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Using Shor's algorithm on near term Quantum computers: a reduced version

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arxiv 2112.12647 v1 pith:YPKJ7ON4 submitted 2021-12-23 quant-ph

Using Shor's algorithm on near term Quantum computers: a reduced version

classification quant-ph
keywords quantumalgorithmnumbershorversioncomputersfactornear
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Considering its relevance in the field of cryptography, integer factorization is a prominent application where Quantum computers are expected to have a substantial impact. Thanks to Shor's algorithm this peculiar problem can be solved in polynomial time. However, both the number of qubits and applied gates detrimentally affect the ability to run a particular quantum circuit on the near term Quantum hardware. In this work, we help addressing both these problems by introducing a reduced version of Shor's algorithm that proposes a step forward in increasing the range of numbers that can be factorized on noisy Quantum devices. The implementation presented in this work is general and does not use any assumptions on the number to factor. In particular, we have found noteworthy results in most cases, often being able to factor the given number with only one iteration of the proposed algorithm. Finally, comparing the original quantum algorithm with our version on simulator, the outcomes are identical for some of the numbers considered.

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

  1. Measurement-based quantum machine learning

    quant-ph 2024-05 unverdicted novelty 7.0

    The authors introduce MuTA as a universal quantum neural network for MBQC and numerically demonstrate its ability to learn gates, classify quantum states, and process data under noise, including photonic hardware constraints.