3 papers
quant-ph2025
Learning Minimal Representations of Fermionic Ground States
Felix Frohnert, Emiel Koridon, Stefano Polla
We introduce an unsupervised machine-learning framework that discovers optimally compressed representations of quantum many-body ground states. Using an autoencoder neural network…
quant-ph2025
Error mitigation and circuit division for early fault-tolerant quantum phase estimation
Alicja Dutkiewicz, Stefano Polla, Maximilian Scheurer +3
As fully fault-tolerant quantum computers capable of solving useful problems remain a distant goal, we anticipate an era of "early fault tolerance" where limited error correction i…
physics.chem-ph2025
FragPT2: Multi-Fragment Wavefunction Embedding with Perturbative Interactions
Emiel Koridon, Souloke Sen, Lucas Visscher +1
Embedding techniques allow the efficient description of correlations within localized fragments of large molecular systems, while accounting for their environment at a lower level…