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Coloured Algebras and Biological Response in Quantum Biological Computing Architectures

L. F. Pau, Paul Nicolae Borza

Published Jan 1, 2019• 0 citations
Publisher
DOI
10.2139/ssrn.3459694

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This paper reports about progress in two areas towards quantum computing architectures with elements inspired from biological controls, as proposed in an earlier paper.The first area is about exploiting mathematical results in coloured algebras, which, combined with the colouring of particle flows, would reduce the decoherence and enhance the decidability in the quantum processing elements; definitions are being recalled, with the required assumptions and results.The second area is to provide experimental results, and a patented biological feedback process in synapse , about light and acoustic excitations in a live animal species to enhance reactivity; the experimental set-up is characterized , the measurement results provided, and the implications are explicated for quantum processing elements approximating a synapse.A paragraph on open issues explains how the results in the two areas will be combined and will help in the design a very early compiler version.
While several paths have emerged in microelectronics and computing as follow-ons to Turing architectures, and have been implemented using essentially silicon circuits, very little beyond Moore research has considered: (1) first biological processes instead of sequential instructions, and, (2) the implementation of these processes exploiting particle physics interactions. This last combination enables native spatial-temporal integration and correlation, but also powerful interference filtering, gating, splitting and more. These biological functions, their realization by quantum and charge carrier interactions, allow proposing a novel computing architecture, with interfaces, information storage, and programmability. The paper presents the underlying biological processes, the particle physics phenomena which are exploited, and the proposed architecture, as well as an algebraic design formalism.
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.