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arxiv: 2211.01925 · v3 · pith:HE334QGH · submitted 2022-11-03 · quant-ph

Exploiting Qubit Reuse through Mid-circuit Measurement and Reset

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classification quant-ph
keywords circuitfidelityqubithardwareimprovedmeasurementreuseusage
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Quantum measurement is important to quantum computing as it extracts the outcome of the circuit at the end of the computation. Previously, all measurements have to be done at the end of the circuit. Otherwise, it will incur significant errors. But it is not the case now. Recently IBM started supporting dynamic circuits through hardware (instead of software by simulator). With mid-circuit hardware measurement, we can improve circuit efficacy and fidelity from three aspects: (a) reduced qubit usage, (b) reduced swap insertion, and (c) improved fidelity. We demonstrate this using real-world applications Bernstein Verizani on real hardware and show that circuit resource usage can be improved by 60\%, and circuit fidelity can be improved by 15\%. We design a compiler-assisted tool that can find and exploit the tradeoff between qubit reuse, fidelity, gate count, and circuit duration. We also developed a method for identifying whether qubit reuse will be beneficial for a given application. We evaluated our method on a representative set of essential applications. We can reduce resource usage by up to 80\% and circuit fidelity by up to 20\%.

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Cited by 3 Pith papers

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

  1. Time-optimal Qubit Reset via Environmental Spectral Structure

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    A switch-restore-switch protocol using environmental spectral structure resets superconducting qubits in 20 ns at 10^{-5} precision.

  2. Learning-Optimized Qubit Mapping and Reuse to Minimize Inter-Core Communication in Modular Quantum Architectures

    quant-ph 2025-06 unverdicted novelty 6.0

    QARMA applies transformer-augmented reinforcement learning to qubit allocation and reuse in modular quantum systems, reporting up to 86% average reduction in inter-core communications versus optimized Qiskit baselines.

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    cs.SE 2026-05 unverdicted novelty 5.0

    QSAF is a new component-based framework that organizes quantum circuit primitives into seven categories and links them through a multi-level abstraction hierarchy to support design of hybrid quantum-classical systems.