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Trapped Ion Quantum Computing

Experimental benchmarking of quantum state overlap estimation strategies with photonic systems

arXiv
Authors: Hao Zhan, Ben Wang, Minghao Mi, Jie Xie, Liang Xu, Aonan Zhang, Lijian Zhang

Year

2024

Paper ID

66697

Status

Preprint

Abstract Read

~2 min

Abstract Words

136

Citations

N/A

Abstract

Accurately estimating the overlap between quantum states is a fundamental task in quantum information processing. While various strategies using distinct quantum measurements have been proposed for overlap estimation, the lack of experimental benchmarks on estimation precision limits strategy selection in different situations. Here we compare the performance of four practical strategies for overlap estimation, including tomography-tomography, tomography-projection, Schur collective measurement and optical swap test using photonic quantum systems. We encode the quantum states on the polarization and path degrees of freedom of single photons. The corresponding measurements are performed by photon detection on certain modes following single-photon mode transformation or two-photon interference. We further propose an adaptive strategy with optimized precision in full-range overlap estimation. Our results shed new light on extracting the parameter of interest from quantum systems, prompting the design of efficient quantum protocols.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2024 reference point for readers tracking recent quantum research.
  • Accurately estimating the overlap between quantum states is a fundamental task in quantum information processing.

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