APS Global Physics Summit Logo March 16–21, 2025, Anaheim, CA and virtual
Focus Session
March

Quantum Sensing: Limits and Resources

11:30 am – 2:30 pm, Wednesday March 19 Session MAR-M07 Anaheim Convention Center, 151 (Level 1)
Chair:
Angela Gamouras, National Research Council Canada
Topics:
Sponsored by
DQI

Optimal function estimation with interacting sensor networks

1:30 pm – 1:42 pm
Presenter: Erfan Abbasgholinejad (University of Maryland, College Park)
Authors: Jacob Bringewatt (Harvard University), Anthony Brady (University of Maryland, College Park), Ali Fahimniya (University of Maryland, College Park), Sean Muleady (University of Maryland, College Park), Yuxin Wang (University of Maryland, College Park), Raphael Kaubruegger (University of Colorado, Boulder), Ana Maria Rey (University of Colorado, Boulder), Alexey Gorshkov (National Institute of Standards and Technology (NIST))

The problem of measuring a function of local fields, each coupled to a quantum sensor, is a useful test bed for understanding multiparameter quantum metrology, with applications ranging from gravimetry to magnetometry. The fact that we are interested in a single quantity means that we can derive performance bounds using techniques of single parameter quantum metrology, but the saturability of such bounds depends on a full accounting of the multiparameter nature of the problem. While techniques for non-interacting quantum sensor networks are well-understood, with known optimal protocols, the case of interacting qubits presents unresolved challenges. In this work, we study a class of interacting Hamiltonians that can be harnessed to enhance function estimation. We derive optimality conditions for estimating linear functions and demonstrate that the precision bounds can be saturated up to a constant factor. This method offers a pathway for improving global parameter estimation in interacting quantum sensor networks.

PRESENTATIONS (13)