Quantum phase transition locations can be inferred from VQE-optimized circuit parameters using an unsupervised attention-VAE, with a data-driven generalized order parameter.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
quant-ph 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection
Quantum phase transition locations can be inferred from VQE-optimized circuit parameters using an unsupervised attention-VAE, with a data-driven generalized order parameter.