Pulse-based variational quantum optimization and metalearning in superconducting circuits
Solving optimization problems using variational algorithms stands out as a crucial
application for noisy intermediate-scale devices. Instead of constructing gate-based …
application for noisy intermediate-scale devices. Instead of constructing gate-based …
Physics-informed neural networks for an optimal counterdiabatic quantum computation
A Ferrer-Sánchez, C Flores-Garrigos… - Machine Learning …, 2024 - iopscience.iop.org
Physics-informed neural networks for an optimal counterdiabatic quantum computation -
IOPscience Skip to content IOP Science home Accessibility Help Search Journals Journals list …
IOPscience Skip to content IOP Science home Accessibility Help Search Journals Journals list …
Beyond Quantum Annealing: Optimal control solutions to MaxCut problems
Quantum Annealing (QA) relies on mixing two Hamiltonian terms, a simple driver and a
complex problem Hamiltonian, in a linear combination. The time-dependent schedule for …
complex problem Hamiltonian, in a linear combination. The time-dependent schedule for …