期刊
PHYSICAL REVIEW A
卷 90, 期 3, 页码 -出版社
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevA.90.032310
关键词
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资金
- NSERC
- EPSRC
- EU network QUAINT
- CIFAR
- USARO
- AITF
- Macquarie University in Sydney
- Raman Research Institute in Bangalore
- National Science Foundation [NSF PHY11-25915]
- EPSRC [EP/D07195X/2] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/D07195X/2] Funding Source: researchfish
Although quantum control typically relies on greedy (local) optimization, traps (irregular critical points) in the control landscape can make optimization hard by foiling local search strategies. We demonstrate the failure of greedy algorithms as well as the (nongreedy) genetic-algorithm method to realize two fast quantum computing gates: a qutrit phase gate and a controlled-NOT gate. We show that our evolutionary algorithm circumvents the trap to deliver effective quantum control in both instances. Even when greedy algorithms succeed, our evolutionary algorithm can deliver a superior control procedure, for example, reducing the need for high time resolution.
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