Important considerations for QAI Workshop 2023 speakers and attendees:
| Time (PDT) | Title | Speaker | Affiliation | In-Person / Virtual |
|---|---|---|---|---|
| 10:00 AM - 10:06 AM | Welcome to Session 1! | Prasanna Date | Oak Ridge National Laboratory, United States | In-Person |
| 10:06 AM - 10:20 AM | Generalization Equations for Quantum Machine Learning: Aleatory-Epistemic Decomposition | Nageswara S. V. Rao | Oak Ridge National Laboratory, United States | In-Person |
| 10:20 AM - 10:34 AM | Information Scrambling for Navigating the Learning Landscape of a Quantum Machine Learning Model | Sabre Kais | Purdue University, United States | In-Person |
| 10:34 AM - 10:48 AM | The Effect of Data Encoding on Quantum CNNs | Nermine Chaabani | Fraunhofer Institute for Cognitive Systems, Germany | Virtual |
| 10:48 AM - 11:02 AM | Approximate State Preparation for Efficient and Robust Quantum Machine Learning | Maxwell West | The University of Melbourne, Australia | Virtual |
| 11:02 AM - 11:16 AM | Machine Learning for Practical Quantum Error Mitigation | Haoran Liao | IBM Quantum, United States | In-Person |
| 11:16 AM - 11:30 AM | Quantum Reinforcement Learning to Solve A Stochastic Frozen Lake and the Impact of Architectural Choices | Theodora-Augustina Dragan | Fraunhofer Institute for Cognitive Systems, Germany | Virtual |
| 11:30 AM - 1:00 PM | Break | |||
| 1:00 PM - 1:06 PM | Welcome to Session 2! | Kathleen Hamilton | Oak Ridge National Laboratory, United States | In-Person |
| 1:06 PM - 1:20 PM | Training an Image Classification Algorithm on Trapped-Ion Quantum Computers | Jason Iaconis | IonQ, United States | In-Person |
| 1:20 PM - 1:34 PM | Enhancing Quantum Convolutional Neural Networks through Classical Pre-training and Adversarial Robustness Evaluation | Amena Khatun | Commonwealth Scientific and Industrial Research Organisation, Australia | Virtual |
| 1:34 PM - 1:48 PM | A Scalable Algorithm for Generative Modelling with Near-Term Photonic Quantum Processors | William R. Clements | ORCA Computing, England | In-Person |
| 1:48 PM - 2:02 PM | Fast Training of Fully-Connected Boltzmann Machines on an Adiabatic Quantum Computer | Lorenzo Rocutto | National Research Council, Italy | In-Person |
| 2:02 PM - 2:16 PM | Support Vector Machine on an Adiabatic Quantum Computer | Dong Jun Woun | University of Tennessee at Knoxville, United States | In-Person |
| 2:16 PM - 2:30 PM | Time Series Prediction using Quantum Neural Network and Deep Learning Algorithms | Vaidik Sharma | Birla Institute of Technology and Science, India | Virtual |
| 2:30 PM - 3:00 PM | Break | |||
| 3:00 PM - 3:06 PM | Welcome to Session 3! | Andrea Delgado | Oak Ridge National Laboratory, United States | In-Person |
| 3:06 PM - 3:20 PM | Classification of Gravitational Waves Using Neural Networks on Quantum Computers | Maria-Catalina Isfan | Institute of Space Science, Romania | In-Person |
| 3:20 PM - 3:34 PM | From Particles to Profits: Harnessing the Power of Quantum Computing to Perform Multidimensional Integrals in Physics and Finance | Daniel E. Molina | University of Southern California, United States | In-Person |
| 3:34 PM - 3:48 PM | Multiclass classification of medical reports with Quantum Natural Language Processing models | Eduardo A. Coello Perez | Oak Ridge National Laboratory, United States | In-Person |
| 3:48 PM - 4:02 PM | A Max K-Cut implementation for QAOA in the measurement based quantum computing formalism | Sebastiano Corli | National Research Council, Italy | In-Person |
| 4:02 PM - 4:16 PM | Investigation of QML algorithms for Surface Defect Detection | Rut Lineswala | BosonQ Psi Corporation, United States | In-Person |
| 4:16 PM - 4:30 PM | Quantum Classical Algorithm for the Study of Phase Transitions in the Hubbard Model via Dynamical Mean-Field Theory | Anshumitra Baul | Louisiana State University, United States | In-Person |