Quantum Generative Models

Presentations

• Predicting Properties of Quantum Systems with Conditional Generative Models

  ORAL

  March 8, 2023, 2:30 PM – March 8, 2023, 2:42 PM

  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, 2:42 PM – March 8, 2023, 2:54 PM

  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, 2:54 PM – March 8, 2023, 3:06 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, 3:06 PM – March 8, 2023, 3:18 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, 3:18 PM – March 8, 2023, 3:30 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, 3:30 PM – March 8, 2023, 3:42 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, 3:42 PM – March 8, 2023, 4:18 PM

  Publication: Gili et al. Evaluating generalization in Classical and Quantum Generative Models (2022) arXiv: 2201.08770<br>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, 4:18 PM – March 8, 2023, 4:30 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, 4:30 PM – March 8, 2023, 4:42 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, 4:42 PM – March 8, 2023, 4:54 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, 4:54 PM – March 8, 2023, 5:06 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, 5:06 PM – March 8, 2023, 5:18 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, 5:18 PM – March 8, 2023, 5:30 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 →