2 papers
quant-ph2025
Scaling the Automated Discovery of Quantum Circuits via Reinforcement Learning with Gadgets
Jan Olle, Oleg M. Yevtushenko, Florian Marquardt
Reinforcement Learning (RL) has established itself as a powerful tool for designing quantum circuits, which are essential for processing quantum information. RL applications have t…
quant-ph2024
Localization, fractality, and ergodicity in a monitored qubit
Paul Pöpperl, Igor V. Gornyi, David B. Saakian +1
We study the statistical properties of a single two-level system (qubit) subject to repetitive ancilla-based measurements. This setup is a fundamental minimal model for exploring t…