9 citations · 14 across the 4 of their papers we have counts for
5 papers
Simulation-Based Quantum System Inference with Neural Posterior Estimation
Hang Zou, Anton Frisk Kockum, Martin Rahm +1
Models of quantum systems faithfully map system parameters to observations, but the inverse problem of parameter inference from measurement data presents a fundamental challenge: c…
QT-Net: Rethinking Evaluation of AI Models in Atomic Chemical Space
Pablo Martínez Crespo, Stefano Ribes, Martin Rahm +6
Atomic properties such as partial charges or multipoles encode chemically meaningful information that can inform downstream molecular property prediction, but their evaluation as m…
Generative flow-based warm start of the variational quantum eigensolver
Hang Zou, Martin Rahm, Anton Frisk Kockum +1
Hybrid quantum-classical algorithms like the variational quantum eigensolver (VQE) show promise for quantum simulations on near-term quantum devices, but are often limited by compl…
Multireference error mitigation for quantum computation of chemistry
Hang Zou, Erika Magnusson, Hampus Brunander +2
Quantum error mitigation (QEM) strategies are essential for improving the precision and reliability of quantum chemistry algorithms on noisy intermediate-scale quantum devices. Ref…
Towards Efficient Quantum Computing for Quantum Chemistry: Reducing Circuit Complexity with Transcorrelated and Adaptive Ansatz Techniques
Erika Magnusson, Aaron Fitzpatrick, Stefan Knecht +2
The near-term utility of quantum computers is hindered by hardware constraints in the form of noise. One path to achieving noise resilience in hybrid quantum algorithms is to decre…