Quantum Computing
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Empirical Evaluation of Circuit Approximations on NISQ Devices
Empirical Evaluation of Circuit Approximations on Noisy Quantum Devices Ellis Wilson Frank Mueller North Carolina State University North Carolina State University [email protected] [email protected] Lindsay Bassman Costin Iancu Lawrence Berkeley National Lab Lawrence Berkeley National Lab [email protected] [email protected] ABSTRACT are fraught by a multitude of device, systemic, and environmental Noisy Intermediate-Scale Quantum (NISQ) devices fail to produce sources of noise that adversely affect results of computations [1]. A outputs with sufficient fidelity for deep circuits with many gates number of factors contribute to noise, or errors, experienced during today. Such devices suffer from read-out, multi-qubit gate and cross- the execution of a quantum program. These include talk noise combined with short decoherence times limiting circuit • noise related to limits on qubit excitation time and program depth. This work develops a methodology to generate shorter cir- runtime due to decoherence; cuits with fewer multi-qubit gates whose unitary transformations • noise related to operations, i.e., gates performing transfor- approximate the original reference one. It explores the benefit of mations on the states of one or more qubits; such generated approximations under NISQ devices. Experimen- • noise related to interference from (crosstalk with) other tal results with Grover’s algorithm, multiple-control Toffoli gates, qubits; and and the Transverse Field Ising Model show that such approximate • noise subject to the process of measuring the state of a qubit circuits produce higher fidelity results than longer, theoretically via a detector when producing a program’s output. precise circuits on NISQ devices, especially when the reference circuits have many CNOT gates to begin with. -
Analysis on Quantum Computation with a Special Emphasis on Empirical Simulation of Quantum Algorithms
CALIFORNIA STATE UNIVERSITY, NORTHRIDGE ANALYSIS ON QUANTUM COMPUTATION WITH A SPECIAL EMPHASIS ON EMPIRICAL SIMULATION OF QUANTUM ALGORITHMS A thesis submitted in partial fulfilment of the requirements for the degree of Master of Science in Computer Science By ARINDAM MISHRA MAY 2020 ©Copyright by ARINDAM MISHRA, 2020 All Rights Reserved ii The thesis of Arindam Mishra is approved: ___________________________________________ ________________ Katya Mkrtchyan, Ph.D. Date ___________________________________________ ________________ Robert D McIlhenny, Ph.D. Date ___________________________________________ ________________ John Noga, Ph.D., Chair Date California State University, Northridge iii DEDICATION I dedicate this paper to my grandmother Shivani Mishra, my parents Milan and Deepali Mishra, my uncle and aunt Kalyan and Chitra Mishra, and my two sweet sisters Ishani and Aishwarya Mishra, with my gratitude for their support and motivations throughout my life. iv Table of Contents COPYRIGHT ii DEDICATION ....................................................................................................................................... iv LIST OF TABLES ................................................................................................................................ vii LIST OF FIGURES ............................................................................................................................. viii ABSTRACT .......................................................................................................................................... -
Strategic Quantum Ancilla Reuse for Modular Quantum Programs Via Cost-Effective Uncomputation
SQUARE: Strategic Quantum Ancilla Reuse for Modular Quantum Programs via Cost-Effective Uncomputation Yongshan Ding1, Xin-Chuan Wu1, Adam Holmes1,2, Ash Wiseth1, Diana Franklin1, Margaret Martonosi3, and Frederic T. Chong1 1Department of Computer Science, University of Chicago, Chicago, IL 60615, USA 2Intel Labs, Intel Corporation, Hillsboro, OR 97124, USA 3Department of Computer Science, Princeton University, Princeton, NJ 08544, USA Abstract—Compiling high-level quantum programs to ma- implemented to ensure operation fidelity is met for arbitrarily chines that are size constrained (i.e. limited number of quantum large computations. bits) and time constrained (i.e. limited number of quantum One major challenge, however, facing the QC community, is operations) is challenging. In this paper, we present SQUARE (Strategic QUantum Ancilla REuse), a compilation infrastructure the substantial resource gap between what quantum computer that tackles allocation and reclamation of scratch qubits (called hardware can offer and what quantum algorithms (for classi- ancilla) in modular quantum programs. At its core, SQUARE cally intractable problems) typically require. Space and time strategically performs uncomputation to create opportunities for resources in a quantum computer are extremely constrained. qubit reuse. Space is constrained in the sense that there will be a limited Current Noisy Intermediate-Scale Quantum (NISQ) computers and forward-looking Fault-Tolerant (FT) quantum computers number of qubits available, often further complicated by poor have fundamentally different constraints such as data local- connectivity between qubits. Time is also constrained because ity, instruction parallelism, and communication overhead. Our qubits suffer from decoherence noise and gate noise. Too heuristic-based ancilla-reuse algorithm balances these consider- many successive operations on qubits results in lower program ations and fits computations into resource-constrained NISQ or success rates. -
