Accelerated Magnonic Motional Cooling with Deep Reinforcement Learning

Abstract

Achieving fast cooling of motional modes is a prerequisite for leveraging such bosonic quanta for high-speed quantum information processing. In this work, we address the aspect of reducing the time limit for cooling below that constrained by the conventional sideband cooling techniques; and propose a scheme to apply deep reinforcement learning (DRL) to achieve this. In particular, we have shown how the scheme can be used effectively to accelerate the dynamic motional cooling of a macroscopic magnonic sphere, and how it can be uniformly extended for more complex systems, for example, a tripartite opto-magno-mechanical system to obtain cooling of the motional mode below the time bound of coherent cooling. While conventional sideband cooling methods do not work beyond the well-known rotating wave approximation (RWA) regimes, our proposed DRL scheme can be applied uniformly to regimes operating within and beyond the RWA, and thus this offers a new and complete toolkit for rapid control and generation of macroscopic quantum states for application in quantum technologies.

15 pages, 10 figures (including supplemental material)

References in corpus (8)

• Strongly coupled magnons and cavity microwave photons
• Hybridizing ferromagnetic magnons and microwave photons in the quantum limit
• Hybrid quantum systems based on magnonics
• Sideband Cooling Beyond the Quantum Limit with Squeezed Light
• Ultrasensitive optical magnetometry at the microscale
• Intracavity-squeezed optomechanical cooling
• Faster State Preparation across Quantum Phase Transition Assisted by Reinforcement Learning
• An opto-magneto-mechanical quantum interface between distant superconducting qubits

Cited by in corpus (5)

• Artificial Intelligence for Quantum Computing
• Designing fast quantum gates using optimal control with a reinforcement-learning ansatz
• Deterministic generation of nonclassical mechanical states in cavity optomechanics via reinforcement learning
• The kinetic theory of ultra-subsonic fermion systems and applications to flat band magic angle twisted bilayer graphene
• No-Collapse Accurate Quantum Feedback Control via Conditional State Tomography