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Quantum Control Pulse Engineering
Quantum System Identification Noise Spectroscopy
Superresolution in Quantum Noise Spectroscopy via Filter Design
arXiv
Authors: Joseph T. Iosue, Paraj Titum, Taohan Lin, Clare Lau, Leigh M. Norris
Year
2026
Paper ID
109
Status
Preprint
Abstract Read
~2 min
Abstract Words
142
Citations
N/A
Abstract
Resolving signals with closely spaced frequencies is central to applications in communications, spectroscopy and sensing. Recent results have shown that quantum sensing protocols can exhibit superresolution, the ability to discriminate between spectral lines with arbitrarily small frequency separation. Here, we revisit this problem from the perspective of quantum control theory, utilizing the filter function formalism to derive general, analytic conditions on quantum control protocols for achieving superresolution. Building on these conditions, we develop an optimal control framework, the utility of which is demonstrated through numerical identification of superresolution control protocols in the presence of realistic, experimentally-relevant constraints. We further extend our results to entangled initial states and assess their potential advantage. Our approach is broadly applicable to a wide variety of quantum sensing platforms, and it provides a systematic path to discover novel protocols that surpass conventional resolution limits in these systems.
Why This Paper Matters
- This paper contributes to the Quantum Control & Pulse Engineering research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- Resolving signals with closely spaced frequencies is central to applications in communications, spectroscopy and sensing.
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