5 papers
Uncovering Latent Structures in Robust Pulse Sequences: A Model-Based Reinforcement Learning Approach for Adaptable Quantum Control
Tobias Kiermeyer, Thomas Heydenreich, Léo Van Damme +3
Real-time adaptive control of quantum systems requires rapid generation of robust, high-fidelity pulses across a continuous range of operating conditions. Standard optimization alg…
Dynamical Decoupling using Universal Optimal Tracking
Amit Devra, Emanuel Malvetti, Niklas J. Glaser +7
Dynamical decoupling (DD) is a widely used and resource-efficient technique for error suppression, but conventional DD relies on periodically repeating a short pulse block to refoc…
Superconducting Qubit Gates Robust to Parameter Fluctuations
Emily Wright, Leo Van Damme, Niklas J. Glaser +14
State-of-the-art single-qubit gates on superconducting transmon qubits can achieve the fidelities required for error-corrected computations. However, parameter fluctuations due to…
Theory and Experimental Demonstration of Wigner Tomography of Unknown Unitary Quantum Gates
Amit Devra, Léo Van Damme, Frederik vom Ende +2
We investigate the tomography of unknown unitary quantum processes within the framework of a finite-dimensional Wigner-type representation. This representation provides a rich visu…
Motion-Insensitive Time-Optimal Control of Optical Qubits
Léo Van Damme, Zhao Zhang, Amit Devra +2
In trapped-atom quantum computers, high-fidelity control of optical qubits is challenging due to the motion of atoms in the trap. If not corrected, the atom motion gets entangled w…