2019
DOI: 10.1038/s41534-019-0196-1
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A flexible high-performance simulator for verifying and benchmarking quantum circuits implemented on real hardware

Abstract: Here we present qFlex, a flexible tensor network based quantum circuit simulator. qFlex can compute both exact amplitudes, essential for the verification of the quantum hardware, as well as low fidelity amplitudes, in order to mimic sampling from Noisy Intermediate-Scale Quantum (NISQ) devices. In this work, we focus on random quantum circuits (RQCs) in the range of sizes expected for supremacy experiments. Fidelity f simulations are performed at a cost that is 1/f lower than perfect fidelity ones. We also pre… Show more

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Cited by 118 publications
(123 citation statements)
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“…Such approach allows to "swap" space and time to take advantage of low-depth quantum circuits (equivalent to a Wick rotation in the imaginary time direction). While the approach is interesting per se, the computational performance is lower than that one achieved by qFlex [30].…”
Section: Current State-of-the-artmentioning
confidence: 91%
See 1 more Smart Citation
“…Such approach allows to "swap" space and time to take advantage of low-depth quantum circuits (equivalent to a Wick rotation in the imaginary time direction). While the approach is interesting per se, the computational performance is lower than that one achieved by qFlex [30].…”
Section: Current State-of-the-artmentioning
confidence: 91%
“…In 2018, NASA and Google implemented a circuit simulator -qFlex -to compute amplitudes of arbitrary bitstrings and ran it on NASAs Electra and Pleiades supercomputers [30]. qFlex novel algorithmic design emphasizes communication avoiding and minimization of memory footprint, and it can also be reconfigured to optimize for local memory bandwidth.…”
Section: A Qflexmentioning
confidence: 99%
“…This is feasible for small circuits, as well as for circuits composed of Clifford gates [11] and few non-Clifford gates [12,13]. Classical simulations have been performed for quantum computations of up to 72 qubits, often exploiting subtle insights into the nature of specific quantum circuits involved [14,15]. Though practical for the present, classical simulations of quantum circuits are not scalable.…”
Section: Introductionmentioning
confidence: 99%
“…A). RQCs have also stimulated 2 the search for efficient classical algorithms which would show where exactly the limits of classical simulations are [17][18][19][20][21][22][23][24][25].…”
mentioning
confidence: 99%
“…(6)(7)(8)(9). To this end, we note that our algorithm can be straightforwardly combined with the fast sampling method in [24] to measure a large number of amplitudes. Following Fig.…”
mentioning
confidence: 99%