Pau L-F, Borza P N
CBS, Copenhagen, Denmark.
Upgötva AB, Stockholm, Sweden.
Heliyon. 2023 Jul 22;9(8):e18593. doi: 10.1016/j.heliyon.2023.e18593. eCollection 2023 Aug.
Earlier reports have described a quantum computing architecture, in which key elements are derived from control functions in biology. In this further continuing research, focus is on the signaling and control of a flow of qubits in that architecture, mimicking synapse signals and neurological controls. After a short description of that architecture, and of quantum sensing elements, it is first shown how the coloring of quantum particle flows, implemented as in mathematical colored algebras, can reduce decoherence and enhance the decidability of quantum processing elements. Next, after reviewing specific human biology functions, and exploiting experimental results on excitation modes in live animals, it is shown how to achieve separation of the quantum control & signaling signals. Technologies and designs from particle physics are discussed as well as open research issues towards a realization of a quantum computing architecture with decidable signaling.
早期报告描述了一种量子计算架构，其中关键元素源自生物学中的控制功能。在这项进一步的持续研究中，重点是该架构中量子比特流的信号传输和控制，模仿突触信号和神经控制。在简要描述该架构和量子传感元件之后，首先展示了如何像在数学着色代数中那样对量子粒子流进行着色，这可以减少退相干并提高量子处理元件的可判定性。接下来，在回顾特定的人类生物学功能并利用活体动物激发模式的实验结果之后，展示了如何实现量子控制信号和信令信号的分离。讨论了来自粒子物理学的技术和设计，以及实现具有可判定信令的量子计算架构的开放研究问题。
