Qubit Reset and Refresh: A Gamechanger for Random Number Generation

Julie Germain, R. Dantu, Mark A. Thompson
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引用次数: 2

Abstract

Generation of random binary numbers for cryptographic use is often addressed using pseudorandom number generating functions in compilers and specialized cryptographic packages. Using the IBM's Qiskit reset functionality, we were able to implement a straight-forward in-line Python function that returns a list of quantum-generated random numbers, by creating and executing a circuit on IBM quantum systems. We successfully created a list of 1000 1024-bit binary random numbers as well as a list of 40,000 25-bit binary random numbers for randomness testing, using the NIST Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications. The quantum-generated random data we tested showed very strong randomness, according to the NIST suite. Previously, IBM's quantum implementation required a single qubit for each bit of data generated in a circuit, making generation of large random numbers impractical. IBM's addition of the reset instruction eliminates this restriction and allows for the creation of functions that can generate a larger quantity of data-bit output, using only a small number of qubits.
量子比特重置和刷新:随机数生成的游戏规则改变者
用于加密的随机二进制数的生成通常使用编译器和专用加密包中的伪随机数生成函数来解决。使用IBM的Qiskit重置功能,我们能够通过在IBM量子系统上创建和执行电路来实现一个直接的内联Python函数,该函数返回量子生成的随机数列表。我们成功地创建了一个包含1000个1024位二进制随机数的列表,以及一个包含40000个25位二进制随机数的列表,用于随机性测试,使用NIST用于加密应用程序的随机数和伪随机数生成器的统计测试套件。我们测试的量子生成的随机数据显示出很强的随机性,根据NIST套件。以前,IBM的量子实现在电路中生成的每一位数据都需要一个量子比特,这使得生成大随机数变得不切实际。IBM添加的重置指令消除了这一限制,并允许创建仅使用少量量子位就能生成大量数据位输出的函数。
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