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arXiv · 2107.09793

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
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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.

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Trevor Vincent, Lee J. O'Riordan, Mikhail Andrenkov, Jack Brown, Nathan Killoran, Haoyu Qi, Ish Dhand. 2021-07-20. Jet: Fast quantum circuit simulations with parallel task-based tensor-network contraction. https://doi.org/10.22331/q-2022-05-09-709

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