Parallel quantum simulation of large systems on small NISQ computers
Abstract Tensor networks permit computational and entanglement resources to be concentrated in interesting regions of Hilbert space. Implemented on NISQ machines they allow simulation of quantum systems that are much larger than the computational machine itself. This is achieved by parallelising the...
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Nature Portfolio
2021
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oai:doaj.org-article:a910ed924cf84970b8feaf93fd283e2f2021-12-02T16:53:03ZParallel quantum simulation of large systems on small NISQ computers10.1038/s41534-021-00420-32056-6387https://doaj.org/article/a910ed924cf84970b8feaf93fd283e2f2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41534-021-00420-3https://doaj.org/toc/2056-6387Abstract Tensor networks permit computational and entanglement resources to be concentrated in interesting regions of Hilbert space. Implemented on NISQ machines they allow simulation of quantum systems that are much larger than the computational machine itself. This is achieved by parallelising the quantum simulation. Here, we demonstrate this in the simplest case; an infinite, translationally invariant quantum spin chain. We provide Cirq and Qiskit code that translates infinite, translationally invariant matrix product state (iMPS) algorithms to finite-depth quantum circuit machines, allowing the representation, optimisation and evolution of arbitrary one-dimensional systems. The illustrative simulated output of these codes for achievable circuit sizes is given.F. BarrattJames DborinMatthias BalVid StojevicFrank PollmannA. G. GreenNature PortfolioarticlePhysicsQC1-999Electronic computers. Computer scienceQA75.5-76.95ENnpj Quantum Information, Vol 7, Iss 1, Pp 1-7 (2021) |
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Physics QC1-999 Electronic computers. Computer science QA75.5-76.95 |
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Physics QC1-999 Electronic computers. Computer science QA75.5-76.95 F. Barratt James Dborin Matthias Bal Vid Stojevic Frank Pollmann A. G. Green Parallel quantum simulation of large systems on small NISQ computers |
description |
Abstract Tensor networks permit computational and entanglement resources to be concentrated in interesting regions of Hilbert space. Implemented on NISQ machines they allow simulation of quantum systems that are much larger than the computational machine itself. This is achieved by parallelising the quantum simulation. Here, we demonstrate this in the simplest case; an infinite, translationally invariant quantum spin chain. We provide Cirq and Qiskit code that translates infinite, translationally invariant matrix product state (iMPS) algorithms to finite-depth quantum circuit machines, allowing the representation, optimisation and evolution of arbitrary one-dimensional systems. The illustrative simulated output of these codes for achievable circuit sizes is given. |
format |
article |
author |
F. Barratt James Dborin Matthias Bal Vid Stojevic Frank Pollmann A. G. Green |
author_facet |
F. Barratt James Dborin Matthias Bal Vid Stojevic Frank Pollmann A. G. Green |
author_sort |
F. Barratt |
title |
Parallel quantum simulation of large systems on small NISQ computers |
title_short |
Parallel quantum simulation of large systems on small NISQ computers |
title_full |
Parallel quantum simulation of large systems on small NISQ computers |
title_fullStr |
Parallel quantum simulation of large systems on small NISQ computers |
title_full_unstemmed |
Parallel quantum simulation of large systems on small NISQ computers |
title_sort |
parallel quantum simulation of large systems on small nisq computers |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/a910ed924cf84970b8feaf93fd283e2f |
work_keys_str_mv |
AT fbarratt parallelquantumsimulationoflargesystemsonsmallnisqcomputers AT jamesdborin parallelquantumsimulationoflargesystemsonsmallnisqcomputers AT matthiasbal parallelquantumsimulationoflargesystemsonsmallnisqcomputers AT vidstojevic parallelquantumsimulationoflargesystemsonsmallnisqcomputers AT frankpollmann parallelquantumsimulationoflargesystemsonsmallnisqcomputers AT aggreen parallelquantumsimulationoflargesystemsonsmallnisqcomputers |
_version_ |
1718382879602376704 |