True Random Number Generators on IQM Spark
Andrzej Gnatowski, Jaros{\l}aw Rudy, Teodor Ni\.zy\'nski, Krzysztof \'Swi\k{e}cicki

TL;DR
This paper presents a comprehensive study of true random number generators on the IQM superconducting quantum computer, analyzing 105 circuit variants to evaluate their randomness quality using standard NIST test suites.
Contribution
First study to utilize the IQM superconducting architecture for quantum TRNGs, analyzing a large set of circuits on real hardware rather than simulations.
Findings
Generated 1 million bits per circuit variant
Performed extensive randomness testing with NIST standards
Compared quantum TRNG performance across multiple circuit types
Abstract
Random number generation is fundamental for many modern applications including cryptography, simulations and machine learning. Traditional pseudo-random numbers may offer statistical unpredictability, but are ultimately deterministic. On the other hand, True Random Number Generation (TRNG) offers true randomness. One way of obtaining such randomness are quantum systems, including quantum computers. As such the use of quantum computers for TRNG has received considerable attention in recent years. However, existing studies almost exclusively consider IBM quantum computers, often stop at using simulations and usually test only a handful of different TRNG quantum circuits. In this paper, we address those issues by presenting a study of TRNG circuits on Odra 5 a real-life quantum computer installed at Wroc{\l}aw University of Science and Technology. It is also the first study to utilize the…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Chaos-based Image/Signal Encryption · Quantum-Dot Cellular Automata
