4 papers
QuOp: A Quantum Operator Representation for Nodes
Andrew Vlasic, Salvador Aguinaga
We derive an intuitive and novel method to represent nodes in a graph with special unitary operators, or quantum operators, which does not require parameter training and is competi…
Investigate the Performance of Distribution Loading with Conditional Quantum Generative Adversarial Network Algorithm on Quantum Hardware with Error Suppression
Anh Pham, Andrew Vlasic
The study examines the efficacy of the Fire Opal error suppression and AI circuit optimization system integrated with IBM's quantum computing platform for a multi-modal distributio…
QBoost: An Iteratively Weighted Adiabatic Trained Classifier
Salvatore Certo, Andrew Vlasic, Daniel Beaulieu
A new implementation of an adiabatically-trained ensemble model is derived that shows significant improvements over classical methods. In particular, empirical results of this new…
Modeling Stochastic Anomalies in an SIS and SIRS System
Andrew Vlasic
I propose a stochastic SIS and SIRS system to include a Poisson measure term to model anomalies in the dynamics. In particular the positive integrand in the Poisson term is intende…