3 papers
cond-mat.mtrl-sci2026
QUBO-Compatible Active Learning for Inverse Design of High-Entropy Alloys
Giorgio Silvi, Kirsten Bark, Rolando Reiner +5
Machine-learned forward models can rapidly predict alloy properties, but their use for inverse design remains challenging when the search should also retain compatibility with quad…
quant-ph2024
The impact of noise on the simulation of NMR spectroscopy on NISQ devices
Andisheh Khedri, Pascal Stadler, Kirsten Bark +5
With the surge of quantum computing platforms that continue to push the boundaries of capabilities of noisy intermediate-scale quantum computers, there is a growing interest in fin…
quant-ph2024
Demonstration of system-bath physics on a gate-based quantum computer
Pascal Stadler, Matteo Lodi, Andisheh Khedri +5
Algorithmic cooling can be used to find correlated states of many-body quantum systems. It is based on quantum circuits that perform nonunitary operations, whose implementation can…