Yuri Manin on Biomolecules as Quantum Computers

In TAO https://tarxiv.org/tao Volume 2021 https://tarxiv.org/tao.2021 Issue 02 https://tarxiv.org/tao.2021‑02

Bollinger, T., Yuri Manin on Biomolecules as Quantum Computers, TAO Phys. 2021, 0205 (2021). https://doi.org/10.48034/20210205 https://doi.org/10.48034/20210205

Full article (PDF) https://tarxiv.org/tao.2021‑02‑05.pdf BibTex Citation https://tarxiv.org/tao.2021‑02‑05 Bollinger - Yuri Manin on Biomolecules as Quantum Computers.bib.txt

In 1980, Russian mathematician Yuri Manin published Computable and Uncomputable. On pages 14 and 15 of his introduction, Manin suggests that “Molecular biology furnishes examples of the behavior of natural (not engineered by humans) systems which we have to describe in terms initially devised for discrete automata.” Manin then describes the remarkable energy efficiency of naturally occurring biomolecular processes such as DNA replication. He proposes modeling such behaviors in terms of unitary rotations in a finite-dimensional Hilbert space. The decomposition of such systems then corresponds to the tensor product decomposition of the state space, that is, to quantum entanglement. Manin’s initial focus on biological molecules as examples of highly energy-efficient quantum automata is unique among quantum computing’s founding figures since both he and other early leaders quickly moved to the then-new and exciting concept of von Neumann automata. The von Neumann formalism reinterpreted molecular quantum computing in terms of qubits, which made it possible to imagine the power of quantum computing as not much more than a superposition of virtual binary computers. This paper provides the original excerpt of Manin’s molecular computing argument. A useful analytical feature of Manin’s pre-von-Neumann model of quantum computation is its openness to new formalisms that avoid accidentally making classical physics dominant over the quantum world by expressing quantum states only in terms of concepts such as automata that assume extreme classical precision and complexity.

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