Efficient Algorithm for Optimal Control of Mixed-State Quantum Systems
classification
🪐 quant-ph
keywords
algorithmcontrolquantumefficientmixed-stateoptimalachievingarbitrary
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In [1] Zhu and Rabitz presented a rapidly convergent iterative algorithm for optimal control of the expectation value of a positive definite observable in a pure-state quantum system. In this paper we generalize this algorithm to a quantum statistical mechanics setting and show that it is both efficient in the mixed-state case and effective in achieving the control objective of maximizing the ensemble average of arbitrary observables in the cases studied.
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