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FCM: A Fusion-aware Wire Cutting Approach for Measurement-based Quantum Computing

Published: 07 November 2024 Publication History

Abstract

Measurement-based quantum computing (MBQC) is a promising quantum computing paradigm that carries out computation through one-way measurements on entangled photon qubits. Practical photonic hardware first generates a 2D mesh of resource states with each being a small number of entangled photon qubits and then exploits fusion operations to connect resource states to scale up the computation. Given that the fusion operation is highly error-prone, it is important to reduce the number of fusions for an MBQC circuit.
In this paper, we propose FCM, a fusion-aware scheme that exploits wire cutting to improve the fidelity of MBQC. By cutting a large MBQC circuit into several smaller subcircuits, FCM effectively reduces the number of fusions in each subcircuit and thus improves the computation fidelity. Given circuit cutting requires classical post-processing to combine the results of subcircuits, FCM strives to achieve the best cutting strategy under different settings. Evaluation of representative benchmarks demonstrates that, when cutting a large circuit to two subcircuits, FCM reduces the maximum number of fusions of all subcircuits by 59.6% on average (up to 69.1%).

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  1. FCM: A Fusion-aware Wire Cutting Approach for Measurement-based Quantum Computing

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    cover image ACM Conferences
    DAC '24: Proceedings of the 61st ACM/IEEE Design Automation Conference
    June 2024
    2159 pages
    ISBN:9798400706011
    DOI:10.1145/3649329
    This work is licensed under a Creative Commons Attribution International 4.0 License.

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    Published: 07 November 2024

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    Author Tags

    1. measurement-based quantum computing
    2. photonic
    3. fidelity

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    June 23 - 27, 2024
    CA, San Francisco, USA

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