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Necessity of superposition of macroscopically distinct states for quantum computational speedup

机译:量子计算加速需要宏观不同状态叠加的必要性

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For quantum computation, we investigate the conjecture that the superposition of macroscopically distinct states is necessary for a large quantum speedup. Although this conjecture was supported for a circuit-based quantum computer performing Shor?s factoring algorithm [A. Ukena and A. Shimizu: Phys. Rev. A 69 (2004) 022301], it needs to be generalized for it to be applicable to a large class of algorithms and/or other models such as measurement-based quantum computers. To treat such general cases, we first generalize the indices for the superposition of macroscopically distinct states. We then generalize the conjecture, using the generalized indices, in such a way that it is unambiguously applicable to general models if a quantum algorithm achieves exponential speedup. On the basis of this generalized conjecture, we further extend the conjecture to Grover?s quantum search algorithm, whose speedup is large but quadratic. It is shown that this extended conjecture is also correct. Since Grover?s algorithm is a representative algorithm for unstructured problems, the present result further supports the conjecture.
机译:对于量子计算,我们调查了这样一个猜想:对于大的量子加速,宏观上不同的状态的叠加是必需的。尽管这种猜想在执行Shor?s分解算法的基于电路的量子计算机中得到了支持[A. Ukena和A. Shimizu:物理学。 Rev. A 69(2004)022301],需要对其进行概括,以使其适用于一大类算法和/或其他模型,例如基于测量的量子计算机。为了处理这种一般情况,我们首先将宏观上不同的状态的叠加的索引归纳。然后,我们使用广义索引对猜想进行一般化,以使它在量子算法实现指数加速的情况下明确适用于一般模型。在这个广义猜想的基础上,我们进一步将该猜想扩展到了格罗弗的量子搜索算法,该算法的速度虽然很大,但是是二次方的。结果表明,这种扩展猜想也是正确的。由于格罗弗的算法是针对非结构化问题的一种代表性算法,因此本结果进一步支持了这一猜想。

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