Randomness for Quantum Information Processing Rawad Mezher
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Programm 5 Layout 1
SPONSORS Pauli Center for Theoretical Studies QAP European Project PAULI CENTER for Theoretical Studies Sandia National Laboratories The Swiss National Science Foundation Institute for Quantum Computing ETH Zurich (Computer Science and Physics Department) id Quantique Quantum Science and Technology (ETH) CQT Singapore VENUE W-LAN ETH Zürich, Rämistrasse 101, CH-8092 Zürich 1. Check available WLAN’s Main building / Hauptgebäude 2. Connect to WLAN „public“ Conference Helpline 0041 (0)79 770 84 29 3. Open browser 4.Login at welcome page with Login: qip2010 Password: 2010qipconf Main entrance FLOOR E Registration/Information desk Poster session Computer room E 26.3 Main entrance Registration desk Information Computer room E 26.3 Poster session 1 FLOOR E. 0 Poster session FLOOR F Auditorium F 5: Tutorial (January 15 – 17, 2010) Auditorium maximum F 30: Scientific programme (January 18 – 22, 2010) F 33.1: Congress-Office, F 33.2: Cloak room Foyer and “Uhrenhalle”: Coffee breaks, Poster session Auditorium Maximum F 30 Scientific programmme January 18 – 22, 2010 F 33.1: Congress-Office Foyer: F 33.2 Cloak room Coffee breaks Poster session Auditorium F 5 Tutorial January 15 – 17, 2010 Uhrenhalle: Coffee breaks 2 RUMP SESSION StuZ, ETH Zürich, Universitätsstrasse 6, CH-8092 Zürich CAB Building room No. CAB F21 to CAB F27 18.30 – 23.00 h (January 20, 2010) Entry ETH CAB Building ETH Main Building 3 CONFERENCE DINNER Thursday, January 21, 2010, 19.00h Restaurant Lake Side Bellerivestrasse 170 CH-8008 Zürich Phone: +41 (0) 44 385 86 00 Directions from ETH main building • (Tram No. 9 to “Bellevue” (direction “Triemli”). -
Using Graph States for Quantum Computation and Communication
Using Graph States for Quantum Computation and Communication Thesis by Kovid Goyal In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy California Institute of Technology Pasadena, California 2009 (Submitted May 27, 2009) ii c 2009 Kovid Goyal All Rights Reserved iii To Dr. Ajay Patwardhan, for inspiring a whole generation of physicists. iv Acknowledgements I would like to start by acknowledging my thesis adviser, John Preskill, for giving me the freedom to pursue my interests and for setting a very high standard for me to aspire to. John has also provided the direction I needed at critical points in my career. I would like to thank Robert Raussendorf for sharing a lot of his ideas with me and patiently explaining them when needed. Most of the great ideas in Chapter 2 were orig- inated by him. Robert has been a mentor and a guide. I would like to thank Jim Harrington for introducing me to the numerical techniques needed for the analysis of the measurement based quantum computer and for writing relatively clear and easy to follow code. I would like to thank Austin Fowler for asking me a lot of questions and thereby greatly improving the clarity and depth of my understanding. Austin also inspired me to make this work as clear and easy to follow as possible. The magic state distillation circuit diagrams and the CNOT gate construction in Chapter 2 are his. I would like to thank Ben Toner, Panos Aliferis, Greg Ver Steeg and Prabha Mandayam Dodamanne for many stimulating discussions. I would like to thank my parents, Ashima and Niraj, for supporting my desire to be- come a physicist and for providing me with a stimulating and enjoyable childhood. -
Quantum Inductive Learning and Quantum Logic Synthesis
Portland State University PDXScholar Dissertations and Theses Dissertations and Theses 2009 Quantum Inductive Learning and Quantum Logic Synthesis Martin Lukac Portland State University Follow this and additional works at: https://pdxscholar.library.pdx.edu/open_access_etds Part of the Electrical and Computer Engineering Commons Let us know how access to this document benefits ou.y Recommended Citation Lukac, Martin, "Quantum Inductive Learning and Quantum Logic Synthesis" (2009). Dissertations and Theses. Paper 2319. https://doi.org/10.15760/etd.2316 This Dissertation is brought to you for free and open access. It has been accepted for inclusion in Dissertations and Theses by an authorized administrator of PDXScholar. For more information, please contact [email protected]. QUANTUM INDUCTIVE LEARNING AND QUANTUM LOGIC SYNTHESIS by MARTIN LUKAC A dissertation submitted in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY in ELECTRICAL AND COMPUTER ENGINEERING. Portland State University 2009 DISSERTATION APPROVAL The abstract and dissertation of Martin Lukac for the Doctor of Philosophy in Electrical and Computer Engineering were presented January 9, 2009, and accepted by the dissertation committee and the doctoral program. COMMITTEE APPROVALS: Irek Perkowski, Chair GarrisoH-Xireenwood -George ^Lendaris 5artM ?teven Bleiler Representative of the Office of Graduate Studies DOCTORAL PROGRAM APPROVAL: Malgorza /ska-Jeske7~Director Electrical Computer Engineering Ph.D. Program ABSTRACT An abstract of the dissertation of Martin Lukac for the Doctor of Philosophy in Electrical and Computer Engineering presented January 9, 2009. Title: Quantum Inductive Learning and Quantum Logic Synhesis Since Quantum Computer is almost realizable on large scale and Quantum Technology is one of the main solutions to the Moore Limit, Quantum Logic Synthesis (QLS) has become a required theory and tool for designing Quantum Logic Circuits. -
