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Updated: Aug 1, 2026

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
Published on: May 30, 2014
Cooperating or fighting with decoherence in the optimal control of quantum dynamics
1Department of Chemistry, Princeton University, Princeton, New Jersey 08544, USA.
Laboratory closed-loop learning control can fight or cooperate with quantum decoherence. This quantum control strategy optimizes dynamics by either actively combating or strategically using environmental interactions for efficient population transfer.
Area of Science:
- Quantum dynamics and control
- Quantum information science
- Open quantum systems
Background:
- Quantum systems are susceptible to decoherence, which degrades quantum information.
- Optimal manipulation of quantum dynamics is crucial for quantum technologies.
- Understanding the interplay between control fields and environmental interactions is essential.
Purpose of the Study:
- To explore laboratory closed-loop learning control for quantum dynamics.
- To investigate strategies for fighting or cooperating with decoherence.
- To optimize population transfer in multilevel quantum systems.
Main Methods:
- Simulations using a Lindblad formulation for multilevel quantum systems.
- Analysis of systems strongly interacting with the environment.
- Application of closed-loop learning control strategies.
Main Results:
- Control fields can be found to effectively fight decoherence for high control yield.
- Optimally shaped fields can cooperate with decoherence for efficient modest control yields.
- A theoretical foundation is established for control field and decoherence cooperation in weak regimes.
Conclusions:
- Closed-loop learning control offers effective strategies for managing decoherence.
- Population transfer objectives can be met by either fighting or cooperating with environmental interactions.
- The findings provide insights into optimizing quantum dynamics under environmental influence.
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