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 …

One decade of quantum optimal control in the chopped random basis

MM Müller, RS Said, F Jelezko, T Calarco… - Reports on progress …, 2022 - iopscience.iop.org
The chopped random basis (CRAB) ansatz for quantum optimal control has been proven to
be a versatile tool to enable quantum technology applications such as quantum computing …

Theory of overparametrization in quantum neural networks

M Larocca, N Ju, D García-Martín, PJ Coles… - Nature Computational …, 2023 - nature.com
The prospect of achieving quantum advantage with quantum neural networks (QNNs) is
exciting. Understanding how QNN properties (for example, the number of parameters M) …

Introduction to the Pontryagin maximum principle for quantum optimal control

U Boscain, M Sigalotti, D Sugny - PRX Quantum, 2021 - APS
Optimal control theory is a powerful mathematical tool, which has known a rapid
development since the 1950s, mainly for engineering applications. More recently, it has …

[HTML][HTML] Gate-based superconducting quantum computing

S Kwon, A Tomonaga, G Lakshmi Bhai… - Journal of Applied …, 2021 - pubs.aip.org
Quantum computing is considered as a next-generation information processing technology.
The basic element of a quantum computing system is a quantum bit, often called a qubit …

[HTML][HTML] Advances in nano-and microscale NMR spectroscopy using diamond quantum sensors

RD Allert, KD Briegel, DB Bucher - Chemical Communications, 2022 - pubs.rsc.org
Quantum technologies have seen a rapid developmental surge over the last couple of years.
Though often overshadowed by quantum computation, quantum sensors show tremendous …

[HTML][HTML] A tutorial on optimal control and reinforcement learning methods for quantum technologies

L Giannelli, S Sgroi, J Brown, GS Paraoanu… - Physics Letters A, 2022 - Elsevier
Abstract Quantum Optimal Control is an established field of research which is necessary for
the development of Quantum Technologies. In recent years, Machine Learning techniques …

QuanEstimation: An open-source toolkit for quantum parameter estimation

M Zhang, HM Yu, H Yuan, X Wang… - Physical Review …, 2022 - APS
Quantum parameter estimation promises a high-precision measurement in theory; however,
how to design the optimal scheme in a specific scenario, especially under a practical …

QuOCS: The quantum optimal control suite

M Rossignolo, T Reisser, A Marshall, P Rembold… - Computer Physics …, 2023 - Elsevier
Quantum optimal control includes a family of pulse-shaping algorithms that aim to unlock the
full potential of a variety of quantum technologies. The Quantum Optimal Control Suite …

Microwave Control of the Tin-Vacancy Spin Qubit in Diamond with a Superconducting Waveguide

I Karapatzakis, J Resch, M Schrodin, P Fuchs… - Physical Review X, 2024 - APS
Group-IV color centers in diamond are promising candidates for quantum networks due to
their dominant zero-phonon line and symmetry-protected optical transitions that connect to …