did not only supervise me over many years, contribut- ing crucially to the here presented research, but also has become a dear friend. I cannot imagine how my time as a PhD candidate would have been without you! In the same breath, I want to thank Iris Theophilou, who saved me so many times from despair over non-converging codes and other difficult moments. Also without you, my PhD would not have been the same. Then, I thank Angel Rubio for his supervision and for making possible my unforgettable and formative time at the Max-Planck Institute for the Structure and Dynamics of Matter. There are few people who have the gift to make others feel so excited about physics, as Angel does. -
Arxiv:2102.13630V1 [Quant-Ph] 26 Feb 2021
Randomness Amplification under Simulated PT -symmetric Evolution Leela Ganesh Chandra Lakkaraju1, Shiladitya Mal1,2, Aditi Sen(De)1 1 Harish-Chandra Research Institute and HBNI, Chhatnag Road, Jhunsi, Allahabad - 211019, India 2 Department of Physics and Center for Quantum Frontiers of Research and Technology (QFort), National Cheng Kung University, Tainan 701, Taiwan PT -symmetric quantum theory does not require the Hermiticity property of observables and hence allows a rich class of dynamics. Based on PT -symmetric quantum theory, various counter- intuitive phenomena like faster evolution than that allowed in standard quantum mechanics, single- shot discrimination of nonorthogonal states has been reported invoking Gedanken experiments. By exploiting open-system experimental set-up as well as by computing the probability of distinguish- ing two states, we prove here that if a source produces an entangled state shared between two parties, Alice and Bob, situated in a far-apart location, the information about the operations performed by Alice whose subsystem evolves according to PT -symmetric Hamiltonian can be gathered by Bob, if the density matrix is in complex Hilbert space. Employing quantum simulation of PT -symmetric evolution, feasible with currently available technologies, we also propose a scheme of sharing quan- tum random bit-string between two parties when one of them has access to a source generating pseudo-random numbers. We find evidences that the task becomes more efficient with the increase of dimension. I. INTRODUCTION shown to be violated in the Gedanken experimental set-up [27]. Violation of these fundamentally signif- Among the postulates of quantum mechanics, the re- icant no-go theorems have deep consequences in the quirement of the Hermiticity property for the observ- verification of the viability of quantum theory. -
Entanglement Structures in Qubit Systems Arxiv:1505.03696V3 [Hep-Th]
Prepared for submission to JHEP DCPT-15/27 Entanglement structures in qubit systems Mukund Rangamani, Massimiliano Rota Centre for Particle Theory & Department of Mathematical Sciences, Durham University, South Road, Durham DH1 3LE, UK. E-mail: [email protected], [email protected] Abstract: Using measures of entanglement such as negativity and tangles we pro- vide a detailed analysis of entanglement structures in pure states of non-interacting qubits. The motivation for this exercise primarily comes from holographic considera- tions, where entanglement is inextricably linked with the emergence of geometry. We use the qubit systems as toy models to probe the internal structure, and introduce some useful measures involving entanglement negativity to quantify general features of entanglement. In particular, our analysis focuses on various constraints on the pat- tern of entanglement which are known to be satisfied by holographic sates, such as the saturation of Araki-Lieb inequality (in certain circumstances), and the monogamy of mutual information. We argue that even systems as simple as few non-interacting qubits can be useful laboratories to explore how the emergence of the bulk geometry may be related to quantum information principles. arXiv:1505.03696v3 [hep-th] 27 Aug 2015 Contents 1 Introduction1 2 Measures of entanglement6 2.1 Bipartite entanglement6 2.2 Multipartite entanglement 10 2.3 Notation 12 3 Warm up: Three qubits 14 4 Four qubits 17 4.1 Generic states of 4 qubits 18 4.1.1 Monogamy of the negativity and disentangling theorem 19 4.1.2 Negativity to entanglement ratio 21 4.1.3 Monogamy of mutual information 25 4.2 SLOCC classification of 4 qubit states 26 5 Large N qubit systems 34 5.1 Negativity versus entanglement 35 5.2 Exploring multipartite entanglement 39 6 Discussion: Lessons for holography 41 A Four qubit states: Detailed analysis of SLOCC classes 47 1 Introduction One of the key features distinguishing quantum mechanics is the presence of entan- glement which is a natural consequence of the superposition principle.