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Persistent URL http://purl.org/net/epubs/work/63574809
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Record Id 63574809
Title Random Number Sources in Monte Carlo Simulations
Contributors
Abstract We present the results obtained exploring the differences between pseudo- and quantum-random number generators in Monte Carlo applications. We show that QRNGs allow for smaller sample sizes in simple (pi estimation) and complex (stochastic Schrödinger equation) simulations.
Organisation STFC , HC
Keywords stochastic Schrödinger equation , pseudo-random number generator , quantum random number generator , Monte Carlo
Funding Information
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Licence Information: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Language English (EN)
Type Details URI(s) Local file(s) Year
Presentation Presented at 87. Annual Conference of the DPG and DPG-Frühjahrstagung (DPG Spring Meeting) of the Condensed Matter Section (DPG SKM 2025), Berlin, Germany, 17-22 Mar 2024. DPG24_AL_AM_OIY_E…rcesInMC_final_2.pdf 2024