Hybrid Hadamard and controlled-Hadamard based quantum random number generators in IBM QX

被引:4
|
作者
Salehi, Ramin [1 ]
Razaghi, Mohammad [1 ]
Fotouhi, Bashir [1 ]
机构
[1] Univ Kurdistan, Dept Elect & Commun Engn, Fac Engn, Sanandaj, Iran
关键词
random numbers; Hadamard; quantum computing; IBM QX; controlled-Hadamard;
D O I
10.1088/1402-4896/ac698b
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Designing novel circuits and models for generating truly random numbers is of great importance. Recent attention has been focused on the idea of using real quantum computers to generate random numbers. In order to generate purely random bits and numbers, one method relies on the natural superposition of quantum gates. Here, we design a Quantum Random Number Generator (QRNG) exploiting combinations of Hadamard and controlled-Hadamard gates in IBM Quantum Experience (QX). In order to verify that the generated bit sequences were truly random, the proposed circuit's outputs were subjected to the National Institute of Standards and Technology (NIST) test suite. In comparison to previous works, we found that not only had the total number of passed tests increased, but the P-values had also improved in many cases. For example, in the simulation style of the IBM QX, the number of passed tests is 14 out of 15 standard NIST tests. For the experimental mood of the IBM 16Q Melbourne, the number of passed tests is six without using any extractions. Furthermore, one more test is passed by adding Barrier operations to the circuits, and the P-values have increased. As a result, we found that the proposed method had more passed tests than previous works. The average of P-values for the six passed tests in former research for the mood of using a combination of extractors is about 0.43. However, the best result we can get with our circuits is around 0.60 (the average of P-values for 14 passed tests), which is an improvement of 0.17 compared to former works . Because of this, our circuits are getting ever closer to being a true QRNG.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Quantum random number generator on IBM QX
    Kumar, Vaishnavi
    Pravinkumar, Padmapriya
    JOURNAL OF CRYPTOGRAPHIC ENGINEERING, 2024, 14 (02) : 253 - 259
  • [2] Quantum random number generators
    Herrero-Collantes, Miguel
    Carlos Garcia-Escartin, Juan
    REVIEWS OF MODERN PHYSICS, 2017, 89 (01)
  • [3] Model and algorithm of quantum neural network based on the controlled hadamard gates
    Li, Panchi
    Zhou, Hongyan
    Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2015, 52 (01): : 211 - 220
  • [4] Using hadamard transform for cryptanalysis of pseudo-random generators in stream ciphers
    Sosa-Gómez, Guillermo
    Rojas, Omar
    Páez-Osuna, Octavio
    EAI Endorsed Transactions on Energy Web, 2020, 7 (27)
  • [6] Quantum random number generators and their applications in cryptography
    Stipcevic, Mario
    ADVANCED PHOTON COUNTING TECHNIQUES VI, 2012, 8375
  • [7] SPADs for Quantum Random Number Generators and beyond
    Burri, Samuel
    Stucki, Damien
    Maruyama, Yuki
    Bruschini, Claudio
    Charbon, Edoardo
    Regazzoni, Francesco
    2014 19TH ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE (ASP-DAC), 2014, : 788 - 794
  • [8] Photonic ternary quantum random number generators
    Trejo, Jose Manuel Agueero
    Calude, Cristian S.
    PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2023, 479 (2273):
  • [9] Realization of Quantum Hadamard Gate Based on Lyapunov Method
    Wen, Jie
    Cong, Shuang
    Zou, Xubo
    PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012), 2012, : 5096 - 5101
  • [10] Complexity and properties of a multidimensional Cat-Hadamard map for pseudo random number generation
    Ta Thi Kim Hue
    Thang Manh Hoang
    EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, 2017, 226 (10): : 2263 - 2280