Quantum Generative Models

Presentations

• Predicting Properties of Quantum Systems with Conditional Generative Models

  ORAL

  March 8, 2023, 11:30 AM – March 8, 2023, 11:42 AM

  Presenters

  • Haoxiang Wang

    • University of Illinois at Urbana-Champai
    • University of Illinois at Urbana-Champaign

  Authors

  • Haoxiang Wang

    • University of Illinois at Urbana-Champai
    • University of Illinois at Urbana-Champaign

  • Maurice Weber

    • ETH Zurich

  • Josh Izzac

    • Xanadu

  • Cedric Lin

    • Amazon

  View abstract →

• Fast Quantum-Assisted Sampling as a Potential Source of Quantum Advantage at Training Generative Models with latent Variables

  ORAL

  March 8, 2023, 11:42 AM – March 8, 2023, 11:54 AM

  Presenters

  • Carla M Quispe Flores

    • Colorado School Of Mines

  Authors

  • Carla M Quispe Flores

    • Colorado School Of Mines

  View abstract →

• Qubit seriation: Undoing data shuffling using spectral ordering

  ORAL

  March 8, 2023, 11:54 AM – March 8, 2023, 12:06 PM

  Presenters

  • Atithi Acharya

    • Rutgers University, Zapata Computing
    • Rutgers University

  Authors

  • Atithi Acharya

    • Rutgers University, Zapata Computing
    • Rutgers University

  • Manuel S Rudolph

    • Zapata Computing Inc./ EPFL

  • Jing Chen

    • Zapata Computing Inc.
    • Zapata Computing Inc
    • Zapata Computing

  • Jacob E Miller

    • Zapata Computing
    • Zapata Computing Inc.

  • Alejandro Perdomo-Ortiz

    • Zapata Computing Inc
    • Zapata Computing

  View abstract →

• Towards a scalable discrete quantum generative adversarial neural network

  ORAL

  March 8, 2023, 12:06 PM – March 8, 2023, 12:18 PM

  Publication: arXiv:2209.13993

  Presenters

  • Patrick Huembeli

    • Menten AI

  Authors

  • Alexey Galda

    • Menten AI
    • Menten AI, Inc

  • Smit Chaudhary

    • TU Delft

  • Patrick Huembeli

    • Menten AI

  • Ian MacCormack

    • Menten AI

  • Jean Kossaifi

    • NVIDIA

  • Taylor Patty

    • NVIDIA

  View abstract →

• Enhancing Optimization Techniques with Quantum-Inspired Generative Models (Part 1)

  ORAL

  March 8, 2023, 12:18 PM – March 8, 2023, 12:30 PM

  Presenters

  • William P Banner

    • Massachusetts Institute of Technology MIT

  Authors

  • William P Banner

    • Massachusetts Institute of Technology MIT

  • Shima Bab Hadiashar

    • Zapata Computing Inc.

  • Grzegorz Mazur

    • Department of Computational Methods in Chemistry, Jagiellonian University
    • Zapata Computing Inc.

  • Tim Menke

    • Atlantic Quantum Corporation

  • Marcin Ziolkowski

    • BMW Group Information Technology Research Center

  • Jeffrey A Grover

    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology (MIT)
    • Massachusetts Institute of Technology

  • Jhonathan Romero

    • Zapata Computing Inc

  • William D Oliver

    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology (MIT), MIT Lincoln Laboratory
    • Massachusetts Institute of Technology (MIT)
    • Massachusetts Institute of Technology
    • Massachusetts Institute of Technology, MIT Lincoln Laboratory

  View abstract →

• Enhancing Optimization Techniques with Quantum-Inspired Generative Models (Part 2)

  ORAL

  March 8, 2023, 12:30 PM – March 8, 2023, 12:42 PM

  Presenters

  • Shima Bab Hadiashar

    • Zapata Computing Inc.

  Authors

  • Shima Bab Hadiashar

    • Zapata Computing Inc.

  • William P Banner

    • Massachusetts Institute of Technology MIT

  • Grzegorz Mazur

    • Department of Computational Methods in Chemistry, Jagiellonian University
    • Zapata Computing Inc.

