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Fidelity Estimation of Entangled Measurements with Local States (2312.13730v1)

Published 21 Dec 2023 in quant-ph

Abstract: We propose an efficient protocol to estimate the fidelity of an $n$-qubit entangled measurement device, requiring only qubit state preparations and classical data post-processing. It works by measuring the eigenstates of Pauli operators, which are strategically selected according to their importance weights and collectively contributed by all measurement operators. We rigorously analyze the protocol's performance and demonstrate that its sample complexity is uniquely determined by the number of Pauli operators possessing non-zero expectation values with respect to the target measurement. Moreover, from a resource-theoretic perspective, we introduce the stabilizer R\'enyi entropy of quantum measurements as a precise metric to quantify the inherent difficulty of estimating measurement fidelity.

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References (24)
  1. Improving quantum state estimation with mutually unbiased bases. Physical Review Letters, 105(3):030406, 2010.
  2. Detector tomography on ibm quantum computers and mitigation of an imperfect measurement. Physical Review A, 100(5):052315, 2019.
  3. Isoentangled mutually unbiased bases, symmetric quantum measurements, and mixed-state designs. Physical Review Letters, 124(9):090503, 2020.
  4. Noise-resilient quantum computing with a nitrogen-vacancy center and nuclear spins. Physical Review Letters, 117(13):130502, 2016.
  5. Practical characterization of quantum devices without tomography. Physical Review Letters, 107(21):210404, 2011.
  6. Jaromír Fiurášek. Maximum-likelihood estimation of quantum measurement. Physical Review A, 64(2):024102, 2001.
  7. Direct fidelity estimation from few pauli measurements. Physical Review Letters, 106(23):230501, 2011.
  8. Nicolas Gisin. Entanglement 25 years after quantum teleportation: Testing joint measurements in quantum networks. Entropy, 21(3):325, 2019.
  9. Holger F Hofmann. Complete characterization of post-selected quantum statistics using weak measurement tomography. Physical Review A, 81(1):012103, 2010.
  10. Machine learning for precise quantum measurement. Physical Review Letters, 104(6):063603, 2010.
  11. Geometric quantum computation using nuclear magnetic resonance. Nature, 403(6772):869–871, 2000.
  12. Architecture for a large-scale ion-trap quantum computer. Nature, 417(6890):709–711, 2002.
  13. Theory of quantum system certification. PRX quantum, 2(1):010201, 2021.
  14. Tomography of quantum detectors. Nature Physics, 5(1):27–30, 2009.
  15. Efficiently measuring a quantum device using machine learning. npj Quantum Information, 5(1):79, 2019.
  16. Stabilizer rényi entropy. Physical Review Letters, 128(5):050402, 2022.
  17. Nonstabilizerness determining the hardness of direct fidelity estimation. Physical Review A, 107(2):022429, 2023.
  18. Experimentally efficient methods for estimating the performance of quantum measurements. Physical Review A, 88(2):022127, 2013.
  19. Deep reinforcement learning for efficient measurement of quantum devices. npj Quantum Information, 7(1):100, 2021.
  20. Photonic quantum technologies. Nature Photonics, 3(12):687–695, 2009.
  21. John Preskill. Quantum computing in the nisq era and beyond. Quantum, 2:79, 2018.
  22. Symmetric informationally complete quantum measurements. Journal of Mathematical Physics, 45(6):2171–2180, 2004.
  23. Projected least-squares quantum process tomography. Quantum, 6:844, 2022.
  24. Bilocal bell inequalities violated by the quantum elegant joint measurement. Physical Review Letters, 126(22):220401, 2021.
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