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

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abstract

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.

fields

quant-ph 1

years

2025 1

verdicts

UNVERDICTED 1

representative citing papers

Energy-independent tomography of Gaussian states

quant-ph · 2025-08-20 · unverdicted · novelty 7.0

A tomography protocol estimates Gaussian states in trace distance with sample complexity independent of energy (up to doubly logarithmic factors), a doubly exponential improvement over prior methods.

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Showing 1 of 1 citing paper.

  • Energy-independent tomography of Gaussian states quant-ph · 2025-08-20 · unverdicted · none · ref 48 · internal anchor

    A tomography protocol estimates Gaussian states in trace distance with sample complexity independent of energy (up to doubly logarithmic factors), a doubly exponential improvement over prior methods.