基于IBM Q经验的QTRNG旋转和相位量子门模拟

IF 1.3 4区 物理与天体物理 Q3 PHYSICS, MULTIDISCIPLINARY
Vaishnavi Kumar, Amirtharajan R, John Bosco Balaguru R, Padmapriya Pravinkumar
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引用次数: 0

摘要

从随机模拟到许多其他应用,特别是密码学,真随机数在许多应用中都是至关重要的。对于真正随机性的追求通常被认为是不可能仅通过经典方法实现的。这种见解使得在现实的量子场景中产生一个好的随机数生成器的各种建议的构建成为可能。在IBM的云平台上,提出了一种新的基于旋转和相位量子门的快速24量子位量子真随机数生成器(QTRNG)。它是一个可证明的真随机数,因为它是基于量子过程并通过QISKIT进行实验的。生成器的原始输出揭示了量子力学固有性质的基本不可预测性,这与经典物理学不同。从实际执行中产生的数字的可实现的卓越性可能与理论上有希望的解决方案不同。所提出的量子真随机数生成通过IBM量子实验室完成,其架构结果也通过了美国国家标准与技术研究院(NIST)的统计测试800-90B和800-22。这种方法相对有效,因为它可以在我们的设备上本地实现。提出的方法224位流数据具有较高的认证随机性。通过重新启动分析和自相关分析来研究生成的随机比特流的质量。结果输出通过NIST标准统计测试,最小熵值为0.000712。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

True random numbers are crucial in many applications ranging from stochastic simulations to many other applications, especially cryptography. The quest for true randomness is, in general, considered to be impossible with only classical means. This insight enables the construction of various proposals for producing a good random number generator in realistic quantum scenarios. We presented a new fast 24 qubits quantum true random number generator (QTRNG) based on rotation and phase quantum gates on IBM’s cloud platform. It is a provable true random number since it is based on the quantum process and experimented with through QISKIT. The raw output of the generator reveals the foundational unpredictability of quantum mechanics inherent nature, which is different from classical physics. The achievable eminence of the numbers generated from a practical carrying out can differ from the theoretically promising solution. The proposed Quantum True Random Number Generation is accomplished through IBM quantum lab, and its architecture results also passed National Institute of Standards and Technology (NIST) statistical tests 800-90B and 800-22. This method is relatively efficient since it can be implemented locally on our devices. The offered methodology 224 bitstream data has higher certification randomness. The quality of the generated random bitstreams is investigated through restart analysis and autocorrelation analysis. The resulting output passes the NIST standard statistical test with a min-entropy value of 0.000712.

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来源期刊
CiteScore
2.50
自引率
21.40%
发文量
258
审稿时长
3.3 months
期刊介绍: International Journal of Theoretical Physics publishes original research and reviews in theoretical physics and neighboring fields. Dedicated to the unification of the latest physics research, this journal seeks to map the direction of future research by original work in traditional physics like general relativity, quantum theory with relativistic quantum field theory,as used in particle physics, and by fresh inquiry into quantum measurement theory, and other similarly fundamental areas, e.g. quantum geometry and quantum logic, etc.
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