Quantum Machine Learning for Applications

Presentations

• Learning Solution Curves in Feedback-Based Quantum Algorithms

  ORAL

  March 17, 2025, 11:30 AM – March 17, 2025, 11:42 AM

  Presenters

  • VICENTE PENA PEREZ

    • Arizona State University

  Authors

  • VICENTE PENA PEREZ

    • Arizona State University

  • Matthew D Grace

    • Sandia National Laboratories

  • Alicia B Magann

    • Sandia National Laboratories

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• Uncovering Quantum Many-body Scars with Quantum Machine Learning

  ORAL

  March 17, 2025, 11:42 AM – March 17, 2025, 11:54 AM

  Publication: arXiv:2409.07405

  Presenters

  • Jiajin Feng

    • University of Southern California

  Authors

  • Jiajin Feng

    • University of Southern California

  • Bingzhi Zhang

    • University of Southern California

  • Quntao Zhuang

    • University of Southern California

  • Zhicheng Yang

    • Peking University

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• Quantum Machine Learning for Multi-Asset Price Prediction

  ORAL

  March 17, 2025, 11:54 AM – March 17, 2025, 12:06 PM

  Presenters

  • Hannes Leipold

    • Fujitsu Research of America

  Authors

  • Sharan Mourya Bathala

    • University of Illinois Urbana Champaign

  • Hannes Leipold

    • Fujitsu Research of America

  • Bibhas Adhikari

    • Fujitsu Research of America, Inc
    • Fujitsu Research of America

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• Exploring Synthesis–Structure Relationships in Epitaxially–Grown Semiconductors with Quantum and Classical Learning Algorithms

  ORAL

  March 17, 2025, 12:06 PM – March 17, 2025, 12:18 PM

  Publication: Messecar, A. S., Durbin, S. M., & Makin, R. A. (under review). Machine Learning Based Investigation of Optimal Synthesis Parameters for Epitaxially Grown III–Nitride Semiconductors. Materials Science in Semiconductor Processing.
  
  Messecar, Andrew S.; Durbin, Steven M.; and Makin, Robert A., "Quantum & Classical Machine Learning Studies of Semiconductor Crystal Epitaxy" (2024). Waldo Library Student Exhibits. 13. https://scholarworks.wmich.edu/student_exhibits/13
  
  Messecar, A.S., Durbin, S.M. & Makin, R.A. Quantum and classical machine learning investigation of synthesis–structure relationships in epitaxially grown wide band gap semiconductors. MRS Communications 14, 660–666 (2024). https://doi.org/10.1557/s43579-024-00590-z
  
  Messecar, A. S., Durbin, S. M., & Makin, R. A. (2024, March 22), Quantum and Classical Supervised Learning Study of Epitaxially–Grown ZnO Surface Morphology. Paper presented at 2024 ASEE North Central Section Conference, Kalamazoo, Michigan. https://peer.asee.org/45633

  Presenters

  • Andrew S Messecar

    • College of Engineering and Applied Sciences, Western Michigan University, Kalamazoo, MI 49008 USA

  Authors

  • Andrew S Messecar

    • College of Engineering and Applied Sciences, Western Michigan University, Kalamazoo, MI 49008 USA

  • Steven M Durbin

    • College of Engineering, University of Hawaiʻi at Mānoa, Honolulu, HI 96822, USA

  • Robert A Makin

    • College of Engineering and Applied Sciences, Western Michigan University, Kalamazoo, MI 49008, USA

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• Evaluation and optimization of neurological data sets in quantum feature maps and comparison with conventional classical methods

  ORAL

  March 17, 2025, 12:18 PM – March 17, 2025, 12:30 PM

  Presenters

  • David Castillo Salazar

    • Centro de Investigación de Ciencias Humanas y de la Educación (CICHE), Universidad Tecnológica Indoamérica, 2035 Bolívar Street, Ambato, 180103, Tungurahua

  Authors

  • Saravana Prakash Thirumuruganandham

    • SMARTCO
    • SMARTCO, Director of Software Development, Catalina Aldaz N34-131 y Portugal, Edificio La Suiza 6to Piso, Quito codigo postal-170504

  • David Castillo Salazar

    • Centro de Investigación de Ciencias Humanas y de la Educación (CICHE), Universidad Tecnológica Indoamérica, 2035 Bolívar Street, Ambato, 180103, Tungurahua

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• Scalable quantum dynamics compilation via quantum machine learning

  ORAL

  March 17, 2025, 12:30 PM – March 17, 2025, 12:42 PM

  Publication: https://arxiv.org/pdf/2409.16346

  Presenters

  • Roeland Cornelis Wiersema

    • Flatiron Institute

  Authors

  • Roeland Cornelis Wiersema

    • Flatiron Institute

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• Quantum generative machine learning for quantum state tomography

  ORAL

  March 17, 2025, 12:42 PM – March 17, 2025, 12:54 PM

  Presenters

  • Jinghong Yang

    • University of Maryland, College Park

  Authors

  • Jinghong Yang

    • University of Maryland, College Park

  • shabnam jabeen

    • University of Maryland, College Park

  • Dmytro Kurdydyk

    • Davidson college

  • Aadi Palnitkar

    • University of Maryland, College Park

  • Mihir Talati

    • University of Maryland, College Park

  • Sriman Selvakumaran

    • University of Maryland, College Park

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• Structured Models for Quantum Generative Learning

  ORAL

  March 17, 2025, 12:54 PM – March 17, 2025, 1:06 PM

  Presenters

  • Bence Bakó

    • HUN-REN Wigner Research Centre for Physics

  Authors

  • Bence Bakó

    • HUN-REN Wigner Research Centre for Physics

  • Zoltán Kolarovszki

    • Wigner Research Centre for Physics

  • Zoltan Zimboras

    • Wigner Research Center for Physics
    • Algorithmiq

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