Quantum Learning: Applications and Utility

Presentations

• Quantum Enhanced Signature Kernels for Limit Order Book mid-price predictions

  Oral-In-person

  March 16, 2026, 12:00 PM – March 16, 2026, 12:12 PM

  Presenters

  • ernesto palidda

    • Rigetti Computing

  Authors

  • ernesto palidda

    • Rigetti Computing

  • Marco Paini

    • Rigetti Computing

  View abstract →

• Quantum Atomic Optical Neural Network

  Oral-In-person

  March 16, 2026, 12:12 PM – March 16, 2026, 12:24 PM

  Presenters

  • Chuanzhou Zhu

    • University of Arizona

  Authors

  • Chuanzhou Zhu

    • University of Arizona

  • Tianyu Wang

  • Peter McMahon

    • Stanford Univ

  • Daniel Soh

    • University of Arizona

  View abstract →

• Learning in Light: Modular and Photonic Reservoirs at Work

  Oral-In-person

  March 16, 2026, 12:24 PM – March 16, 2026, 12:36 PM

  Publication: Akitada Sakurai, Aoi Hayashi, William John Munro, and Kae Nemoto, Quantum optical reservoir computing powered by boson sampling, Optica Quantum 3(3), 238-245 (2025)

  Presenters

  • William Munro

    • Okinawa Institute of Science & Technology

  Authors

  • William Munro

    • Okinawa Institute of Science & Technology

  • Akitada Sakurai

    • Okinawa Institute of Science & Technology

  • Aoi Hayashi

  • Hon Lau

  • Kae Nemoto

    • Okinawa Institute of Science & Technology

  View abstract →

• Quantum Diffusion Models and Phase Transitions

  Oral-In-person

  March 16, 2026, 12:36 PM – March 16, 2026, 12:48 PM

  Publication: [1] F. Hu, G. Liu, Y. F. Zhang, and X. Gao, arXiv:2508.06614 [cs.LG] (2025)

  Presenters

  • Fangjun Hu

    • QuEra Computing Inc.

  Authors

  • Fangjun Hu

    • QuEra Computing Inc.

  • Milan Kornjaca

    • QuEra Computing Inc.

  • Pedro Lopes

    • QuEra Computing Inc.

  • Xun Gao

  • Stefan Ostermann

    • Harvard University

  • Shengtao Wang

    • QuEra Computing Inc.

  View abstract →

• Algorithms for molecular dynamics and geometry optimization on quantum hardware

  Oral-In-person · Withdrawn

  March 16, 2026, 12:48 PM – March 16, 2026, 1:00 PM

  Presenters

  • Norm Tubman

    • National Aeronautics and Space Administration (NASA)

  Authors

  • Norm Tubman

    • National Aeronautics and Space Administration (NASA)

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• A Reinforcement Learning Protocol for Solving the Maximum Independent Set Problem on Neutral-Atom Processors

  Oral-In-person · Withdrawn

  March 16, 2026, 1:00 PM – March 16, 2026, 1:12 PM

  Publication: A Reinforcement Learning Protocol for Solving the Maximum Independent Set Problem on Neutral-Atom Processors (forthcoming)

  Presenters

  • Alexander Jürgens

    • University of California, Los Angeles

  Authors

  • Alexander Jürgens

    • University of California, Los Angeles

  • Grecia Castelazo

    • University of California, Santa Barbara

  • Prineha Narang

    • University of California, Los Angeles

  • William Munizzi

    • UCLA

  View abstract →

• Learning Functions of Hamiltonians with Hamiltonian Fourier Features

  Oral-In-person

  March 16, 2026, 1:12 PM – March 16, 2026, 1:24 PM

  Publication: arXiv:2504.16370

  Presenters

  • Yuto Morohoshi

    • Osaka University

  Authors

  • Yuto Morohoshi

    • Osaka University

  • Akimoto Nakayama

    • Osaka University

  • Hidetaka Manabe

    • Osaka University

  • Kosuke Mitarai

    • Osaka University

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• Analytical Quantum-Inspired Kernels for Hybrid Learning in Precision Medicine

  Oral-In-person

  March 16, 2026, 1:24 PM – March 16, 2026, 1:36 PM

  Presenters

  • Hamed Javidi

    • QAILinks

  Authors

  • Hamed Javidi

    • QAILinks

  • Sahar Daraeizadeh

    • QAILinks Technologies, Corp

  • Ali Daraeizadeh

  View abstract →

• Quantum Support Vector Machines Kernel Generation with Classical Post Processing

