RevCRN: Reversible Analog Computation using Chemical Reaction Networks
The computability of real numbers and functions using Turing Machines has been a central area of theoretical computer science since the mid-20th century. In the late 20th century, it was shown that chemical reactions can serve as a basis for computation using the Chemical Reaction Network (CRN) model. Recent advances in computing real numbers using Deterministic Chemical Reaction Networks (DCRNs) have identified numerous classes of DCRN-computable real numbers. In parallel, the works of R. Landauer and C. H. Bennett, spanning the 1960s to the early 2000s, showed that reversible computing offers significant advantages over irreversible methods, particularly in energy efficiency, motivating...
| Authors | Saptarshi Biswas, James I. Lathrop, Rana D. Parshad |
|---|---|
| Primary category | cs.CC |
| Published | 11 August 2026 |
| Last updated at source | 7 September 2026 |
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