How powerful is adiabatic quantum computation?

W. V. Dam, M. Mosca, U. Vazirani
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引用次数: 290

Abstract

The authors analyze the computational power and limitations of the recently proposed 'quantum adiabatic evolution algorithm'. Adiabatic quantum computation is a novel paradigm for the design of quantum algorithms; it is truly quantum in the sense that it can be used to speed up searching by a quadratic factor over any classical algorithm. On the question of whether this new paradigm may be used to efficiently solve NP-complete problems on a quantum computer, we show that the usual query complexity arguments cannot be used to rule out a polynomial time solution. On the other hand, we argue that the adiabatic approach may be thought of as a kind of 'quantum local search'. We design a family of minimization problems that is hard for such local search heuristics, and establish an exponential lower bound for the adiabatic algorithm for these problems. This provides insights into the limitations of this approach. It remains an open question whether adiabatic quantum computation can establish an exponential speed-up over traditional computing or if there exists a classical algorithm that can simulate the quantum adiabatic process efficiently.
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绝热量子计算有多强大?
作者分析了最近提出的“量子绝热进化算法”的计算能力和局限性。绝热量子计算是一种新的量子算法设计范式;在某种意义上,它是真正的量子,它可以用来加速搜索,通过二次因子比任何经典算法。关于这种新范式是否可以用于有效地解决量子计算机上的np完全问题的问题,我们表明,通常的查询复杂性参数不能用于排除多项式时间解。另一方面,我们认为绝热方法可以被认为是一种“量子局部搜索”。我们设计了一类局部搜索启发式算法难以解决的最小化问题,并为这些问题的绝热算法建立了指数下界。这提供了对这种方法的局限性的见解。绝热量子计算是否能够比传统计算建立指数级的加速,或者是否存在一种经典算法可以有效地模拟量子绝热过程,仍然是一个悬而未决的问题。
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