Search Results for author: Lukas J. Fiderer

Found 3 papers, 1 papers with code

Quantum machine learning beyond kernel methods

1 code implementation25 Oct 2021 Sofiene Jerbi, Lukas J. Fiderer, Hendrik Poulsen Nautrup, Jonas M. Kübler, Hans J. Briegel, Vedran Dunjko

Machine learning algorithms based on parametrized quantum circuits are a prime candidate for near-term applications on noisy quantum computers.

BIG-bench Machine Learning Quantum Machine Learning

Neural-Network Heuristics for Adaptive Bayesian Quantum Estimation

no code implementations4 Mar 2020 Lukas J. Fiderer, Jonas Schuff, Daniel Braun

Quantum metrology promises unprecedented measurement precision but suffers in practice from the limited availability of resources such as the number of probes, their coherence time, or non-classical quantum states.

reinforcement-learning

Improving the dynamics of quantum sensors with reinforcement learning

no code implementations22 Aug 2019 Jonas Schuff, Lukas J. Fiderer, Daniel Braun

Recently proposed quantum-chaotic sensors achieve quantum enhancements in measurement precision by applying nonlinear control pulses to the dynamics of the quantum sensor while using classical initial states that are easy to prepare.

reinforcement-learning

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