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Calculation of quantum entanglement using a genetic algorithm .

机译:用遗传算法计算量子纠缠。

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Quantum entanglement is a multifaceted property that has attracted much attention, since it is used as the basis for such applications as quantum cryptography, quantum teleportation, and quantum computing. The calculation of quantum entanglement therefore has gained importance. As systems that use entanglement have evolved, the calculation of entanglement has become much more complex. A general method was developed for the calculation of entanglement for n-qubit or n-qudit system, based on the relative entropy of entanglement, and using a genetic algorithm technique. The method was tested on a two qubit system, for which there are some known points, and compared to exact calculations using the entanglement of formation and to another approximate method based on a quantum neural network. Advantages and disadvantages of the method and future work are discussed.
机译:量子纠缠是一个多方面的特性,已引起人们的广泛关注,因为它被用作量子密码术,量子隐形传态和量子计算等应用的基础。因此,量子纠缠的计算变得非常重要。随着使用纠缠的系统的发展,纠缠的计算变得更加复杂。基于纠缠的相对熵,并采用遗传算法技术,开发了一种通用的方法来计算n-qubit或n-qudit系统的纠缠度。该方法在一个有两个已知点的两个量子位系统上进行了测试,并与使用地层纠缠的精确计算进行了比较,并与基于量子神经网络的另一种近似方法进行了比较。讨论了该方法的优缺点和今后的工作。

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