From Digital computers to quantum computers based on biological paradigms and progress in particle physics
The paper compares quantum processing architectures inspired from biology with conventional sequential Turing computing architectures.
Louis Pau

While several paths have emerged in microelectronics and computing as follow-on's to Turing architectures, and have been implemented using essentially silicon circuits, very little beyond Moore research has considered: (1) biological processes instead of sequential instructions, and, (2) the implementation of these processes by utilizing 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 to create a novel computing architecture, with interfaces, information storage, and programmability.
Quantum computing faces significant technological challenges, but far too little importance has been given to the necessary architectures for classes of computations. Biological interactions offer here very interesting opportunities especially in terms of self-regulation facilitating decidability. The project has also achieved interesting results by 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. Finally, experimental results have been obtained, and a patented biological feedback process specified , about light and acoustic excitations in a live animal species to enhance reactivity; these results are directly relevant when a quantum computing architecture includes qubits processing elements simulating a synapse.
The project focusses on architectural aspects in quantum computing, not on computational technologies. The formalisms used from biology and coloured algebras help develop quantum architectures akin signal processors.
The paper compares quantum processing architectures inspired from biology with conventional sequential Turing computing architectures.
Decoherence results derived from a modeling with the help of coloured algebras are provided, besides experimental results and a derived patent.