Presentation
RCGP: An Automatic Synthesis Framework for Reversible Quantum-Flux-Parametron Logic Circuits based on Efficient Cartesian Genetic Programming
DescriptionReversible computing has gained increasing attention as a prospective solution for energy dissipation, particularly in quantum computing. As the first practical reversible logic gate using adiabatic superconducting devices, reversible quantum-flux-parametron (RQFP) has been experimentally demonstrated in logical and physical reversibility. However, due to its unique logic function and structure, RQFP logic circuit design poses enormous challenges. Furthermore, circuit scale severely limits the existing exact logic synthesis method for RQFP logic. Therefore, this paper proposes an automatic Cartesian genetic programming-based synthesis framework to generate RQFP logic circuits. Experimental results on reversible logic benchmarks demonstrate RCGP's effectiveness.
Event Type
Research Manuscript
TimeTuesday, June 252:42pm - 3:00pm PDT
Location3002, 3rd Floor
Design
Quantum Computing