  Oral-In-person

  March 16, 2026, 1:36 PM – March 16, 2026, 1:48 PM

  Presenters

  • Anant Agnihotri

    • Fraunhofer IAF

  Authors

  • Anant Agnihotri

    • Fraunhofer IAF

  • Michael Krebsbach

    • University of Freiburg

  • Thomas Wellens

  • Florentin Reiter

    • ETH Zurich

  View abstract →

• A Heterogeneous Low-Latency Interconnect Enabling Large-Scale Qubit Control and Real-Time AI Inference

  Oral-In-person

  March 16, 2026, 1:48 PM – March 16, 2026, 2:00 PM

  Presenters

  • Yilun Xu

    • Lawrence Berkeley National Laboratory

  Authors

  • Yilun Xu

    • Lawrence Berkeley National Laboratory

  • Gang Huang

    • Lawrence Berkeley National Laboratory

  • Neel Vora

    • Lawrence Berkeley National Laboratory

  • David Santiago

    • Lawrence Berkeley National Laboratory

  • Irfan Siddiqi

    • University of California, Berkeley

  View abstract →

• Sample-efficient randomized measurements for lattice gauge theories

  Oral-In-person

  March 16, 2026, 2:00 PM – March 16, 2026, 2:12 PM

  Publication: manuscript in preparation

  Presenters

  • Henry Froland

    • University of Washington

  Authors

  • Henry Froland

    • University of Washington

  • Jacob Bringewatt

    • University of Maryland College Park

  • Niklas Mueller

    • University of New Mexico

  • Andreas Elben

  View abstract →

• Hybrid Quantum-classical Neural Networks for Recognizing Topological Phases of Matter

  Oral-In-person

  March 16, 2026, 2:12 PM – March 16, 2026, 2:24 PM

  Presenters

  • Markus Hoffmann

    • Friedrich-Alexander University Erlangen-Nuremberg

  Authors

  • Markus Hoffmann

    • Friedrich-Alexander University Erlangen-Nuremberg

  • Leon Sander

    • FAU Erlangen-Nürnberg

  • Colin Scarato

  • Christoph Hellings

    • ETH Zurich

  • Johannes Knörzer

  • Andreas Wallraff

    • ETH Zurich

  • Michael Hartmann

    • Friedrich-Alexander University Erlangen-Nuremberg

  • Petr Zapletal

    • Friedrich-Alexander University Erlangen-Nuremberg

  View abstract →

• Quantum Reinforcement Learning for Semantic Ranking of Enzyme Functionality

  Oral-In-person

  March 16, 2026, 2:24 PM – March 16, 2026, 2:36 PM

  Publication: Isik, Murat, Mandeep Kaur Saggi, Humaira Gowher, and Sabre Kais. "Multimodal Quantum Vision Transformer for Enzyme Commission Classification from Biochemical Representations." arXiv preprint arXiv:2508.14844 (2025).
  
  Bhatia, Amandeep Singh, Mandeep Kaur Saggi, and Sabre Kais. "Quantum machine learning predicting ADME-Tox properties in drug discovery." Journal of Chemical Information and Modeling 63, no. 21 (2023): 6476-6486.

  Presenters

  • Murat Isik

    • Purdue University

  Authors

  • Murat Isik

    • Purdue University

  • Sabre Kais

    • Department of Electrical and Computer Engineering, North Carolina State University

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• MatchCake: Exploring Classically Simulable Quantum Circuits for Machine Learning

  Oral-In-person

  March 16, 2026, 2:36 PM – March 16, 2026, 2:48 PM

  Publication: - Gince, J., Pagé, J.M., Armenta, M., Sarkar, A. and Kourtis, S., 2024, September. Fermionic Machine Learning. In 2024 IEEE International Conference on Quantum Computing and Engineering (QCE) (Vol. 1, pp. 1672-1678). IEEE.
  
  - A paper for this specific work is under preparation.

  Presenters

  • Jérémie Gince

    • Université de Sherbrooke

  Authors

  • Jérémie Gince

    • Université de Sherbrooke

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• AI for Quantum Control and Measurement: In-Situ Learning and Adaptive Optimization in QubiCML

  Oral-In-person

  March 16, 2026, 2:48 PM – March 16, 2026, 3:00 PM

  Presenters

  • Neel Vora

    • Lawrence Berkeley National Laboratory

  Authors

  • Neel Vora

    • Lawrence Berkeley National Laboratory

  • Yilun Xu

    • Lawrence Berkeley National Laboratory

  • Samuel Jung

  • Akel Hashim

    • University of California, Berkeley

  • Gang Huang

    • Lawrence Berkeley National Laboratory

  • David Santiago

    • Lawrence Berkeley National Laboratory

  • Irfan Siddiqi

    • University of California, Berkeley

  View abstract →