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
  • [31] Construction of a class of quantum Boolean functions based on the Hadamard matrix
    Jiao Du
    Shan-qi Pang
    Qiao-yan Wen
    Jie Zhang
    Acta Mathematicae Applicatae Sinica, English Series, 2015, 31 : 1013 - 1020
  • [32] The Table-Hadamard GRNG: An Area-Efficient FPGA Gaussian Random Number Generator
    Thomas, David B.
    ACM TRANSACTIONS ON RECONFIGURABLE TECHNOLOGY AND SYSTEMS, 2015, 8 (04)
  • [33] Employing online quantum random number generators for generating truly random quantum states in Mathematica
    Miszczak, Jaroslaw Adam
    COMPUTER PHYSICS COMMUNICATIONS, 2013, 184 (01) : 257 - 258
  • [34] EEG-Based Random Number Generators
    Dang Nguyen
    Dat Tran
    Ma, Wanli
    Khoa Nguyen
    NETWORK AND SYSTEM SECURITY, 2017, 10394 : 248 - 256
  • [35] Towards Laser-based Photonic Chip Integrated Quantum Random Number Generators
    Sabuncu, M.
    LASERS IN ENGINEERING, 2016, 33 (1-3) : 117 - 127
  • [36] Quantum Key Distribution Based on Multi-qubit Hadamard Matrices
    Huang, Dazu
    Chen, Zhigang
    FOURTH INTERNATIONAL SYMPOSIUM ON INFORMATION ASSURANCE AND SECURITY, PROCEEDINGS, 2008, : 333 - 337
  • [37] The use of beam and fiber splitters in quantum random number generators based on vacuum fluctuations
    Ivanova, A. E.
    Chivilikhin, S. A.
    Gleim, A. V.
    NANOSYSTEMS-PHYSICS CHEMISTRY MATHEMATICS, 2016, 7 (02): : 378 - 383
  • [38] An Improved Quantum Private Set Intersection Protocol Based on Hadamard Gates
    Wen-Jie Liu
    Wen-Bo Li
    Hai-Bin Wang
    International Journal of Theoretical Physics, 2022, 61
  • [39] Verifiable dynamic quantum secret sharing based on generalized Hadamard gate
    Rathi, Deepa
    Kumar, Sanjeev
    QUANTUM INFORMATION PROCESSING, 2024, 23 (10)
  • [40] Quantum identity authentication using a Hadamard gate based on a GHZ state
    Jian, Liya
    Wang, Yuqi
    Chen, Geng
    Zhou, Yi
    Liu, Shiming
    JOURNAL OF PHYSICS B-ATOMIC MOLECULAR AND OPTICAL PHYSICS, 2023, 56 (07)