Certified Random Number Generation using Quantum Computers
Pingal Pratyush Nath, Aninda Sinha, Urbasi Sinha

TL;DR
This paper demonstrates a practical method for generating certified random numbers using existing quantum computers by leveraging temporal correlations and the Leggett-Garg inequality, overcoming spatial separation challenges.
Contribution
It introduces a novel approach to certified randomness using temporal correlations, enabling practical implementation on current quantum hardware with low-depth circuits.
Findings
Successfully generated certified random numbers on existing quantum computers.
Validated the use of Leggett-Garg inequality for randomness certification.
Achieved secure randomness with minimal circuit depth.
Abstract
In recent decades, quantum technologies have made significant strides toward achieving quantum utility. However, practical applications are hindered by challenges related to scaling the number of qubits and the depth of circuits. In this paper, we investigate how current quantum computers can be leveraged for practical applications, particularly in generating secure random numbers certified by Quantum Mechanics. While random numbers can be generated and certified in a device-independent manner through the violation of Bell's inequality, this method requires significant spatial separation to satisfy the no-signaling condition, making it impractical for implementation on a single quantum computer. Instead, we employ temporal correlations to generate randomness by violating the Leggett-Garg inequality, which relies on the No-Signaling in Time condition to certify randomness, thus…
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Taxonomy
TopicsComputational Physics and Python Applications · Quantum Computing Algorithms and Architecture · Chaos-based Image/Signal Encryption