Arxiv:Quant-Ph/0002039V2 1 Aug 2000
Methodology for quantum logic gate construction 1,2 3,2 2 Xinlan Zhou ∗, Debbie W. Leung †, and Isaac L. Chuang ‡ 1 Department of Applied Physics, Stanford University, Stanford, California 94305-4090 2 IBM Almaden Research Center, 650 Harry Road, San Jose, California 95120 3 Quantum Entanglement Project, ICORP, JST Edward Ginzton Laboratory, Stanford University, Stanford, California 94305-4085 (October 29, 2018) We present a general method to construct fault-tolerant quantum logic gates with a simple primitive, which is an analog of quantum teleportation. The technique extends previous results based on traditional quantum teleportation (Gottesman and Chuang, Nature 402, 390, 1999) and leads to straightforward and systematic construction of many fault-tolerant encoded operations, including the π/8 and Toffoli gates. The technique can also be applied to the construction of remote quantum operations that cannot be directly performed. I. INTRODUCTION Practical realization of quantum information processing requires specific types of quantum operations that may be difficult to construct. In particular, to perform quantum computation robustly in the presence of noise, one needs fault-tolerant implementation of quantum gates acting on states that are block-encoded using quantum error correcting codes [1–4]. Fault-tolerant quantum gates must prevent propagation of single qubit errors to multiple qubits within any code block so that small correctable errors will not grow to exceed the correction capability of the code. This requirement greatly restricts the types of unitary operations that can be performed on the encoded qubits. Certain fault-tolerant operations can be implemented easily by performing direct transversal operations on the encoded qubits, in which each qubit in a block interacts only with one corresponding qubit, either in another block or in a specialized ancilla. -
Fault-Tolerant Interface Between Quantum Memories and Quantum Processors
ARTICLE DOI: 10.1038/s41467-017-01418-2 OPEN Fault-tolerant interface between quantum memories and quantum processors Hendrik Poulsen Nautrup 1, Nicolai Friis 1,2 & Hans J. Briegel1 Topological error correction codes are promising candidates to protect quantum computa- tions from the deteriorating effects of noise. While some codes provide high noise thresholds suitable for robust quantum memories, others allow straightforward gate implementation 1234567890 needed for data processing. To exploit the particular advantages of different topological codes for fault-tolerant quantum computation, it is necessary to be able to switch between them. Here we propose a practical solution, subsystem lattice surgery, which requires only two-body nearest-neighbor interactions in a fixed layout in addition to the indispensable error correction. This method can be used for the fault-tolerant transfer of quantum information between arbitrary topological subsystem codes in two dimensions and beyond. In particular, it can be employed to create a simple interface, a quantum bus, between noise resilient surface code memories and flexible color code processors. 1 Institute for Theoretical Physics, University of Innsbruck, Technikerstr. 21a, 6020 Innsbruck, Austria. 2 Institute for Quantum Optics and Quantum Information, Austrian Academy of Sciences, Boltzmanngasse 3, 1090 Vienna, Austria. Correspondence and requests for materials should be addressed to H.P.N. (email: [email protected]) NATURE COMMUNICATIONS | 8: 1321 | DOI: 10.1038/s41467-017-01418-2 | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/s41467-017-01418-2 oise and decoherence can be considered as the major encoding k = n − s qubits. We denote the normalizer of S by Nobstacles for large-scale quantum information processing. -
Booklet of Abstracts
Booklet of abstracts Thomas Vidick California Institute of Technology Tsirelson's problem and MIP*=RE Boris Tsirelson in 1993 implicitly posed "Tsirelson's Problem", a question about the possible equivalence between two different ways of modeling locality, and hence entanglement, in quantum mechanics. Tsirelson's Problem gained prominence through work of Fritz, Navascues et al., and Ozawa a decade ago that establishes its equivalence to the famous "Connes' Embedding Problem" in the theory of von Neumann algebras. Recently we gave a negative answer to Tsirelson's Problem and Connes' Embedding Problem by proving a seemingly stronger result in quantum complexity theory. This result is summarized in the equation MIP* = RE between two complexity classes. In the talk I will present and motivate Tsirelson's problem, and outline its connection to Connes' Embedding