Advances in Quantum Learning Theory

Presentations

• k-Contextuality as a Heuristic for Memory Separations in Learning

  Oral-In-person

  March 17, 2026, 3:30 PM – March 17, 2026, 3:42 PM

  Publication: https://arxiv.org/abs/2507.11604

  Presenters

  • Mariesa Teo

    • University of Chicago

  Authors

  • Mariesa Teo

    • University of Chicago

  • Willers Yang

  • James Sud

  • Teague Tomesh

    • Infleqtion

  • Fred Chong

  • Eric Anschuetz

  View abstract →

• Unified Capacity Bound for Single-Copy Quantum State Representation

  Oral-In-person · Withdrawn

  March 17, 2026, 3:42 PM – March 17, 2026, 3:54 PM

  Presenters

  • Junpeng Hou

    • Pinterest Inc.

  Authors

  • Junpeng Hou

    • Pinterest Inc.

  • Chuanwei Zhang

    • Washington University, St. Louis

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• Classical Shadows over Symmetric Spaces

  Oral-In-person

  March 17, 2026, 3:54 PM – March 17, 2026, 4:06 PM

  Presenters

  • Rebecca Chang

    • Massachusetts Institute of Technology

  Authors

  • Rebecca Chang

    • Massachusetts Institute of Technology

  • Martin Larocca

    • Los Alamos National Laboratory (LANL)

  • Maxwell West

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• Sample Complexity for Distance Estimation between Ensembles of States

  Oral-In-person

  March 17, 2026, 4:06 PM – March 17, 2026, 4:18 PM

  Presenters

  • Jian Yao

    • University of Southern California

  Authors

  • Jian Yao

    • University of Southern California

  • Quntao Zhuang

    • University of Southern California

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• Deterministic Foundations of Artificial Intelligence: A Spectral Framework for Quantum Coherence and Alignment

  Oral-In-person

  March 17, 2026, 4:18 PM – March 17, 2026, 4:30 PM

  Presenters

  • Gary Langford

    • 3x3 Institute

  Authors

  • Gary Langford

    • 3x3 Institute

  • Joe Zott

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• Predicting Barren Plateaus and Cragged Terrains in Variational Quantum Algorithms Using Empirical Hardness Models

  Oral-In-person

  March 17, 2026, 4:30 PM – March 17, 2026, 4:42 PM

  Presenters

  • Harold Margeta-Cacace

    • Texas Tech University

  Authors

  • Harold Margeta-Cacace

    • Texas Tech University

  • Harrison Copp

  • Charlton Li

  • Amy Qiao

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• Multi-copy prediction in quantum machine learning

  Oral-In-person

  March 17, 2026, 4:42 PM – March 17, 2026, 4:54 PM

  Presenters

  • Aonan Zhang

    • University of Oxford

  Authors

  • Aonan Zhang

    • University of Oxford

  • Zeyuan Luo

  • Aleksandr Duplinskii

  • Nengkun Yu

  • Alexander Lvovsky

    • University of Oxford

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• Entanglement-Enhanced Learning

  Invited-In-person · Invited

  March 17, 2026, 4:54 PM – March 17, 2026, 5:30 PM

  Publication: [1] Chen, et al., Phys. Rev. Lett. 132, 180805 (2024).
  [2] Oh, et al., Phys. Rev. Lett. 133, 230604 (2024).
  [3] Seif, et al., arXiv:2408.03376
  [4] Liu, et al., Science 389, 1332 (2025)

  Presenters

  • Liang Jiang

    • University of Chicago

  Authors

  • Liang Jiang

    • University of Chicago

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• Concentration-Free Quantum Kernel Learning in the Rydberg Blockade

  Oral-In-person

  March 17, 2026, 5:30 PM – March 17, 2026, 5:42 PM

  Publication: arxiv:2508.10819

  Presenters

  • Martin Schnee

    • Universite de Sherbrooke

  Authors

  • Martin Schnee

    • Universite de Sherbrooke

  • Ayana Sarkar

    • Universite de Sherbrooke

  • Roya Radgohar

    • Université de Sherbrooke

  • Mojde Fadaie

    • University of Waterloo

  • Victor Drouin-Touchette

    • Université de Sherbrooke

  • Stefanos Kourtis

    • Université de Sherbrooke

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• Coherent Quantum Inference and Quantum Purity Amplification

  Oral-In-person

  March 17, 2026, 5:42 PM – March 17, 2026, 5:54 PM

  Presenters

  • Zhaoyi Li

    • MIT

  Authors

  • Zhaoyi Li

    • MIT

  • Isaac Chuang

    • Massachusetts Institute of Technology

  • Elias Theil

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• Entanglement-informed construction of variational quantum circuits

  Oral-In-person · Withdrawn

  March 17, 2026, 5:54 PM – March 17, 2026, 6:06 PM

  Publication: Quantum Sci. Technol. 10, 035032 (2025)

  Presenters

  • Benedikt Fauseweh

    • TU Dortmund University

  Authors

  • Benedikt Fauseweh

    • TU Dortmund University

  • Alina Joch

  • Goetz Uhrig

    • TU Dortmund University

  View abstract →