  • Tim Menke

    • Atlantic Quantum Corporation

  • Marcin Ziolkowski

    • BMW Group Information Technology Research Center

  • Jeffrey A Grover

    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology (MIT)
    • Massachusetts Institute of Technology

  • Jhonathan Romero

    • Zapata Computing Inc

  • William D Oliver

    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology (MIT), MIT Lincoln Laboratory
    • Massachusetts Institute of Technology (MIT)
    • Massachusetts Institute of Technology
    • Massachusetts Institute of Technology, MIT Lincoln Laboratory

  View abstract →

• Generative Learning with Quantum Models

  ORAL · Invited

  March 8, 2023, 12:42 PM – March 8, 2023, 1:18 PM

  Publication: Gili et al. Evaluating generalization in Classical and Quantum Generative Models (2022) arXiv: 2201.08770
  Gili et al. Do Quantum Circuit Born Machines Generalize? (2022) arXiv: 2207.13645

  Presenters

  • Kaitlin M Gili

    • University of Oxford

  Authors

  • Kaitlin M Gili

    • University of Oxford

  View abstract →

• Benchmarking the Generalization of Quantum-Inspired and Classical Generative Models

  ORAL

  March 8, 2023, 1:18 PM – March 8, 2023, 1:30 PM

  Presenters

  • Brian Chen

    • University of Michigan / Zapata Computing

  Authors

  • Brian Chen

    • University of Michigan / Zapata Computing

  • Mohamed Hibat-Allah

    • University of Waterloo/Vector Institute/Zapata Computing

  • Javier Lopez-Piqueres

    • University of Massachusetts Amherst
    • University of Massachusetts Amherst/Zapata Computing Inc
    • University of Massachusetts Amherst / Zapata Computing

  • Marta Mauri

    • Zapata Computing Canada

  • Daniel Varoli

    • Zapata Computing

  • Francisco J Fernandez Alcazar

    • Zapata Computing

  • Brian Dellabetta

    • Zapata Computing

  • Alejandro Perdomo-Ortiz

    • Zapata Computing Inc
    • Zapata Computing

  View abstract →

• Symmetric Tensor Networks for Constrained Combinatorial Optimization and Generative Modeling (Part I)

  ORAL

  March 8, 2023, 1:30 PM – March 8, 2023, 1:42 PM

  Presenters

  • Javier Lopez-Piqueres

    • University of Massachusetts Amherst
    • University of Massachusetts Amherst/Zapata Computing Inc
    • University of Massachusetts Amherst / Zapata Computing

  Authors

  • Javier Lopez-Piqueres

    • University of Massachusetts Amherst
    • University of Massachusetts Amherst/Zapata Computing Inc
    • University of Massachusetts Amherst / Zapata Computing

  • Jing Chen

    • Zapata Computing Inc.
    • Zapata Computing Inc
    • Zapata Computing

  • Alejandro Perdomo-Ortiz

    • Zapata Computing Inc
    • Zapata Computing

  View abstract →

• Symmetric Tensor Networks for Constrained Combinatorial Optimization and Generative Modeling (Part II)

  ORAL

  March 8, 2023, 1:42 PM – March 8, 2023, 1:54 PM

  Presenters

  • Jing Chen

    • Zapata Computing Inc.
    • Zapata Computing Inc
    • Zapata Computing

  Authors

  • Jing Chen

    • Zapata Computing Inc.
    • Zapata Computing Inc
    • Zapata Computing

  • Javier Lopez-Piqueres

    • University of Massachusetts Amherst
    • University of Massachusetts Amherst/Zapata Computing Inc
    • University of Massachusetts Amherst / Zapata Computing

  • Alejandro Perdomo-Ortiz

    • Zapata Computing Inc
    • Zapata Computing

  View abstract →

• Hamiltonian Quantum Generative Adversarial Networks

  ORAL

  March 8, 2023, 1:54 PM – March 8, 2023, 2:06 PM

  Presenters

  • Leeseok Kim

    • University of New Mexico

  Authors

  • Leeseok Kim

    • University of New Mexico

  • Seth Lloyd

    • Massachusetts Institute of Technology

  • Milad Marvian

    • University of New Mexico

  View abstract →

• Comparing Generalization Performances of Quantum and Classical Generative Models

  ORAL

  March 8, 2023, 2:06 PM – March 8, 2023, 2:18 PM

  Presenters

  • Marta Mauri

    • Zapata Computing Canada

  Authors

  • Mohamed Hibat-Allah

    • University of Waterloo/Vector Institute/Zapata Computing

  • Marta Mauri

    • Zapata Computing Canada

  • Manuel S Rudolph

    • Zapata Computing Inc./ EPFL

  • Alejandro Perdomo-Ortiz

    • Zapata Computing Inc
    • Zapata Computing

  View abstract →

• Generative Learning of Continuous Data by Tensor Networks

  ORAL

  March 8, 2023, 2:18 PM – March 8, 2023, 2:30 PM

  Presenters

  • Alexander H Meiburg

    • University of California, Santa Barbara

  Authors

  • Alexander H Meiburg

    • University of California, Santa Barbara

  • Jacob E Miller

    • Zapata Computing
    • Zapata Computing Inc.

  • Jing Chen

    • Simons Foundation

  • Alejandro Perdomo-Ortiz

    • Zapata Computing Inc
    • Zapata Computing

  View abstract →