Quantum many-body simulations on digital quantum computers: State-of-the-art and future challenges
Simulating quantum many-body systems is a key application for emerging quantum
processors. While analog quantum simulation has already demonstrated quantum …
processors. While analog quantum simulation has already demonstrated quantum …
Quantum optimal control in quantum technologies. Strategic report on current status, visions and goals for research in Europe
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 …
fields that accomplish given tasks in the operation of a quantum device in the best way …
[HTML][HTML] The quantum technologies roadmap: a European community view
Within the last two decades, quantum technologies (QT) have made tremendous progress,
moving from Nobel Prize award-winning experiments on quantum physics (1997: Chu …
moving from Nobel Prize award-winning experiments on quantum physics (1997: Chu …
Quantum information processing with superconducting circuits: a review
During the last ten years, superconducting circuits have passed from being interesting
physical devices to becoming contenders for near-future useful and scalable quantum …
physical devices to becoming contenders for near-future useful and scalable quantum …
Training Schrödinger's cat: Quantum optimal control: Strategic report on current status, visions and goals for research in Europe
It is control that turns scientific knowledge into useful technology: in physics and engineering
it provides a systematic way for driving a dynamical system from a given initial state into a …
it provides a systematic way for driving a dynamical system from a given initial state into a …
Introduction to the Pontryagin maximum principle for quantum optimal control
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 …
development since the 1950s, mainly for engineering applications. More recently, it has …
Reinforcement learning in different phases of quantum control
The ability to prepare a physical system in a desired quantum state is central to many areas
of physics such as nuclear magnetic resonance, cold atoms, and quantum computing. Yet …
of physics such as nuclear magnetic resonance, cold atoms, and quantum computing. Yet …
Implementing a universal gate set on a logical qubit encoded in an oscillator
A logical qubit is a two-dimensional subspace of a higher dimensional system, chosen such
that it is possible to detect and correct the occurrence of certain errors. Manipulation of the …
that it is possible to detect and correct the occurrence of certain errors. Manipulation of the …
Leakage reduction in fast superconducting qubit gates via optimal control
Reaching high-speed, high-fidelity qubit operations requires precise control over the shape
of the underlying pulses. For weakly anharmonic systems, such as superconducting …
of the underlying pulses. For weakly anharmonic systems, such as superconducting …
Fast machine-learning online optimization of ultra-cold-atom experiments
We apply an online optimization process based on machine learning to the production of
Bose-Einstein condensates (BEC). BEC is typically created with an exponential evaporation …
Bose-Einstein condensates (BEC). BEC is typically created with an exponential evaporation …