Preprint Communication Version 1 Preserved in Portico This version is not peer-reviewed

High precision voltage measurement for optical quantum computation

Version 1 : Received: 31 December 2021 / Approved: 17 January 2022 / Online: 17 January 2022 (17:27:41 CET)

A peer-reviewed article of this Preprint also exists.

Wereszczyński, K.; Michalczuk, A.; Paszkuta, M.; Gumiela, J. High-Precision Voltage Measurement for Optical Quantum Computation. Energies 2022, 15, 4205. Wereszczyński, K.; Michalczuk, A.; Paszkuta, M.; Gumiela, J. High-Precision Voltage Measurement for Optical Quantum Computation. Energies 2022, 15, 4205.

Abstract

We communicate the theoretical results in the study of utilizing the quantum phenomena in optical current for quantum computation in the context of high precision voltage measurements. These results can be used around computation by quantum sampling and quantum communication as the basis for further research and physical implementations. We propose a Main Optical Setup (MOS) for such computation which allows to make a superstructure to implement specific computations and algorithms. To create MOS we used the nonlinear units (e.g., beta- barium borate crystal), arranged in series, powered with pulsed laser pump, and ended with the beam splitter to generate the output state of a number of entangled photon pairs. The computation is made by propagation of entanglement with beam splitters applied crossword and adjustable phase shifters that are tools for parameter steering. We show how to implement the series of cosine-based components on the example of two-component case. The results opens a broad area for future research in the area of building quantum optimizer using the quantum sampling methods and in the area of high precision temporal measurement of voltage, which is the important process for building high-fidelity devices.

Keywords

quantum computing; quantum optics; quantum optimization; photon entanglement; coincidence measure; photodiodes current measure; voltage measurement

Subject

Computer Science and Mathematics, Computer Science

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