Agenda

Agenda

Important considerations for QAI Workshop 2024 speakers and attendees:

  • All presentations will be for either 25 or 15 minutes: 22 or 12 minutes for the talk and 2 minutes for questions
  • All presentations will be recorded
  • All times are in Eastern Daylight Time (EDT)

Day

TimePaper TitleAuthorAffiliation
10:00 - 10:25amEntangled Meanings: Classification and Ambiguity Resolution in QNLPChi ZhangIndiana University
10:25 - 10:50amQRNG-DDPM: Enhancing Diffusion Models through Fitting Mixture Noise with Quantum Random NumberYifeng PengStevens Institute of Technology
10:50 - 11:15amEvaluating the Performance of a D-Wave Quantum Annealing System for Feature Subset Selection in Software Defect PredictionMd NadimSoftware Research Lab (SRLab), Department of Computer Science, University of Saskatchewan, Canada
11:15 - 11:30amEnforcing fading memory of noisy quantum echo state networksFrancesco MonzaniUniversità degli Studi di Milano
13:00 - 13:25 pmCalo4pQVAE: Quantum-Assisted 4-partite VAE surrogate for high energy particle-calorimeter interactionsJavier Toledo-MarinTRIUMF
13:25 - 13:50pmIdeal Parametrisation Estimation for Variational Quantum Circuit Classifiers Using Machine LearningAhmed El-MahdySchool of Information Technology and Computer Science (ITCS) NU, Egyp
13:50 – 14:15pmQAdaPrune: Adaptive Parameter Pruning For Training Variational Quantum CircuitsAnnkit KulshresthaUniversity of Delaware
14:15 - 14:30pmEmulating QAOA via Graph Neural Networks

Paolo Zentilini

Università degli Studi di Milano
15:00 – 15:25pmA Hybrid Quantum-classical Fusion Neural Network to Improve Protein-ligand Binding Affinity Predictions for Drug DiscoveryLaia DomingoIngenii
15:25 – 15:50pmTrain-and-Scaling the Quantum Alternating Operator Ansatz to Solve Portfolio DiversificationHannes LeipoldFujitsu Research of America
15:50 - 16:15pmQuantum fidelity based Fuzzy C-Means clustering algorithmOumayma ouedrhiriUniversités du Québec à Trois-Rivières
16:15 - 16:30pmNeural Quantum Annealing for real-world Quadratic Unconstrained Binary OptimizationPietro TortaUniversity of Milan