Improved circuits for a biologically-inspired random pulse computer
Mario Stip\v{c}evi\'c, Mateja Bateli\'c

TL;DR
This paper introduces improved circuits for a universal, biologically-inspired random pulse computer that uses quantum-derived randomness for better precision and speed in stochastic unipolar computation.
Contribution
The paper presents novel circuits for Random Pulse Computing that leverage quantum-based randomness, enhancing accuracy and computational speed over previous deterministic methods.
Findings
Enhanced circuit design for RPC with quantum randomness
Improved computational precision and speed
Potential for universal, biologically-inspired computing
Abstract
We present improved circuits intended for building a universal computer based on Random Pulse Computing (RPC) paradigm, a biologically-inspired way of computation in which variable is represented by a frequency of a Random Pulse Train (RPT) rather than a logic state. The RPC we mention here is also known as "stochastic unipolar computation" in newer literature. Unlike in previous art, where randomness is obtained from electronics noise or a pseudorandom shift register while processing circuitry is deterministic, in our approach both variable generation and signal processing rely on the random flip-flop (RFF) whose randomness is derived from a fundamentally random quantum process. This offers advantage in better precision and faster calculation.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Neural Networks and Reservoir Computing · Neural Networks and Applications
