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- Title
Bayesian optimization of Fisher Information in nonlinear multiresonant quantum photonics gyroscopes.
- Authors
Sun, Mengdi; Kovanis, Vassilios; Lončar, Marko; Lin, Zin
- Abstract
We propose an on-chip gyroscope based on nonlinear multiresonant optics in a thin film χ(2) resonator that combines high sensitivity, compact form factor, and low power consumption simultaneously. We theoretically analyze a novel holistic metric – Fisher Information capacity of a multiresonant nonlinear photonic cavity – to fully characterize the sensitivity of our gyroscope under fundamental quantum noise conditions. Leveraging Bayesian optimization techniques, we directly maximize the nonlinear multiresonant Fisher Information. Our holistic optimization approach orchestrates a harmonious convergence of multiple physical phenomena – including noise squeezing, nonlinear wave mixing, nonlinear critical coupling, and noninertial signals – all encapsulated within a single sensor-resonator, thereby significantly augmenting sensitivity. We show that ∼ 470 × improvement is possible over the shot-noise limited linear gyroscope with the same footprint, intrinsic quality factors, and power budget.
- Subjects
FISHER information; GYROSCOPES; OPTICAL gyroscopes; PHOTONICS; QUANTUM noise; NONLINEAR optics; NONLINEAR waves
- Publication
Nanophotonics (21928606), 2024, Vol 13, Issue 13, p2401
- ISSN
2192-8606
- Publication type
Article
- DOI
10.1515/nanoph-2024-0032