Florian Marquardt
3 papers in the PaperMetrix corpus
Papers by this author
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Quantum circuit optimization with deep reinforcement learning
2021 · arXiv (Cornell University)
A central aspect for operating future quantum computers is quantum circuit optimization, i.e., the search for efficient realizations of quantum algorithms given the device capabilities. In recent years, powerful approaches have been developed which focus …
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Deep recurrent networks predicting the gap evolution in adiabatic quantum computing
2023 · Quantum
In adiabatic quantum computing finding the dependence of the gap of the Hamiltonian as a function of the parameter varied during the adiabatic sweep is crucial in order to optimize the speed of the computation. …
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Scaling the Automated Discovery of Quantum Circuits via Reinforcement Learning with Gadgets
2025 · arXiv (Cornell University)
Reinforcement Learning (RL) has established itself as a powerful tool for designing quantum circuits, which are essential for processing quantum information. RL applications have typically focused on circuits of small to intermediate complexity, as computation …