Problem. I will then explain the connection to quantum complexity theory and show how ideas developed in the past two decades in the study of classical and quantum interactive proof systems led to the characterization (which I will explain) MIP* = RE and the negative resolution of Tsirelson's Problem. Based on joint work with Ji, Natarajan, Wright and Yuen available at arXiv:2001.04383. Joonho Lee, Dominic Berry, Craig Gidney, William Huggins, Jarrod McClean, Nathan Wiebe and Ryan Babbush Columbia University | Macquarie University | Google | Google Research | Google | University of Washington | Google Efficient quantum computation of chemistry through tensor hypercontraction We show how to achieve the highest efficiency yet for simulations with arbitrary basis sets by using a representation of the Coulomb operator known as tensor hypercontraction (THC). We use THC to express the Coulomb operator in a non-orthogonal basis, which we are able to block encode by separately rotating each term with angles that are obtained via QROM. -
Realization of the Quantum Toffoli Gate
Realization of the quantum Toffoli gate Realization of the quantum Toffoli gate Based on: Monz, T; Kim, K; Haensel, W; et al Realization of the quantum Toffoli gate with trapped ions Phys. Rev. Lett. 102, 040501 (2009) Lanyon, BP; Barbieri, M; Almeida, MP; et al. Simplifying quantum logic using higher dimensional Hilbert spaces Nat. Phys. 5, 134 (2009) Realization of the quantum Toffoli gate Outline 1. Motivation 2. Principles of the quantum Toffoli gate 3. Implementation with trapped ions 4. Implementation with photons 5. Comparison and conclusion 6. Summary 6. Dezember 2010 Jakob Buhmann Jeffrey Gehrig 1 Realization of the quantum Toffoli gate 1. Motivation • Universal quantum logic gate sets are needed to implement algorithms • Implementation of algorithms is difficult due to the finite fidelity and large amount of gates • Use of other degrees of freedom to store information • Reduction of complexity and runtime 6. Dezember 2010 Jakob Buhmann Jeffrey Gehrig 2 Realization of the quantum Toffoli gate 2. Principles of the Toffoli gate • Three-qubit gate (C1, C2, T) • Logic flip of T depending on (C1 AND C2) Truth table Matrix form Input Output C1 C2 T C1 C2 T 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0 0 1 0 0 1 1 0 1 1 1 0 0 1 0 0 1 0 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 0 6. Dezember 2010 Jakob Buhmann Jeffrey Gehrig 3 Realization of the quantum Toffoli gate 2. Principles of the Toffoli gate • Qubit Implementation • Qutrit Implementation Qutrit states: and 6. -
1 Objectives of the Workshop 2 Open Problem Discussion
Final Report: BIRS Workshop 16w5029 Quantum Computer Science April 17–22, 2016 Co-organizers: Michele Mosca, Martin Roetteler, and Peter Selinger 1 Objectives of the workshop Shor’s famous quantum algorithms for integer factoring and to compute discrete logarithms helped to kick-start the field of quantum computing. A topic that has received significantly less attention is that of actually translating quantum algorithms into elementary instructions that can then be carried out on a future large-scale quantum computer. This leads to questions about automation of the translation process, a question that gives rise to several challenges that arise naturally from there, for instance: how to program a quantum computer? How to model the underlying instructions? How to compile and optimize code that has been written in a high level of abstraction? This interdisciplinary workshop aimed at making progress on these questions and brought to- gether over 40 researchers from a diverse set of research communities: those working in quan- tum computing, and those working on the mathematical foundations of programming languages and their implementations. We anticipate a vibrant exchange of novel ideas, to tackle important problems such as the optimization of large-scale quantum algorithms, and their synthesis into the instruction set of a fault-tolerant quantum computer. On the first day there was a very lively open problems debate, a summary of which is provided in this report. The problems ranged from big challenges that likely will remain open for some time, to concrete problems, some of which were tackled during the workshop. Besides the open problem discussion and a plethora of talks on recent topics of interests, salient features of the workshop were various software demo sessions in which some of the participants performed live demos of their software programs, and two tutorials about quantum programming languages. -
Machine Learning for Designing Fast Quantum Gates
