3 citations · 6 across the 4 of their papers we have counts for
4 papers
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…
Quantum algorithms for simulating systems coupled to bosonic modes using a hybrid resonator-qubit quantum computer
Juha Leppäkangas, Pascal Stadler, Dmitry Golubev +14
Modeling composite systems of spins or electrons coupled to bosonic modes is of significant interest for many fields of applied quantum physics and chemistry. A quantum simulation…
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…
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…