Metrologically optimal quantum states under noise

Chao Yin1, Victor V. Albert2, and Sisi Zhou3,4

1Department of Physics and Center for Theory of Quantum Matter, University of Colorado, Boulder CO 80309, USA
2Joint Center for Quantum Information and Computer Science, NIST/University of Maryland, College Park, Maryland, USA
3Perimeter Institute for Theoretical Physics, Waterloo, ON, N2L 2Y5, Canada
4Department of Physics and Astronomy, Department of Applied Mathematics, and Institute for Quantum Computing, University of Waterloo, Ontario N2L 2Y5, Canada

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Abstract

We propose a class of metrological resource states whose quantum Fisher information scales optimally in both system size and noise rate. In these states, qubits are partitioned into sensing groups with relatively large correlations within a group but small correlations between groups. The states are obtainable from local Hamiltonian evolution, and we design a metrologically optimal and efficient measurement protocol utilizing time-reversed dynamics and single-qubit on-site measurements. Using quantum domino dynamics, we also present a protocol free of the time-reversal step that has an estimation error roughly twice the best possible value. Finally, we show that spin squeezed states are also optimal for noisy metrology under general conditions.

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[2] Ben T. McDonough, Chao Yin, Andrew Lucas, and Carolyn Zhang, "Lieb-Robinson Bounds with Exponential-in-Volume Tails", PRX Quantum 6 4, 040322 (2025).

[3] Anthony J. Brady, Yu-Xin Wang, Victor V. Albert, Alexey V. Gorshkov, and Quntao Zhuang, "Correlated Noise Estimation with Quantum Sensor Networks", Physical Review Letters 136 8, 080803 (2026).

[4] Allen Zang, Tian-Xing Zheng, Peter C. Maurer, Frederic T. Chong, Martin Suchara, and Tian Zhong, "Enhancing Noisy Quantum Sensing by GHZ State Partitioning", arXiv:2507.02829, (2025).

[5] Yu-Xin Wang, Flavio Salvati, David R. M. Arvidsson-Shukur, William F. Braasch, Kater Murch, and Nicole Yunger Halpern, "Quantum metrology enhanced by effective time reversal", arXiv:2601.20952, (2026).

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