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Optimising Matrix Product State Simulations of Shor's Algorithm

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arxiv 1712.07311 v4 pith:QHZIJJQU submitted 2017-12-20 quant-ph

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keywords algorithmshormatrixproductstatesimulationsacrossapproach
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abstract

We detail techniques to optimise high-level classical simulations of Shor's quantum factoring algorithm. Chief among these is to examine the entangling properties of the circuit and to effectively map it across the one-dimensional structure of a matrix product state. Compared to previous approaches whose space requirements depend on $r$, the solution to the underlying order-finding problem of Shor's algorithm, our approach depends on its factors. We performed a matrix product state simulation of a 60-qubit instance of Shor's algorithm that would otherwise be infeasible to complete without an optimised entanglement mapping.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Stabilizer Tensor Networks with Magic State Injection

    quant-ph 2024-11 conditional novelty 6.0 of 10

    A classical simulation framework called MAST, built by adding magic state injection to stabilizer tensor networks, simulates random T-doped Clifford circuits with up to N T-gates in polynomial time and hidden shift ci...

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