首页> 外文会议>Foundations of Computer Science, 2004. Proceedings. 45th Annual IEEE Symposium on >Quantum and classical strong direct product theorems and optimal time-space tradeoffs
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Quantum and classical strong direct product theorems and optimal time-space tradeoffs

机译:量子和经典强直接乘积定理和最佳时空折衷

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A strong direct product theorem says that if we want to compute k independent instances of a function, using less than k times the resources needed for one instance, then our overall success probability is exponentially small in k. We establish such theorems for the classical as well as quantum query complexity of the OR function. This implies slightly weaker direct product results for all total functions. We prove a similar result for quantum communication protocols computing k instances of the disjointness function. These results imply a time-space tradeoff T/sup 2/S = /spl Omega/(N/sup 3/) for sorting N items on a quantum computer, which is optimal up to polylog factors. They also give several tight time-space and communication-space tradeoffs for the problems of Boolean matrix-vector multiplication and matrix multiplication.
机译:一个很强的直接乘积定理说,如果我们要使用一个实例所需的资源少于k倍来计算函数的k个独立实例,那么我们的整体成功概率就成倍地减小了k。我们为“或”函数的经典以及量子查询复杂性建立了这样的定理。这意味着所有全部功能的直接乘积结果都较弱。我们证明了计算不相交函数的k个实例的量子通信协议的相似结果。这些结果暗示了用于在量子计算机上对N个项目进行排序的时空折衷T / sup 2 / S = / spl Omega /(N / sup 3 /),这在多对数因子之前是最佳的。对于布尔矩阵向量乘法和矩阵乘法问题,它们还给出了几个紧密的时空和通信空间权衡。

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