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An efficient quantum state verification framework and its application to bosonic systems

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arxiv 2411.04688 v1 pith:XKW5ZSPG submitted 2024-11-07 quant-ph

An efficient quantum state verification framework and its application to bosonic systems

classification quant-ph
keywords quantumefficientverificationdevicesframeworklargesystemsbosonic
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Modern quantum devices are highly susceptible to errors, making the verification of their correct operation a critical problem. Usual tomographic methods rapidly become intractable as these devices are scaled up. In this paper, we introduce a general framework for the efficient verification of large quantum systems. Our framework combines robust fidelity witnesses with efficient classical post-processing to implement measurement back-propagation. We demonstrate its usefulness by focusing on the verification of bosonic quantum systems, and developing efficient verification protocols for large classes of target states using the two most common types of Gaussian measurements: homodyne and heterodyne detection. Our protocols are semi-device independent, designed to function with minimal assumptions about the quantum device being tested, and offer practical improvements over previous existing approaches. Overall, our work introduces efficient methods for verifying the correct preparation of complex quantum states, and has consequences for calibrating large quantum devices, witnessing quantum properties, supporting demonstrations of quantum computational speedups and enhancing trust in quantum computations.

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Cited by 1 Pith paper

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

  1. Rigorous characterization of continuous-variable quantum states via optical parametric amplifiers

    quant-ph 2026-07 conditional novelty 6.0

    Quadrature-power (sign-free) measurements after phase-sensitive amplification are tomographically complete for parity-symmetric states and certify Wigner negativity and stellar rank from the same data.