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 …

Real-time quantum error correction beyond break-even

VV Sivak, A Eickbusch, B Royer, S Singh, I Tsioutsios… - Nature, 2023 - nature.com
The ambition of harnessing the quantum for computation is at odds with the fundamental
phenomenon of decoherence. The purpose of quantum error correction (QEC) is to …

Fast universal control of an oscillator with weak dispersive coupling to a qubit

A Eickbusch, V Sivak, AZ Ding, SS Elder, SR Jha… - Nature Physics, 2022 - nature.com
Full manipulation of a quantum system requires controlled evolution generated by nonlinear
interactions, which is coherent when the rate of nonlinearity is large compared with the rate …

High-fidelity, frequency-flexible two-qubit fluxonium gates with a transmon coupler

L Ding, M Hays, Y Sung, B Kannan, J An, A Di Paolo… - Physical Review X, 2023 - APS
We propose and demonstrate an architecture for fluxonium-fluxonium two-qubit gates
mediated by transmon couplers (FTF, for fluxonium-transmon-fluxonium). Relative to …

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 …

Quantum information processing with superconducting circuits: a review

G Wendin - Reports on Progress in Physics, 2017 - iopscience.iop.org
During the last ten years, superconducting circuits have passed from being interesting
physical devices to becoming contenders for near-future useful and scalable quantum …

Experimental deep reinforcement learning for error-robust gate-set design on a superconducting quantum computer

Y Baum, M Amico, S Howell, M Hush, M Liuzzi… - PRX Quantum, 2021 - APS
Quantum computers promise tremendous impact across applications—and have shown
great strides in hardware engineering—but remain notoriously error prone. Careful design of …

Realization of high-fidelity CZ gate based on a double-transmon coupler

R Li, K Kubo, Y Ho, Z Yan, Y Nakamura, H Goto - Physical Review X, 2024 - APS
Striving for higher gate fidelity is crucial not only for enhancing existing noisy intermediate-
scale quantum devices, but also for unleashing the potential of fault-tolerant quantum …

Variational quantum reinforcement learning via evolutionary optimization

SYC Chen, CM Huang, CW Hsing… - Machine Learning …, 2022 - iopscience.iop.org
Recent advances in classical reinforcement learning (RL) and quantum computation point to
a promising direction for performing RL on a quantum computer. However, potential …