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 …

Quantum estimation, control and learning: Opportunities and challenges

D Dong, IR Petersen - Annual Reviews in Control, 2022 - Elsevier
The development of estimation and control theories for quantum systems is a fundamental
task for practical quantum technology. This vision article presents a brief introduction to …

Optimal scheme for quantum metrology

J Liu, M Zhang, H Chen, L Wang… - Advanced Quantum …, 2022 - Wiley Online Library
Quantum metrology can achieve far better precision than classical metrology, and is one of
the most important applications of quantum technologies in the real world. To attain the …

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 …

Robust resource-efficient quantum variational ansatz through an evolutionary algorithm

Y Huang, Q Li, X Hou, R Wu, MH Yung, A Bayat… - Physical Review A, 2022 - APS
Variational quantum algorithms (VQAs) are promising methods to demonstrate quantum
advantage on near-term devices as the required resources are divided between a quantum …

Policy gradient based quantum approximate optimization algorithm

J Yao, M Bukov, L Lin - Mathematical and scientific machine …, 2020 - proceedings.mlr.press
The quantum approximate optimization algorithm (QAOA), as a hybrid quantum/classical
algorithm, has received much interest recently. QAOA can also be viewed as a variational …

A differentiable programming method for quantum control

F Schäfer, M Kloc, C Bruder… - Machine Learning: Science …, 2020 - iopscience.iop.org
Optimal control is highly desirable in many current quantum systems, especially to realize
tasks in quantum information processing. We introduce a method based on differentiable …

Nonlinear quantum neuron: A fundamental building block for quantum neural networks

S Yan, H Qi, W Cui - Physical Review A, 2020 - APS
Quantum computing enables quantum neural networks (QNNs) to have great potential to
surpass artificial neural networks. The powerful generalization of neural networks is …

Breaking adiabatic quantum control with deep learning

Y Ding, Y Ban, JD Martín-Guerrero, E Solano… - Physical Review A, 2021 - APS
In the noisy intermediate-scale quantum era, optimal digitized pulses are requisite for
efficient quantum control. This goal is translated into dynamic programming, in which a deep …

Modeling sequences with quantum states: a look under the hood

TD Bradley, EM Stoudenmire… - … Learning: Science and …, 2020 - iopscience.iop.org
Classical probability distributions on sets of sequences can be modeled using quantum
states. Here, we do so with a quantum state that is pure and entangled. Because it is …