Reinforcement learning optimization of the charging of a Dicke quantum battery
arXiv:2212.12397 · doi:10.1103/PhysRevLett.133.243602
Abstract
Quantum batteries are energy-storing devices, governed by quantum mechanics, that promise high charging performance thanks to collective effects. Due to its experimental feasibility, the Dicke battery - which comprises two-level systems coupled to a common photon mode - is one of the most promising designs for quantum batteries. However, the chaotic nature of the model severely hinders the extractable energy (ergotropy). Here, we use reinforcement learning to optimize the charging process of a Dicke battery either by modulating the coupling strength, or the system-cavity detuning. We find that the ergotropy and quantum mechanical energy fluctuations (charging precision) can be greatly improved with respect to standard charging strategies by countering the detrimental effect of quantum chaos. Notably, the collective speedup of the charging time can be preserved even when nearly fully charging the battery.
arXiv comment6+10 pages, 8 figures
References in corpus (65)
- Quantum Cryptography
- Area laws for the entanglement entropy - a review
- QuTiP 2: A Python framework for the dynamics of open quantum systems
- Quantum Thermodynamics
- The role of quantum information in thermodynamics --- a topical review
- The maximum speed of dynamical evolution
- Chaos and the Quantum Phase Transition in the Dicke Model
- Extractable work from ensembles of quantum batteries. Entanglement helps
- Maximal work extraction from quantum systems
- A Thermodynamical Approach to Quantifying Quantum Correlations
- Enhancing the charging power of quantum batteries
- High-power collective charging of a solid-state quantum battery
- Quantacell: Powerful charging of quantum batteries
- Strong spin-photon coupling in silicon
- Programmable quantum gate arrays
- Extractable work, the role of correlations, and asymptotic freedom in quantum batteries
- Entanglement Generation is Not Necessary for Optimal Work Extraction
- Spin-chain model of a many-body quantum battery
- Reinforcement Learning in Different Phases of Quantum Control
- Quantum advantage in the charging process of Sachdev-Ye-Kitaev batteries
- Charger-mediated energy transfer for quantum batteries: an open system approach
- Superabsorption in an organic microcavity: towards a quantum battery
- Dissipative charging of a quantum battery
- Charger-mediated energy transfer in exactly-solvable models for quantum batteries
- Strong Coupling Cavity QED with Gate-Defined Double Quantum Dots Enabled by a High Impedance Resonator
- Reinforcement Learning with Neural Networks for Quantum Feedback
- Bounds on the capacity and power of quantum batteries
- Quantum Charging Advantage Cannot Be Extensive Without Global Operations
- Quantum versus classical many-body batteries
- Using dark states to charge and stabilise open quantum batteries
- Ultrafast charging in a two-photon Dicke quantum battery
- Powerful harmonic charging in quantum batteries
- Many-body localized quantum batteries
- Extended Dicke quantum battery with interatomic interactions and driving field
- The energetic cost of work extraction
- Enhancement in performance of quantum battery by ordered and disordered interactions
- Precision and Work Fluctuations in Gaussian Battery Charging
- Quantum speed-up in collisional battery charging
- When does reinforcement learning stand out in quantum control? A comparative study on state preparation
- Stabilizing Open Quantum Batteries by Sequential Measurements
- Deep Reinforcement Learning for Quantum Gate Control
- Generation and controllable switching of superradiant and subradiant states in a 10-qubit superconducting circuit
- Ultra-stable charging of fast-scrambling SYK quantum batteries
- Identifying optimal cycles in quantum thermal machines with reinforcement-learning
- Charging a quantum battery with linear feedback control
- Charging and energy fluctuations of a driven quantum battery
- Cavity-Heisenberg spin chain quantum battery
- Optimal Control Methods for Quantum Batteries
- Global optimization of quantum dynamics with AlphaZero deep exploration
- Micromasers as Quantum Batteries
- Quantum advantage in charging cavity and spin batteries by repeated interactions
- Deep Reinforcement Learning for Quantum State Preparation with Weak Nonlinear Measurements
- Reinforcement Learning Decoders for Fault-Tolerant Quantum Computation
- Characterization of a Two-Photon Quantum Battery: Initial Conditions, Stability and Work Extraction
- A Reinforcement Learning approach for Quantum State Engineering
- Reinforcement learning approach to non-equilibrium quantum thermodynamics
- Enhanced energy transfer in a Dicke quantum battery
- The Charging Performance of Su-Schrieffer-Heeger Quantum Battery
- Enhancing coherent energy transfer between quantum devices via a mediator
- Reinforcement learning-enhanced protocols for coherent population-transfer in three-level quantum systems
- Pareto-optimal cycles for power, efficiency and fluctuations of quantum heat engines using reinforcement learning
- Quantum Energy Lines and the optimal output ergotropy problem
- Chaos and Thermalization in the Spin-Boson Dicke Model
- Learning the best thermoelectric nanoscale heat engines through evolving network topology
- Model-free optimization of power/efficiency tradeoffs in quantum thermal machines using reinforcement learning
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- Taming quantum systems: A tutorial for using shortcuts-to-adiabaticity, quantum optimal control, and reinforcement learning
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- Auxiliary-assisted energy distillation from quantum batteries
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- The evolution of quantum battery capacity of GHZ-like states under Markovian channels
- Optimal control of a dissipative micromaser quantum battery in the ultrastrong coupling regime
- Positive and non-positive measurements in energy distillation from quantum batteries
- Universal features of non-analytical energy storage in quantum critical quantum batteries
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- The advantages of extended nonreciprocal quantum batteries
- Boosting Work Extraction in Quantum Batteries via Continuous Environment Monitoring