University of Calgary PRISM: University of Calgary's Digital Repository Graduate Studies The Vault: Electronic Theses and Dissertations 2016-01-26 Machine Learning for Designing Fast Quantum Gates Zahedinejad, Ehsan Zahedinejad, E. (2016). Machine Learning for Designing Fast Quantum Gates (Unpublished doctoral thesis). University of Calgary, Calgary, AB. doi:10.11575/PRISM/26805 http://hdl.handle.net/11023/2780 doctoral thesis University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. Downloaded from PRISM: https://prism.ucalgary.ca UNIVERSITY OF CALGARY Machine Learning for Designing Fast Quantum Gates by Ehsan Zahedinejad A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY GRADUATE PROGRAM IN PHYSICS AND ASTRONOMY CALGARY, ALBERTA January, 2016 c Ehsan Zahedinejad 2016 Abstract Fault-tolerant quantum computing requires encoding the quantum information into logical qubits and performing the quantum information processing in a code-space. Quantum error correction codes, then, can be employed to diagnose and remove the possible errors in the quantum information, thereby avoiding the loss of information. Although a series of single- and two-qubit gates can be employed to construct a quan- tum error correcting circuit, however this decomposition approach is not practically desirable because it leads to circuits with long operation times. An alternative ap- proach to designing a fast quantum circuit is to design quantum gates that act on a multi-qubit gate. -
A Practical Phase Gate for Producing Bell Violations in Majorana Wires
PHYSICAL REVIEW X 6, 021005 (2016) A Practical Phase Gate for Producing Bell Violations in Majorana Wires David J. Clarke, Jay D. Sau, and Sankar Das Sarma Department of Physics, Condensed Matter Theory Center, University of Maryland, College Park, Maryland 20742, USA and Joint Quantum Institute, University of Maryland, College Park, Maryland 20742, USA (Received 9 October 2015; published 8 April 2016) Carrying out fault-tolerant topological quantum computation using non-Abelian anyons (e.g., Majorana zero modes) is currently an important goal of worldwide experimental efforts. However, the Gottesman- Knill theorem [1] holds that if a system can only perform a certain subset of available quantum operations (i.e., operations from the Clifford group) in addition to the preparation and detection of qubit states in the computational basis, then that system is insufficient for universal quantum computation. Indeed, any measurement results in such a system could be reproduced within a local hidden variable theory, so there is no need for a quantum-mechanical explanation and therefore no possibility of quantum speedup [2]. Unfortunately, Clifford operations are precisely the ones available through braiding and measurement in systems supporting non-Abelian Majorana zero modes, which are otherwise an excellent candidate for topologically protected quantum computation. In order to move beyond the classically simulable subspace, an additional phase gate is required. This phase gate allows the system to violate the Bell-like Clauser- Horne-Shimony-Holt (CHSH) inequality that would constrain a local hidden variable theory. In this article, we introduce a new type of phase gate for the already-existing semiconductor-based Majorana wire systems and demonstrate how this phase gate may be benchmarked using CHSH measurements. -
Limitations on Transversal Computation Through Quantum
Limitations on Transversal Computation through Quantum Homomorphic Encryption Michael Newman1 and Yaoyun Shi2 1Department of Mathematics 2Department of Electrical Engineering and Computer Science University of Michigan, Ann Arbor, MI 48109, USA [email protected], [email protected] Abstract Transversality is a simple and effective method for implementing quantum computation fault- tolerantly. However, no quantum error-correcting code (QECC) can transversally implement a quantum universal gate set (Eastin and Knill, Phys. Rev. Lett., 102, 110502). Since reversible classical computation is often a dominating part of useful quantum computation, whether or not it can be implemented transversally is an important open problem. We show that, other than a small set of non-additive codes that we cannot rule out, no binary QECC can transversally implement a classical reversible universal gate set. In particular, no such QECC can implement the Toffoli gate transversally. We prove our result by constructing an information theoretically secure (but inefficient) quan- tum homomorphic encryption (ITS-QHE) scheme inspired by Ouyang et al. (arXiv:1508.00938). Homomorphic encryption allows the implementation of certain functions directly on encrypted data, i.e. homomorphically. Our scheme builds on almost any QECC, and implements that code’s transversal gate set homomorphically. We observe a restriction imposed by Nayak’s bound (FOCS 1999) on ITS-QHE, implying that any ITS quantum fully homomorphic scheme (ITS-QFHE) implementing the full set of classical reversible functions must be highly ineffi- cient. While our scheme incurs exponential overhead, any such QECC implementing Toffoli transversally would still violate this lower bound through our scheme. arXiv:1704.07798v3 [quant-ph] 13 Aug 2017 1 Introduction 1.1 Restrictions on transversal gates Transversal gates are surprisingly ubiquitous objects, finding applications in quantum cryptography [29], [25], quantum complexity theory [11], and of course quantum fault-tolerance. -
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.