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Found 4 papers, 1 papers with code
Machine-learning-enhanced quantum sensors for accurate magnetic field imaging
Local detection of magnetic fields is crucial for characterizing nano- and micro-materials and has been implemented using various scanning techniques or even diamond quantum sensors.
Higher-order Efficiency Bound and Its Application to Nonlinear Nano-thermoelectrics
Power and efficiency of heat engines are two conflicting objectives, and a tight efficiency bound is expected to give insights on the fundamental properties of the power-efficiency tradeoff.
Statistical Mechanics Mesoscale and Nanoscale Physics
Topological synchronization of coupled nonlinear oscillators
The topological synchronization can ubiquitously appear in topological nonlinear oscillators and thus can provide a guiding principle to realize synchronization in a robust, geometrical, and flexible way.
Defect Detection
Adaptation and Self-Organizing Systems
Mesoscale and Nanoscale Physics
Other Condensed Matter
Statistical Mechanics
Chaotic Dynamics
Deep Reinforcement Learning Control of Quantum Cartpoles
We generalize a standard benchmark of reinforcement learning, the classical cartpole balancing problem, to the quantum regime by stabilizing a particle in an unstable potential through measurement and feedback.
