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» Evolving Quantum Circuits Using Genetic Algorithm
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GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
13 years 11 months ago
Multi-objective optimization tool for a free structure analog circuits design using genetic algorithms and incorporating parasit
This paper presents a novel approach for a free structure analog circuit design using Genetic Algorithms (GA). A major problem in a free structure circuit is its sensitivity calcu...
Yaser M. A. Khalifa, Badar K. Khan, Faisal Taha
STOC
1998
ACM
112views Algorithms» more  STOC 1998»
13 years 11 months ago
Quantum Circuits with Mixed States
Current formal models for quantum computation deal only with unitary gates operating on “pure quantum states”. In these models it is difficult or impossible to deal formally w...
Dorit Aharonov, Alexei Kitaev, Noam Nisan
GECCO
2005
Springer
177views Optimization» more  GECCO 2005»
14 years 28 days ago
Evolving next generation signal compression and reconstruction transforms via genetic algorithms
Ongoing research has established a new methodology for using genetic algorithms [2] to evolve forward and inverse transforms that significantly reduce quantization error in recons...
Frank W. Moore, Patrick Marshall
DATE
2004
IEEE
144views Hardware» more  DATE 2004»
13 years 11 months ago
Smaller Two-Qubit Circuits for Quantum Communication and Computation
We show how to implement an arbitrary two-qubit unitary operation using any of several quantum gate libraries with small a priori upper bounds on gate counts. In analogy to librar...
Vivek V. Shende, Igor L. Markov, Stephen S. Bulloc...
ISVLSI
2007
IEEE
205views VLSI» more  ISVLSI 2007»
14 years 1 months ago
An Automated Passive Analog Circuit Synthesis Framework using Genetic Algorithms
In this work, we present a genetic algorithm based automated circuit synthesis framework for passive analog circuits. A procedure is developed for the simultaneous generation of b...
Angan Das, Ranga Vemuri