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Found 2 papers, 1 papers with code
Practical and efficient quantum circuit synthesis and transpiling with Reinforcement Learning
This paper demonstrates the integration of Reinforcement Learning (RL) into quantum transpiling workflows, significantly enhancing the synthesis and routing of quantum circuits.
Black-box superconducting circuit quantization
We present a semi-classical method for determining the effective low-energy quantum Hamiltonian of weakly anharmonic superconducting circuits containing mesoscopic Josephson junctions coupled to electromagnetic environments made of an arbitrary combination of distributed and lumped elements.
Mesoscale and Nanoscale Physics Quantum Physics
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