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In this paper, we investigate a design approach of reinforcement learning to engineer a gyroscope in an optical lattice for the inertial sensing of rotations. Our methodology is not based on traditional atom interferometry, that is,…

Quantum Physics · Physics 2024-12-02 Liang-Ying Chih , Murray Holland

We describe a new approach for on-chip optical non-reciprocity which makes use of strong optomechanical interaction in microring resonators. By optically pumping the ring resonator in one direction, the optomechanical coupling is only…

Quantum Physics · Physics 2012-03-22 Mohammad Hafezi , Peter Rabl

We explore how to measure the gravitational acceleration by using a dissipative optomechanical cavity. What is quite different from the conventional measurement methods is that we have constructed a nonreciprocal optomechanical coupling. We…

Quantum Physics · Physics 2025-05-15 Dong Xie , Chunling Xu

Non-reciprocal devices, which allow the non-reciprocal signal routing, serve as the fundamental elements in photonic and microwave circuits and are crucial in both classical and quantum information processing. The radiation-pressure-induced…

Machine learning, especially deep learning, is dramatically changing the methods associated with optical thin-film inverse design. The vast majority of this research has focused on the parameter optimization (layer thickness, and structure…

Machine Learning · Computer Science 2021-02-19 Anqing Jiang , Liangyao Chen , Osamu Yoshie

In a non-reciprocal optical amplifier, gain depends on whether the light propagates forwards or backwards through the device. Typically, one requires either the magneto-optical effect, a temporal modulation, or an optical nonlinearity to…

Optical non-reciprocity, a phenomenon that allows unidirectional flow of optical field is pivoted on the time reversal symmetry breaking. The symmetry breaking happens in the cavity optomechanical system (COS) due to non uniform radiation…

Quantum Physics · Physics 2025-10-06 Muhib Ullah , Xihua Yang , Li-Gang Wang

We demonstrate a novel optical microresonator gyroscope whose responsivity to rotation is enhanced by a factor of around $10^4$ by operating close to the critical point of a spontaneous symmetry breaking transition between…

Surface acoustic waves (SAWs), as Rayleigh waves generated by elastic media, have been used in gyroscopes for over 40 years due to their unique propagation characteristics. However, their working principle, based on Coriolis effects, has…

Quantum Physics · Physics 2026-04-03 Y. T. Zhu , Shibei Xue , Fangfang Ju , Haidong Yuan

Current and future high-contrast imaging instruments require extreme Adaptive Optics (XAO) systems to reach contrasts necessary to directly image exoplanets. Telescope vibrations and the temporal error induced by the latency of the control…

Instrumentation and Methods for Astrophysics · Physics 2020-12-04 Rico Landman , Sebastiaan Y. Haffert , Vikram M. Radhakrishnan , Christoph U. Keller

Here, we report a case study implementation of reinforcement learning (RL) to automate operations in the scanning transmission electron microscopy (STEM) workflow. To do so, we design a virtual, prototypical RL environment to test and…

Instrumentation and Detectors · Physics 2022-08-08 Michael Xu , Abinash Kumar , James M. LeBeau

We present a novel passive resonant fiber-optic gyroscope (RFOG) design that achieves two true quadrature points at $\pi/2 $ and $3\pi/2$, enabling angular rotation measurement with maximum sensitivity. The use of a broadband light source,…

Optics · Physics 2025-10-07 Onder Akcaalan , Melike Gumus Akcaalan

Non-reciprocal devices, such as circulators and isolators, are indispensable components in classical and quantum information processing in an integrated photonic circuit. Aside from those applications, the non-reciprocal phase shift is of…

Reinforcement learning (RL) is a popular technique that allows an agent to learn by trial and error while interacting with a dynamic environment. The traditional Reinforcement Learning (RL) approach has been successful in learning and…

We propose a theoretical scheme to enhance the sensitivity of a quantum optomechanical gyroscope (QOMG) by optical Kerr effect. We utilize quantum Fisher information (QFI) to evaluate the metrological potential of the QOMG scheme. It is…

Quantum Physics · Physics 2025-05-30 Ying Liu , Rui Zhang , Wen-Quan Yang , Ya-Feng Jiao , Wang-Jun Lu , Qing-Shou Tan , Le-Man Kuang

This work presents a mechanism by which non-reciprocal wave transmission is achieved in a class of gyric metamaterial lattices with embedded rotating elements. A modulation of the device's angular momentum is obtained via prescribed…

Applied Physics · Physics 2020-08-12 M. A. Attarzadeh , S. Maleki , J. L. Crassidis , M. Nouh

Microwave-optical entanglement is essential for efficient quantum communication, secure information transfer, and integrating microwave and optical quantum systems to advance hybrid quantum technologies. In this work, we demonstrate how the…

Quantum Physics · Physics 2025-04-30 Ming-Yue Liu , Yuan Gong , Jiaojiao Chen , Yan-Wei Wang , Wei Xiong

Smart electric wheelchairs can improve user experience by supporting the driver with shared control. State-of-the-art work showed the potential of shared control in improving safety in navigation for non-holonomic robots. However, for…

Robotics · Computer Science 2025-07-24 Jannis Bähler , Diego Paez-Granados , Jorge Peña-Queralta

Current and future high-contrast imaging instruments require extreme adaptive optics (XAO) systems to reach contrasts necessary to directly image exoplanets. Telescope vibrations and the temporal error induced by the latency of the control…

Instrumentation and Methods for Astrophysics · Physics 2021-08-26 Rico Landman , Sebastiaan Y. Haffert , Vikram M. Radhakrishnan , Christoph U. Keller

Optical satellite-to-ground communication (OSGC) has the potential to improve access to fast and affordable Internet in remote regions. Atmospheric turbulence, however, distorts the optical beam, eroding the data rate potential when…

Machine Learning · Computer Science 2023-03-15 Payam Parvizi , Runnan Zou , Colin Bellinger , Ross Cheriton , Davide Spinello
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