Biomolecular Quantum Computation

In TAO https://tarxiv.org/tao Volume 2020 https://tarxiv.org/tao.2020 Issue 10 https://tarxiv.org/tao.2020‑10

Bollinger, T., Biomolecular Quantum Computation, TAO Phys. 2020, 1007 (2020). https://doi.org/10.48034/20201007 https://doi.org/10.48034/20201007

Full article (PDF) https://tarxiv.org/tao.2020‑10‑07.pdf BibTex Citation https://tarxiv.org/tao.2020‑10‑07 Bollinger - Biomolecular Quantum Computation.bib.txt

Obsoletes: ob1 https://tarxiv.org/tao.2020‑10‑07.ob1.pdf

Abstract
In terms of leveraging the total power of quantum computing, the prevalent current (2020) model of designing quantum computation devices to follow the von Neuman model of abstraction is highly unlikely to be making full use of the full range of computational assistance possible at the atomic and molecular level. This is particularly the case for molecular modeling, in using computational models that more directly leverage the quantum effects of one set of molecules to estimate the behavior of some other set of molecules would remove the bottleneck of insisting that modeling first be converted to the virtual binary or digital format of quantum von Neuman machines. It is argued that even though this possibility of “fighting molecular quantum dynamics with molecular quantum dynamics” was recognized by early quantum computing founders such as Yuri Manin and Richard Feynman, the idea was quickly overlooked in favor of the more computer-compatible model that later developed into qubits and qubit processing.

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