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Applied Quantum Computing, Artificial Intelligence, and Machine Learning

FOCUS · MAR-J20 · ID: 3103354







Presentations

  • Application of Quantum-Assisted PINN for Predicting Ice Accretion and Phase Change

    ORAL

    Presenters

    • Abhishek Chopra

      BosonQ Psi

    Authors

    • Luis H Hatashita

      Georgia Institute of Technology, Flow Physics and Computational Sciences Lab

    • Jay Shah

      BosonQ Psi

    • Ramesh Kolluru

      BosonQ Psi

    • Anirban Bhattacharjee

      Georgia Institute of Technology, Flow Physics and Computational Sciences Lab

    • Rut Lineswala

      BosonQ Psi

    • Ferdin Bosco

      BosonQ Psi

    • Suhas Jain

      Georgia Institute of Technology, Flow Physics and Computational Sciences Lab

    • Abhishek Chopra

      BosonQ Psi

    View abstract →

  • Nanophotonics-assisted computer vision

    ORAL

    Publication: 1. Compressed meta-optical encoder for image classification, Advanced Photonics (under review)<br>2. Nonlocal, flatband meta-optics for monolithic, high efficiency, compact photodetectors, Nano Letters (2024)<br>3. Observation of photonic chiral flatbands, Physical Review Letters (submitted)<br>4. Transferable polychromatic optical encoder for neural networks (submitted)

    Presenters

    • Minho Choi

      University of Washington

    Authors

    • Minho Choi

      University of Washington

    • Arka Majumdar

      University of Washington

    View abstract →

  • Cryogenic performance of field-effect transistors and amplifiers based on selective area grown InAs nanowires

    ORAL

    Publication: Olšteins, D. et al. Cryogenic multiplexing using selective area grown nanowires. Nat Commun 14, 7738 (2023). https://doi.org/10.1038/s41467-023-43551-1<br><br>Planned paper: Meucci G. et al. Cryogenic performance of field-effect transistors and amplifiers based on selective area grown InAs nanowires

    Presenters

    • Giulia Meucci

      Technical University of Denmark

    Authors

    • Giulia Meucci

      Technical University of Denmark

    • Dags Olsteins

      Technical University of Denmark

    • Damon J Carrad

      Technical University of Denmark, Department of Energy Conversion and Storage, Danish Technical University

    • Gunjan Nagda

      Department of Energy Conversion and Storage, Danish Technical University, Technical University of Denmark

    • Daria V Beznasyuk

      Technical University of Denmark

    • Christian N Petersen

      Technical University of Denmark

    • Sara Martí-Sánchez

      Catalan Institute of Nanoscience and Nanotechnology, Catalan Institute of Nanoscience and Nanotechnology (ICN2)

    • Jordi Arbiol

      Catalan Institute of Nanoscience and Nanotechnology AND ICREA, Catalan Institute of Nanoscience and Nanotechnology (ICN2), ICREA

    • Thomas S Jespersen

      Denmarks Technical University, Technical University of Denmark, Department of Energy Conversion and Storage, Danish Technical University, Technical University of Denmark AND Niels Bohr Insitute

    View abstract →

  • Efficient Posterior Estimation for Perturbative Non-Gaussian Distributions Using Feynman Diagrams

    ORAL

    Publication: Efficient Posterior Estimation for Perturbative Non-Gaussian Distributions Using Diagrammatic Perturbation Technique, Raudales, U., Gillett, J, Singh, A., Pandey, A., in preparation

    Presenters

    • Frany U Raudales

      Whitman College

    Authors

    • Frany U Raudales

      Whitman College

    • Ashmeet Singh

      Whitman College

    • Aditya Pandey

      University of Illinois at Urbana-Champaign

    • Joseph Gillett

      Washington State University at St. Louis & Whitman College

    View abstract →

  • Trustworthy Machine Learning and Artificial Intelligence Frameworks for Scientists

    ORAL · Invited

    Publication: Evaluating the Limits of the Physics Learned by a Machine Learning Model by Dale, Li, DeCost, Hattrick-Simpers<br>Loss Landscape Analysis of Model Accuracy by Dale, Li, DeCost, Hattrick-Simpers<br>Trusted AI Toolkit for Scientists (TRAITS) by Dale, Yao, Hattrick-Simpers

    Presenters

    • Ashley Dale

      University of Toronto

    Authors

    • Ashley Dale

      University of Toronto

    • Yao Fehlis

      Artificial, Inc.

    • Jason Hattrick-Simpers

      University of Toronto

    View abstract →