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Finite Temperature Quantum Algorithm And Majorization

机译:有限温度量子算法及主化

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It is often believed that quantum entanglement plays an important role in the speed-up of quantum algorithms. In addition, a few research groups have found that Majorization behavior may also play an important role in some quantum algorithms. In some of our previous work we showed that for a simple spin 1/2 system, consisting of two or three qubits, the value of a Groverian entanglement (a rather useful measure of entanglement) varies inversely with the temperature. In practical terms this means that more iterations of the Grover's algorithm may be needed when a quantum computer is working at finite temperature. That is, the performance of a quantum algorithm suffers due to temperature-dependent changes on the density matrix of the system. Most recently, we have been interested in the behavior of Majorization for the same types of quantum system, and we are trying to determine the relationship between Groverian entanglement and Majorization at finite temperature. As Majorization entails the probability distribution arising out of the evolving quantum state from the probabilities of the final outcomes, our study will reveal how Majorization affects the evolution of Grover's algorithm at finite temperature.
机译:人们通常认为,量子纠缠在量子算法的加速中起着重要作用。此外,一些研究小组发现,专业化行为在某些量子算法中也可能起着重要作用。在我们以前的一些工作中,我们表明,对于一个简单的自旋1/2系统(由两个或三个量子位组成),格罗夫缠结(一种相当有用的缠结度量)的值与温度成反比。实际上,这意味着当量子计算机在有限温度下工作时,可能需要对Grover算法进行更多迭代。也就是说,由于温度依赖于系统密度矩阵的变化,量子算法的性能会受到影响。最近,我们对相同类型的量子系统的Majorization行为感兴趣,并且我们正在尝试确定在有限温度下Groverian纠缠与Majorization之间的关系。由于主化需要从最终结果的概率中演化出的量子态产生概率分布,因此我们的研究将揭示出主化如何影响有限温度下格罗弗算法的演化。

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