103 citations · 103 across the 3 of their papers we have counts for
3 papers
quant-ph2025
Predicting open quantum dynamics with data-informed quantum-classical dynamics
Pinchen Xie, Ke Wang, Anupam Mitra +4
We introduce a data-informed quantum-classical dynamics (DIQCD) approach for predicting the evolution of an open quantum system. The equation of motion in DIQCD is a Lindblad equat…
cs.LG2025
AutoTandemML: Active Learning Enhanced Tandem Neural Networks for Inverse Design Problems
Luka Grbcic, Juliane Müller, Wibe Albert de Jong
Inverse design in science and engineering involves determining optimal design parameters that achieve desired performance outcomes, a process often hindered by the complexity and h…
quant-ph2020★ 103 cited
Classical Optimizers for Noisy Intermediate-Scale Quantum Devices
Wim Lavrijsen, Ana Tudor, Juliane Müller +2
We present a collection of optimizers tuned for usage on Noisy Intermediate-Scale Quantum (NISQ) devices. Optimizers have a range of applications in quantum computing, including th…