Your browser doesn't support javascript.
loading
QuEST and High Performance Simulation of Quantum Computers.
Jones, Tyson; Brown, Anna; Bush, Ian; Benjamin, Simon C.
Afiliação
  • Jones T; Department of Materials, University of Oxford, Parks Road, Oxford, OX1 3PH, United Kingdom. tyson.jones@materials.ox.ac.uk.
  • Brown A; Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Keble Road, Oxford, OX1 3PH, United Kingdom.
  • Bush I; Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Keble Road, Oxford, OX1 3PH, United Kingdom.
  • Benjamin SC; Department of Materials, University of Oxford, Parks Road, Oxford, OX1 3PH, United Kingdom.
Sci Rep ; 9(1): 10736, 2019 Jul 24.
Article em En | MEDLINE | ID: mdl-31341200
We introduce QuEST, the Quantum Exact Simulation Toolkit, and compare it to ProjectQ, qHipster and a recent distributed implementation of Quantum++. QuEST is the first open source, hybrid multithreaded and distributed, GPU accelerated simulator of universal quantum circuits. Embodied as a C library, it is designed so that a user's code can be deployed seamlessly to any platform from a laptop to a supercomputer. QuEST is capable of simulating generic quantum circuits of general one and two-qubit gates and multi-qubit controlled gates, on pure and mixed states, represented as state-vectors and density matrices, and under the presence of decoherence. Using the ARCUS and ARCHER supercomputers, we benchmark QuEST's simulation of random circuits of up to 38 qubits, distributed over up to 2048 compute nodes, each with up to 24 cores. We directly compare QuEST's performance to ProjectQ's on single machines, and discuss the differences in distribution strategies of QuEST, qHipster and Quantum++. QuEST shows excellent scaling, both strong and weak, on multicore and distributed architectures.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article