Quantum neural technology and controllable quantum gates

A. Ezhov
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引用次数: 2

Abstract

Quantum neural technology is a hypothetical but promising new field of informatics, which combines together the main ideas of both quantum and neural computing. There is a hope that this combination can resolve many problems of already existing classical neural technology, and also can give new opportunities to future quantum computing. Comparing with classical neural technology its quantum analog can enhance dramatically the capacity of neural modesl of associative memory, to facilitate the creation of neural hardware by eliminating the wiring problem, etc. On the other hand, as it will be argued in presented paper, quantum neural system can be used for realization of controllable quantum gates, which can be used in quantum computers, and in particular, in so-called type-II quantum computers.
量子神经技术与可控量子门
量子神经技术是一个假设但有前途的信息学新领域,它将量子和神经计算的主要思想结合在一起。人们希望这种结合可以解决现有经典神经技术的许多问题,并为未来的量子计算提供新的机会。与经典神经技术相比,量子模拟可以显著提高联想记忆的神经模型容量,消除布线问题,便于神经硬件的创建等。另一方面,正如本文将要讨论的那样,量子神经系统可以用于实现可控制的量子门,可用于量子计算机,特别是所谓的ii型量子计算机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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