1 citations · 1 across the 3 of their papers we have counts for
3 papers
Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials
Gil Harari, Yoel Zimmermann, Ola Tangen Kulseng +4
Machine learning interatomic potentials (MLIPs) have become a hallmark of AI for scientific simulation. While efforts on new architectures and datasets have led to increasingly acc…
Quantum reservoir computing using the stabilizer formalism for encoding classical data
Franz G. Fuchs, Alexander J. Stasik, Stanley Miao +2
Utilizing a quantum system for reservoir computing has recently received a lot of attention. Key challenges are related to how on can optimally en- and decode classical information…
QuantumReservoirPy: A Software Package for Time Series Prediction
Stanley Miao, Ola Tangen Kulseng, Alexander Stasik +1
In recent times, quantum reservoir computing has emerged as a potential resource for time series prediction. Hence, there is a need for a flexible framework to test quantum circuit…