'Quantum supremacy' revisited: low-complexity, deterministic solutions of the original Deutsch-Jozsa problem in classical physical systems.

R Soc Open Sci

Department of Electrical and Computer Engineering, Texas A&M University, TAMUS 3128, College Station, TX 77843-3128, USA.

Published: March 2023

The Deutsch-Jozsa (oDJ) problem is for an oracle (realized here as a database) of size , where, according to their claim, the deterministic solution of the problem on a classical Turing computer requires O() computational complexity. They produced the famous Deutsch-Jozsa quantum algorithm that offered an exponential speed-up over the classical computer, namely O[log()] complexity for the solution in a quantum computer. In this paper, the problem is implemented on an instantaneous noise-based logic processor. It is shown that, similarly to the quantum algorithm, the oDJ problem can deterministically be solved with O[log()] complexity. The implication is that by adding a truly random coin to a classical Turing machine and using this classical-physical algorithm can also speed up the deterministic solution of the Deutsch-Jozsa problem exponentially, similarly to the quantum algorithm. Then it is realized that the same database and the solution of the Deutsch-Jozsa problem can also be realized by using an identical algorithmic structure in a simpler way, even without noise/random coin. The only lost function in this new system, as compared with noise-based logic, is the ability to do generic parallel logic operations over the whole database. As the latter feature is not needed for the oDJ problem, it is concluded that the problem can be solved on a classical computer with O[log()] complexity even without a random coin. Therefore, while the oDJ algorithm is a historically important step in the developments of quantum computers, it is insufficient to prove quantum supremacy. Note, there is also a Deutsch-Jozsa problem proposed later, which is more popular in the field; however, it is irrelevant for the present paper.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9974295PMC
http://dx.doi.org/10.1098/rsos.221327DOI Listing

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