Simulation of QTRNG on IBM’s Q Experience Using Rotation and Phase Quantum Gates

Kumar, Vaishnavi; Amirtharajan, Rengarajan; R, John Bosco Balaguru; Pravinkumar, Padmapriya

doi:10.1007/s10773-023-05422-9

Cited by 1 publication

(2 citation statements)

References 29 publications

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“…The generation of random numbers using quantum computers available in the cloud is a rapidly evolving field, with a growing number of publications over the last 5 years [13][14][15][16][17][18][32][33][34][35]. These publications are based on quantum superposition, which is a property of quantum mechanics that distinguishes it from classical physics.…”

Section: Methodsmentioning

confidence: 99%

“…This represents the simplest example of measuring qubits in superposition to generate random numbers; however, the results obtained showed that the samples were biased and correlated, necessitating post-processing to pass statistical tests [14]. Subsequent papers have been published using multiple H gates [15] and other combinations of quantum logic gates [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

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Quantum Random Number Generation using Quandela Photonic Quantum Computer

de Souza,

Agostini,

Tarelho

2024

Preprint

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Quantum mechanics, characterized by its intrinsically probabilistic nature, offers a promising avenue for random number generation, which is essential for applications such as cryptography and computational simulations. With the recent advancements in quantum computing and simulation, numerous studies have emerged utilizing these methods for the generation of random numbers. This research delves into the exploration of random number generation utilizing the Ascella photonic quantum computer developed by Quandela, renowned for its implementation of single-photon-based qubits. Leveraging both the Ascella photonic simulator (SIM Ascella) and the quantum processing unit (QPU Ascella) within the Perceval framework, this investigation examines the capability to generate random sequences through the superposition of quantum states, generated using photons and beam splitters. The analysis includes a performance comparison between simulations and experimental tests with the quantum computer, subjecting the outcomes to the NIST SP 800-22 randomness tests. While initial simulations suggested a high degree of randomness, practical implementation revealed certain disparities attributed to factors such as decoherence, imperfections in beam splitters and single-photon sources, as well as quantum noise. This study contributes to the understanding of random number generation on quantum platforms, identifying challenges and limitations while providing strategies for future enhancements in this quantum technology.

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