Heisenberg Scaling of Agnostic Phase Estimation

ORAL

Abstract

Entanglement-enhanced metrology outperforms strategies that do not harness entanglement. We recently demonstrated a phase-estimation strategy that is agnostic to the generator of rotations [1]. Even without knowing the generator, we precisely estimate the rotation angle α in an unknown rotation operator Uα. As limited by the quantum Cramér-Rao bound, the variance of our estimate of α, after multiple independent measurements, is governed by the standard quantum limit var(α) ∝ 1/ν, where ν represents the total number of trials. In this work, we exhibit Heisenberg scaling, which surpasses the standard quantum limit in agnostic phase estimation. By applying Uα multiple times, we achieve Heisenberg scaling, reducing the estimator's variance as var(α) ∝ 1/ν2. We also explore extensions that harness ancilla and probe rotations to further boost the measurement’s sensitivity. [1] Phys. Rev. Lett. 132, 260801 (2024)

*This research was supported in part by the Air Force Office of Scientific Research (AFOSR) Multidisciplinary University Research Initiative (MURI) Award on Programmable systems with non-Hermitian quantum dynamics (Grant No. FA9550-21-1- 0202), by the Gordon and Betty Moore Foundation, grant DOI 10.37807/gbmf11557, and by NSF PHY-2408932. The device was fabricated and provided by the Superconducting Qubits at Lincoln Laboratory (SQUILL) Foundry at MIT Lincoln Laboratory, with funding from the Laboratory for Physical Sciences (LPS) Qubit Collaboratory.

Presenters

  • Surihan S Borjigin

    • Washington University, St. Louis

Authors

  • Surihan S Borjigin

    • Washington University, St. Louis
  • Xingrui Song

    • Washington University, St. Louis
  • Flavio Salvati

    • Univ of Cambridge
  • Yuxin Wang

    • Joint Center for Quantum Information and Computer Science, University of Maryland/NIST, College Park
    • University of Maryland, College Park
    • National Institute of Standards and Technology (NIST)
  • Nicole Yunger Halpern

    • National Institute of Standards and Technology (NIST)
  • David R M Arvidsson-Shukur

    • Hitachi Ltd
  • Kater W Murch

    • Washington University, St. Louis