Quantum Kernel Alignment with Stochastic Gradient Descent
Gian Gentinetta, David Sutter, et al.
QCE 2023
Among the many computational challenges faced across different disciplines, quantum-mechanical systems pose some of the hardest ones and offer a natural playground for the growing field of quantum technologies. In this Perspective, we discuss quantum algorithmic solutions for quantum dynamics, reporting on the latest developments and offering a viewpoint on their potential and current limitations. We present some of the most promising areas of application and identify possible research directions for the coming years.
Gian Gentinetta, David Sutter, et al.
QCE 2023
Iskandar Sitdikov, Jennifer Glick, et al.
APS March Meeting 2023
Alistair Letcher, Stefan Woerner, et al.
ML-Obergurgl 2024
Francesco Tacchino, Alessandro Chiesa, et al.
Journal of Materials Chemistry C