Quantum optimal control in quantum technologies. Strategic report on current status, visions and goals for research in Europe

CP Koch, U Boscain, T Calarco, G Dirr… - EPJ Quantum …, 2022 - epjqt.epj.org
Quantum optimal control, a toolbox for devising and implementing the shapes of external
fields that accomplish given tasks in the operation of a quantum device in the best way …

Learning quantum systems

V Gebhart, R Santagati, AA Gentile, EM Gauger… - Nature Reviews …, 2023 - nature.com
The future development of quantum technologies relies on creating and manipulating
quantum systems of increasing complexity, with key applications in computation, simulation …

Artificial intelligence and machine learning for quantum technologies

M Krenn, J Landgraf, T Foesel, F Marquardt - Physical Review A, 2023 - APS
In recent years the dramatic progress in machine learning has begun to impact many areas
of science and technology significantly. In the present perspective article, we explore how …

Modern applications of machine learning in quantum sciences

A Dawid, J Arnold, B Requena, A Gresch… - arxiv preprint arxiv …, 2022 - arxiv.org
In these Lecture Notes, we provide a comprehensive introduction to the most recent
advances in the application of machine learning methods in quantum sciences. We cover …

Gradient-ascent pulse engineering with feedback

R Porotti, V Peano, F Marquardt - PRX Quantum, 2023 - APS
Efficient approaches to quantum control and feedback are essential for quantum
technologies, from sensing to quantum computation. Open-loop control tasks have been …

Pareto-optimal cycles for power, efficiency and fluctuations of quantum heat engines using reinforcement learning

PA Erdman, A Rolandi, P Abiuso… - Physical Review …, 2023 - APS
The full optimization of a quantum heat engine requires operating at high power, high
efficiency, and high stability (ie, low power fluctuations). However, these three objectives …

Optimal control of families of quantum gates

F Sauvage, F Mintert - Physical Review Letters, 2022 - APS
Quantum optimal control (QOC) enables the realization of accurate operations, such as
quantum gates, and supports the development of quantum technologies. To date, many …

Model-free optimization of power/efficiency tradeoffs in quantum thermal machines using reinforcement learning

PA Erdman, F Noé - PNAS nexus, 2023 - academic.oup.com
A quantum thermal machine is an open quantum system that enables the conversion
between heat and work at the micro or nano-scale. Optimally controlling such out-of …

Protocol discovery for the quantum control of majoranas by differentiable programming and natural evolution strategies

L Coopmans, D Luo, G Kells, BK Clark, J Carrasquilla - PRX Quantum, 2021 - APS
Quantum control, which refers to the active manipulation of physical systems described by
the laws of quantum mechanics, constitutes an essential ingredient for the development of …

Near-optimal control of dynamical systems with neural ordinary differential equations

L Böttcher, T Asikis - Machine Learning: Science and Technology, 2022 - iopscience.iop.org
Near-optimal control of dynamical systems with neural ordinary differential equations -
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