1 citations · 3 across the 4 of their papers we have counts for
5 papers
Quantum Optimization Algorithms for Strongly Correlated Many-Body Systems
G. E. L. Pexe, L. A. M. Rattighieri, P. M. Prado +2
This perspective article analyzes the potential and critical challenges of employing quantum optimization algorithms to investigate phase transitions in quantum many-body systems d…
Quantum feedback algorithms for DNA assembly using FALQON variants
Pedro M. Prado, Lucas A. M. Rattighieri, Rafael Simões do Carmo +6
Reconstructing DNA sequences without a reference, known as de novo assembly, is a complex computational task involving the alignment of overlapping fragments. To address this probl…
Measurement-Guided State Refinement for Shallow Feedback-Based Quantum Optimization Algorithm
Lucas A. M. Rattighieri, Pedro M. Prado, Marcos C. de Oliveira +1
Limited circuit depth remains a central constraint for quantum optimization in the noisy intermediate-scale quantum (NISQ) regime, where shallow unitary dynamics may fail to suffic…
Learning spectral density functions in open quantum systems
Felipe Peleteiro, João Victor Shiguetsugo Kawanami Lima, Pedro Marcelo Prado +2
Spectral density functions quantify how environmental modes couple to quantum systems and govern their open dynamics. Inferring such frequency-dependent functions from time-domain…
Quantum Phases Classification Using Quantum Machine Learning with SHAP-Driven Feature Selection
Giovanni S. Franco, Felipe Mahlow, Pedro M. Prado +3
In this study, we present an innovative methodology to classify quantum phases within the ANNNI (Axial Next-Nearest Neighbor Ising) model by combining Quantum Machine Learning (QML…