Teaching the Environment to Control Quantum Systems

Abstract

A non-equilibrium, generally time-dependent, environment whose form is deduced by optimal learning control is shown to provide a means for incoherent manipulation of quantum systems. Incoherent control by the environment (ICE) can serve to steer a system from an initial state to a target state, either mixed or in some cases pure, by exploiting dissipative dynamics. Implementing ICE with either incoherent radiation or a gas as the control is explicitly considered, and the environmental control is characterized by its distribution function. Simulated learning control experiments are performed with simple illustrations to find the shape of the optimal non-equilibrium distribution function that best affects the posed dynamical objectives.

References in corpus (1)

• A stochastic golden rule and quantum Langevin equation for the low density limit

Cited by in corpus (7)

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• Control Landscapes for Observable Preparation with Open Quantum Systems
• Control landscapes for two-level open quantum systems
• Incoherent Control of Locally Controllable Quantum Systems
• Control of quantum dynamics by optimized measurements
• Optimization search effort over the control landscapes for open quantum systems with Kraus-map evolution
• Dissipation control in cavity QED with oscillating mode-structures