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quant-ph2025
Quantum circuit evolutionary framework applied on set partitioning problem
Bruno Oziel Fernandez, Rodrigo Bloot, Marcelo Moret
Quantum algorithms are of great interest for their possible use in optimization problems. In particular, variational algorithms that use classical counterparts to optimize paramete…
quant-ph2025
Avoiding convergence stagnation in a quantum circuit evolutionary framework through an adaptive cost function
Bruno Oziel Fernandez, Rodrigo Bloot, Marcelo Moret
Binary optimization problems are emerging as potential candidates for useful applications of quantum computing. Among quantum algorithms, the quantum approximate optimization algor…
quant-ph2023
Evolutionary-enhanced quantum supervised learning model
Anton Simen Albino, Rodrigo Bloot, Otto M. Pires +1
Quantum supervised learning, utilizing variational circuits, stands out as a promising technology for NISQ devices due to its efficiency in hardware resource utilization during the…