期刊
QUANTUM SCIENCE AND TECHNOLOGY
卷 3, 期 4, 页码 -出版社
IOP PUBLISHING LTD
DOI: 10.1088/2058-9565/aace16
关键词
quantum optics; quantum networks; optimal control; numerical methods
资金
- ASD(R&E) under their Quantum Science and Engineering Program (QSEP)
- Army High Performance Computing Research Center (AHPCRC) - US Army Research Laboratory [W911NF-07-2-0027]
The wavefunction Monte-Carlo method, also referred to as the use of 'quantum jump trajectories', allows efficient simulation of open systems by independently tracking the evolution of many pure-state 'trajectories'. This method is ideally suited to simulation by modern, highly parallel computers. Here we show that Krotov's method of numerical optimal control, unlike others, can be modified in a simple way so that it becomes fully parallel in the pure states without losing its effectiveness. This provides a highly efficient method for finding optimal control protocols for open quantum systems and networks. We apply this method to the problem of generating entangled states in a network consisting of systems coupled in a unidirectional chain. We show that due to the existence of a dark state subspace in the network, nearly optimal control protocols can be found for this problem by using only a single pure-state trajectory in the optimization, further increasing the efficiency.
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