3 papers
quant-ph2026
Distinguishing Ordered Phases using Machine Learning and Classical Shadows
Leandro Morais, Tiago Pernambuco, Rodrigo G. Pereira +3
Classifying phase transitions is a fundamental and complex challenge in condensed matter physics. This work proposes a framework for identifying quantum phase transitions by combin…
quant-ph2025
A variational quantum algorithm for entanglement quantification
Lucas Friedrich, Marcos L. W. Basso, Alberto B. P. Junior +4
Quantum entanglement is a foundational resource in quantum information science, underpinning applications across physics. However, detecting and quantifying entanglement remains a…
quant-ph2025
Lie groups for quantum complexity and barren plateau theory
P. A. S. de Alcântara, Gabriel Audi, Leandro Morais
Advances in quantum computing over the last two decades have required sophisticated mathematical frameworks to deepen the understanding of quantum algorithms. In this review, we in…