3 papers
quant-ph2025
AI Methods for Permutation Circuit Synthesis Across Generic Topologies
Victor Villar, Juan Cruz-Benito, Ismael Faro +1
This paper investigates artificial intelligence (AI) methodologies for the synthesis and transpilation of permutation circuits across generic topologies. Our approach uses Reinforc…
quant-ph2025
Pauli Network Circuit Synthesis with Reinforcement Learning
Ayushi Dubal, David Kremer, Simon Martiel +3
We introduce a Reinforcement Learning (RL)-based method for re-synthesis of quantum circuits containing arbitrary Pauli rotations alongside Clifford operations. By collapsing each…
quant-ph2025
Practical and efficient quantum circuit synthesis and transpiling with Reinforcement Learning
David Kremer, Victor Villar, Hanhee Paik +3
This paper demonstrates the integration of Reinforcement Learning (RL) into quantum transpiling workflows, significantly enhancing the synthesis and routing of quantum circuits. By…