A Probabilistic Chemical Programmable Computer
Abhishek Sharma, Marcus Tze-Kiat Ng, Juan Manuel Parrilla Gutierrez,, Yibin Jiang, Leroy Cronin

TL;DR
This paper introduces a hybrid chemical-digital probabilistic computer using interconnected chemical oscillators, enabling scalable computation beyond electronic limits through chemical reactions, error correction, and cellular automata.
Contribution
It presents a novel hybrid chemical-digital architecture with programmable chemical oscillators for scalable probabilistic computation and problem-solving.
Findings
Implemented chemical cellular automata models.
Demonstrated solutions to combinatorial optimization problems.
Showed efficient hybrid chemical-digital computation.
Abstract
The exponential growth of the power of modern digital computers is based upon the miniaturisation of vast nanoscale arrays of electronic switches, but this will be eventually constrained by fabrication limits and power dissipation. Chemical processes have the potential to scale beyond these limits performing computations through chemical reactions, yet the lack of well-defined programmability limits their scalability and performance. We present a hybrid digitally programmable chemical array as a probabilistic computational machine that uses chemical oscillators partitioned in interconnected cells as a computational substrate. This hybrid architecture performs efficient computation by distributing between chemical and digital domains together with error correction. The efficiency is gained by combining digital with probabilistic chemical logic based on nearest neighbour interactions and…
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Taxonomy
TopicsCellular Automata and Applications · DNA and Biological Computing · Quantum-Dot Cellular Automata
