Efficient Cartesian Genetic Programming-Based Automatic Synthesis Framework for Reversible Quantum-Flux-Parametron Logic Circuits
Created by W.Langdon from
gp-bibliography.bib Revision:1.8344
- @Article{Fu:TCAD,
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author = "Rongliang Fu and Robert Wille and
Nobuyuki Yoshikawa and Tsung-Yi Ho",
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title = "Efficient Cartesian Genetic Programming-Based
Automatic Synthesis Framework for Reversible
Quantum-Flux-Parametron Logic Circuits",
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journal = "IEEE Transactions on Computer-Aided Design of
Integrated Circuits and Systems",
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keywords = "genetic algorithms, genetic programming, Cartesian
genetic programming, Logic gates, Logic circuits,
Logic, Quantum computing, Inverters, Reversible
computing, Design automation, Energy efficiency, Energy
dissipation, Superconducting electronics, reversible
quantum-flux-parametron, logic synthesis",
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ISSN = "1937-4151",
-
DOI = "
doi:10.1109/TCAD.2025.3546884",
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abstract = "Reversible computing has garnered significant
attention as a promising avenue for achieving
energy-efficient computing systems, particularly within
the realm of quantum computing. The reversible
quantum-flux-parametron (RQFP) is the first practical
reversible logic gate using adiabatic superconducting
devices, with experimental evidence supporting both its
logical and physical reversibility. Each RQFP logic
gate operates on alternating current (AC) power and
features three input ports and three output ports.
Notably, each output port is capable of implementing a
majority function while driving only a single fan-out.
Additionally, the three inputs to each gate must arrive
in the same clock phase. These inherent characteristics
present substantial challenges in the design of RQFP
logic circuits. To address these challenges, this paper
proposes an automatic synthesis framework for RQFP
logic circuit design based on efficient Cartesian
genetic programming (CGP). The framework aims to
minimise both the number of RQFP logic gates and the
number of garbage outputs within the generated RQFP
logic circuit. It incorporates the specific
characteristics of the RQFP logic circuit by encoding
them into the genotype of a CGP individual. It also
introduces several point mutation operations to
facilitate the generation of new individuals.
Furthermore, the framework integrates circuit
simulation with formal verification to assess the
functional equivalence between the parent and its
offspring. Experimental results on RevLib and
reversible reciprocal circuit benchmarks demonstrate
the effectiveness of our framework.",
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notes = "Also known as \cite{10907912}
Department of Computer Science and Engineering, The
Chinese University of Hong Kong, Hong Kong, China",
- }
Genetic Programming entries for
Rongliang Fu
Robert Wille
Nobuyuki Yoshikawa
Tsung-Yi Ho
Citations