Resource-optimal quantum mode parameter estimation with multimode Gaussian states
Maximilian Reichert, Mikel Sanz, Nicolas Fabre

TL;DR
This paper develops a unified framework for quantum mode parameter estimation using multimode Gaussian states, identifying key resources, deriving bounds, and demonstrating optimal measurement strategies for enhanced sensing.
Contribution
It introduces a resource-based approach connecting mode structure and particle number, deriving a tight bound on quantum Fisher information, and identifying optimal states and measurements.
Findings
Derived a tight upper bound on quantum Fisher information for multimode Gaussian states.
Identified mean frequency and bandwidth as key resources for time-shift estimation.
Showed multimode homodyne detection achieves the optimal bound.
Abstract
Quantum mode parameter estimation determines parameters governing the shape of electromagnetic modes occupied by a quantum state of radiation. Canonical examples, time delays and frequency shifts, underpin radar, lidar, and optical clocks. A comprehensive framework recently established that broad families of quantum states can attain the Heisenberg limit, surpassing any classical strategy. This raises a fundamental question: among all quantum-enhanced strategies, which is truly optimal? Answering this requires identifying physically meaningful resources governing each estimation task, so quantum states can be compared on equal footing. We show these resources are connected to the eigenmode basis of the generator of the relevant mode transformation. For time-shift estimation, whose generator is diagonal in the frequency domain, the pertinent resources are the mean frequency and…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum optics and atomic interactions · Mechanical and Optical Resonators
