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arXiv 2005.07511quant-ph
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从真空态开始的激发态绝热量子计算

Excited-State Adiabatic Quantum Computation Started with Vacuum States

Hayato Goto, Taro Kanao

摘要:

绝热量子计算(AQC),这是特别有用的组合优化,变得更加强大,通过使用激发态,而不是基态。然而,激发态AQC由于耗散而易于产生误差。在这里,我们提出了激发态AQC开始与最稳定的状态,即,真空状态。通过使用受驱动的量子系统,或者更准确地说,克尔非线性参量振荡器(KPO)网络,这种违反直觉的方法变得可能。通过数值模拟,我们表明,一些硬的情况下,标准的基态AQC与KPOs未能找到他们的最佳解决方案,可以解决本方法,而利用非绝热跃迁。我们还表明,使用的真空状态作为初始状态导致的鲁棒性对由于耗散的错误,如预期的那样,相比使用一个真正的激发(非真空)状态作为初始状态。因此,目前的工作提供了新的可能性,量子计算和驱动量子系统。

英文摘要:

Adiabatic quantum computation (AQC), which is particularly useful for combinatorial optimization, becomes more powerful by using excited states, instead of ground states. However, the excited-state AQC is prone to errors due to dissipation. Here we propose the excited-state AQC started with the most stable state, i.e., the vacuum state. This counterintuitive approach becomes possible by using a driven quantum system, or more precisely, a network of Kerr-nonlinear parametric oscillators (KPOs). By numerical simulations, we show that some hard instances, where standard ground-state AQC with KPOs fails to find their optimal solutions, can be solved by the present approach, where nonadiabatic transitions are rather utilized. We also show that the use of the vacuum state as an initial state leads to robustness against errors due to dissipation, as expected, compared to the use of a really excited (nonvacuum) state as an initial state. Thus, the present work offers new possibilities for quantum computation and driven quantum systems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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