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This research introduces the adaptive entanglement-assisted Hadamard test (AEHT), an algorithm that iteratively refines reference phases to overcome accuracy limits in high-precision quantum phase estimation. By addressing systematic biases from imperfect eigenstate preparation and optimizing for device-restart counts rather than shot counts, the method enhances efficiency on near-term quantum processors. The work represents a significant step forward in practical quantum algorithms for leveraging large entangled states without requiring full fault tolerance.
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Efficient quantum phase estimation with adaptive entanglement-assisted Hadamard test

arXiv2 min read

arXiv:2610.01772v1 Announce Type: new Abstract: The entanglement-assisted Hadamard test (EHT) is a practical method for estimating a quantum phase by amplifying the phase signal. However, the feasible amplification is fundamentally limited by the accuracy of the reference phase, such that the method is inefficient in the high-precision regime. In this work, we propose an algorithm, called adaptive entanglement-assisted Hadamard test (AEHT), that iteratively refines the reference phase, enabling progressively stronger amplification as the iteration goes by. We further consider the imperfect eigenstate preparation scenario, where a systematic bias is unavoidable when estimating the quantum phase with the conventional EHT. Such a bias can be suppressed by the proposed AEHT. Moreover, taking physical implementation into consideration, we adopt device-restart count to measure the cost of quantum phase estimation, rather than shot count. The numerical experiments confirm the effectiveness of the proposed AEHT compared with conventional methods under this measure. By unlocking the full amplification power of large entangled states, this work offers an efficient method to estimate high-precision quantum phase on near-term quantum processors.

Abstract:The entanglement-assisted Hadamard test (EHT) is a practical method for estimating a quantum phase by amplifying the phase signal. However, the feasible amplification is fundamentally limited by the accuracy of the reference phase, such that the method is inefficient in the high-precision regime. In this work, we propose an algorithm, called adaptive entanglement-assisted Hadamard test (AEHT), that iteratively refines the reference phase, enabling progressively stronger amplification as the iteration goes by. We further consider the imperfect eigenstate preparation scenario, where a systematic bias is unavoidable when estimating the quantum phase with the conventional EHT. Such a bias can be suppressed by the proposed AEHT. Moreover, taking physical implementation into consideration, we adopt device-restart count to measure the cost of quantum phase estimation, rather than shot count. The numerical experiments confirm the effectiveness of the proposed AEHT compared with conventional methods under this measure. By unlocking the full amplification power of large entangled states, this work offers an efficient method to estimate high-precision quantum phase on near-term quantum processors.

arXiv:2610.01772 [quant-ph]

(or arXiv:2610.01772v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2610.01772 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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