Arxiv:2003.01293V4 [Quant-Ph] 9 Apr 2021 Measurement [6] and a Quantum Volume [7] Measurement of 26 = 64
Demonstration of the trapped-ion quantum CCD computer architecture J. M. Pino,∗ J. M. Dreiling, C. Figgatt, J. P. Gaebler, S. A. Moses, M. S. Allman, C. H. Baldwin, M. Foss-Feig, D. Hayes, K. Mayer, C. Ryan-Anderson, and B. Neyenhuis Honeywell Quantum Solutions, 303 S. Technology Ct., Broomfield, Colorado 80021, USA The trapped-ion QCCD (quantum charge-coupled de- plex quantum algorithms. While small trapped-ion quan- vice) proposal [1,2] lays out a blueprint for a universal tum computers only require a single ion crystal in a single quantum computer. The proposal calls for a trap de- trapping region, this approach is unlikely to scale beyond vice to confine multiple arrays of ions, referred to as ion one hundred qubits [11]. Efforts have therefore focused crystals. Quantum interactions between ions in a sin- on architectures that use either a network of ion crystals gle crystal occur via electric- or magnetic-field induced connected through photonic links [12, 13] or physically spin-motion coupling. Interactions between ions initially transporting ions between different crystals [14, 15] and in different crystals are achieved by using precisely con- eventually even across trap modules [16]. In this article trolled electric fields to split the crystals, transport the we demonstrate progress towards the latter approach. ions to new locations, and then combine them to form The QCCD architecture aims to create a high fidelity, new crystals where the desired interactions are applied. scalable quantum computer, at the cost of some chal- High-fidelity physical transport is the key to two advan- lenging requirements: 1 { a device that can trap multi- tages of the QCCD architecture: high-fidelity interac- ple small ion crystals capable of high fidelity operations, tions between distant qubits and low crosstalk between 2 { fast transport operations for moving ions between gates. -
Towards a Quantum Computing Algorithm for Helicity Amplitudes and Parton Showers
PHYSICAL REVIEW D 103, 076020 (2021) Towards a quantum computing algorithm for helicity amplitudes and parton showers † ‡ Khadeejah Bepari ,1,* Sarah Malik ,2, Michael Spannowsky,1, and Simon Williams 2,§ 1Institute for Particle Physics Phenomenology, Department of Physics, Durham University, Durham DH1 3LE, United Kingdom 2High Energy Physics Group, Blackett Laboratory, Imperial College, Prince Consort Road, London SW7 2AZ, United Kingdom (Received 21 December 2020; accepted 18 March 2021; published 26 April 2021) The interpretation of measurements of high-energy particle collisions relies heavily on the performance of full event generators, which include 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 that 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 involved simultaneously, thus fully utilizing 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 implementa- tions, the quantum algorithm constructs a wave function 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. Both algorithms utilize the quantum computers ability to remain in a quantum state throughout the computation and represent a first step towards a quantum computing algorithm describing the full collision event at the LHC. -
Density Matrix Quantum Circuit Simulation Via the BSP Machine on Modern GPU Clusters
Industrial and Systems Engineering Density Matrix Quantum Circuit Simulation via the BSP Machine on Modern GPU Clusters ANG LI1,OMER SUBASI1,XIU YANG2, AND SRIRAM KRISHNAMOORTHY3 1Pacific Northwest National Laboratory (PNNL), Richland, WA, 99354, USA 2Department of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA, USA 3Washington State University, Pullman, WA, 99164, USA ISE Technical Report 20T-029 Density Matrix Quantum Circuit Simulation via the BSP Machine on Modern GPU Clusters † ‡ Ang Li∗, Omer Subasi∗, Xiu Yang∗ and Sriram Krishnamoorthy∗ ∗Pacific Northwest National Laboratory (PNNL), Richland, WA, 99354, USA †Lehigh University, Bethlehem, PA, 18015, USA ‡Washington State University, Pullman, WA, 99164, USA Email: [email protected], [email protected], [email protected], [email protected] ________ L Abstract—As quantum computers evolve, simulations of quan- j0 = 0 H H tum programs on classical computers will be essential in vali- | i | i • • • _____ ___ ______L __ dating quantum algorithms, understanding the effect of system j1 = 0 H S H noise, and designing applications for future quantum computers. | i | i • • _ ____ ___ ______L __ In this paper, we first propose a new multi-GPU programming j2 = 0 H T S H methodology called MG-BSP which constructs a virtual BSP | i | i • _ ____ ___ machine on top of modern multi-GPU platforms, and apply s this methodology to build a multi-GPU density matrix quantum 0 | i U 4 U 2 U simulator called DM-Sim. We propose a new formulation that s1 can significantly reduce communication overhead, and show | i that this formula transformation can conserve the semantics Fig.