S. T. de Oliveira, J. S. de Andrade, G. L. de Oliveira, R. V. Ramos
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引用次数: 0
Abstract
In the present work, the randomness measure based on the disentropy of the autocorrelation function is used to quantify the randomness of binary sequences produced by quantum random number generators (QRNG). A homemade QRNG based on vacuum fluctuations and the Quantis QRNG, developed by IDQuantique and whose data are available at http://qrng.ethz.ch/live/, are analyzed. Our results show that the disentropy of the autocorrelation is a useful tool for performance analysis of QRNGs.
期刊介绍：
Quantum Information Processing is a high-impact, international journal publishing cutting-edge experimental and theoretical research in all areas of Quantum Information Science. Topics of interest include quantum cryptography and communications, entanglement and discord, quantum algorithms, quantum error correction and fault tolerance, quantum computer science, quantum imaging and sensing, and experimental platforms for quantum information. Quantum Information Processing supports and inspires research by providing a comprehensive peer review process, and broadcasting high quality results in a range of formats. These include original papers, letters, broadly focused perspectives, comprehensive review articles, book reviews, and special topical issues. The journal is particularly interested in papers detailing and demonstrating quantum information protocols for cryptography, communications, computation, and sensing.
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