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Area of Science:

  • Quantum Information Science
  • Quantum Metrology
  • Quantum State Estimation

Background:

  • Estimating the overlap between unknown quantum states is crucial for quantum information processing.
  • The conventional method uses N swap tests, a joint measurement on one copy of each state.

Purpose of the Study:

  • To develop a more precise estimation strategy for quantum state overlap.
  • To compare the efficiency of new methods against the standard swap test.

Main Methods:

  • Derivation of optimal measurement statistics for collective measurements on multiple copies of quantum states.
  • Computation of optimal mean squared error in asymptotic pointwise and finite Bayesian settings.
  • Analysis of state estimation strategies and their performance relative to the swap test.

Main Results:

  • Collective measurements yield more precise overlap estimates than individual swap tests.
  • New strategies outperform the swap test, particularly for small overlap values.
  • Optimal measurements are less invasive than the swap test and show robustness to depolarizing noise.

Conclusions:

  • General collective measurements offer a superior approach to quantum state overlap estimation.
  • The findings have implications for improving quantum information processing tasks and understanding measurement invasiveness.