Jet: Fast quantum circuit simulations with parallel task-based tensor-network contraction

Trevor Vincent; Lee J. O'Riordan; Mikhail Andrenkov; Jack Brown; Nathan Killoran; Haoyu Qi; Ish Dhand

doi:10.22331/q-2022-05-09-709

Jet: Fast quantum circuit simulations with parallel task-based tensor-network contraction

Trevor Vincent¹, Lee J. O'Riordan¹, Mikhail Andrenkov¹, Jack Brown¹, Nathan Killoran¹, Haoyu Qi¹, and Ish Dhand^1,2

¹Xanadu, 777 Bay Street, Toronto, Canada
²Institute of Theoretical Physics and IQST, Ulm University, Albert-Einstein-Allee 11, 89081 Ulm, Germany

Published:	2022-05-09, volume 6, page 709
Eprint:	arXiv:2107.09793v3
Doi:	https://doi.org/10.22331/q-2022-05-09-709
Citation:	Quantum 6, 709 (2022).

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Abstract

We introduce a new open-source software library $Jet$, which uses task-based parallelism to obtain speed-ups in classical tensor-network simulations of quantum circuits. These speed-ups result from i) the increased parallelism introduced by mapping the tensor-network simulation to a task-based framework, ii) a novel method of reusing shared work between tensor-network contraction tasks, and iii) the concurrent contraction of tensor networks on all available hardware. We demonstrate the advantages of our method by benchmarking our code on several Sycamore-53 and Gaussian boson sampling (GBS) supremacy circuits against other simulators. We also provide and compare theoretical performance estimates for tensor-network simulations of Sycamore-53 and GBS supremacy circuits for the first time.

Featured image: Left: A plot of the tensor-network for the Sycamore-53 $m=20$ circuit. The only two qubit gate is fSim. Right: A 4x4x4 GBS circuit with beam splitters (BS) which act as two-qudit gates and squeezers (S), which act as one-qudit gates. Both tensor networks have similar computational complexity.

Popular summary

In this work, we introduce the open-source software Jet, which is available at https://github.com/XanaduAI/jet. Jet models quantum systems with an arbitrary number of basis states using tensor-networks and a novel task-based framework. We show that Jet can simulate quantum systems faster than competing codes on a variety of computer hardware.

► BibTeX data

@article{Vincent2022jetfastquantum,
  doi = {10.22331/q-2022-05-09-709},
  url = {https://doi.org/10.22331/q-2022-05-09-709},
  title = {Jet: {F}ast quantum circuit simulations with parallel task-based tensor-network contraction},
  author = {Vincent, Trevor and O'Riordan, Lee J. and Andrenkov, Mikhail and Brown, Jack and Killoran, Nathan and Qi, Haoyu and Dhand, Ish},
  journal = {{Quantum}},
  issn = {2521-327X},
  publisher = {{Verein zur F{\"{o}}rderung des Open Access Publizierens in den Quantenwissenschaften}},
  volume = {6},
  pages = {709},
  month = may,
  year = {2022}
}

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