Non-deterministic random bit generator based on electronics noise

We demonstrate a quantum random number generator based on the random nature of the phase difference between two independent laser sources. The speed of random bit generation is determined by the photodetector bandwidth and the linewidth of the lasers used. The system implemented is robust and generates a probability distribution of quantum origin which is intrinsically uniform and thus in principle needs no randomness extraction. The phase is measured with telecom equipment r...

Random Number Generators are critical components of modern cryptosystems. Quantum Random Number Generators (QRNG) have emerged to provide high-quality randomness for these applications. Here we describe a scheme to extract random numbers using balanced detection of shot noise from an LED in a commercially available off-the-shelf package. The balanced detection minimizes classical noise contributions from the optical field, improving the isolation of the quantum noise. We pres...

Perpendicular magnetic tunnel junctions (pMTJs) actuated by nanosecond pulses are emerging as promising devices for true random number generation (TRNG) due to their intrinsic stochastic behavior and high throughput. In this work, we study the tunability and quality of random-number distributions generated by pMTJs operating at a frequency of 104 MHz. First, changing the pulse amplitude is used to systematically vary the probability bias. The variance of the resulting bitstre...

We have carried out extensive statistical, bit level and visual tests of several random number generators used in the applications of physics. Two of the generators tested were recently included in a paper by Ferrenberg {\it et al.} (Phys. Rev. Lett. {\bf 68}, 3382 (1992)) who reported correlations in their Monte Carlo simulations. As a possible explanation of this, they suggest bit level correlations in the random numbers. However, our tests find no evidence of such correlat...

This article introduces an algorithm to draw random discrete uniform variables within a given range of size n from a source of random bits. The algorithm aims to be simple to implement and optimal both with regards to the amount of random bits consumed, and from a computational perspective---allowing for faster and more efficient Monte-Carlo simulations in computational physics and biology. I also provide a detailed analysis of the number of bits that are spent per variate, a...

A new class of energy-efficient digital microprocessor is being developed which is susceptible to thermal noise and consequently operates in probabilistic rather than conventional deterministic mode. Hybrid computing systems which combine probabilistic and deterministic processors can provide robust and efficient tools for computational problems that hitherto would be intractable by conventional deterministic algorithm. These developments suggest a revised perspective on the ...

This is a set of lecture notes of a course on statistical physics and thermodynamics, which is oriented, to a certain extent, towards electrical engineering students. The main body of the lectures is devoted to statistical physics, whereas much less emphasis is given to the thermodynamics part. In particular, the idea is to let the most important results of thermodynamics (most notably, the laws of thermodynamics) to be obtained as conclusions from the derivations in statisti...

This work shows how a secure Internet can be implemented through a fast key distribution system that uses physical noise to protect the transmitted information. Starting from a shared random sequence $K_0$ between two (or more) users, longsequences $R$ of random bits can be shared. The signals sent over the Internet are deterministic but have a built-in Nature-made uncertainty that protects the shared sequences. After privacy amplification the shared $R$ random bits --encrypt...

We propose a novel approach for precision measurement utilizing an ensemble of probabilistic bits (p-bits). This method leverages the inherent fluctuations of p-bits to achieve high sensitivity in various applications, including magnetic field sensing, temperature monitoring and timekeeping. The sensitivity scales proportionally to the square root of the total number of p-bits, enabling unprecedented accuracy with large ensembles. Furthermore, the robustness of this method ag...

Stochastic devices have the potential to disrupt computing, revolutionizing low-power machine learning acceleration, probabilistic computing, and hardware security. As implemented, however, superparamagnetic tunnel junctions (sMTJs) face significant challenges including the need for external magnetic fields, and poor reliability and scalability. Here, we present experimental demonstration of three-terminal sMTJs as scalable and reliable sources of true randomness under a fiel...