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Generation of High-Resolution Handwritten Digits with an Ion-Trap Quantum Computer

  • Manuel S. Rudolph
  • Ntwali Bashige Toussaint
  • Amara Katabarwa
  • Borja Peropadre
  • Alejandro Perdomo-Ortiz
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Chemistry Materials Biopharma Pharma Algorithms Machine Learning Annealing Variational Quantum Factoring
Enhancing Combinatorial Optimization with Quantum Generative Models
Francisco Javier F. Alcazar and Alejandro Perdomo-Ortiz
01/18/21
Analyzing the Performance of Variational Quantum Factoring on a Superconducting Quantum Processor
William Simon, Amara Katabarwa, Borja Peropadre, and Yudong Cao,
12/15/20
Identifying challenges towards practical quantum advantage through resource estimation: the measurement roadblock in the variational quantum eigensolver
Jérôme F. Gonthier, Jhonathan Romero Fontalvo, and Max Radin,
12/08/20
Generation of High-Resolution Handwritten Digits with an Ion-Trap Quantum Computer
Manuel S. Rudolph, Ntwali Bashige Toussaint, Amara Katabarwa, Borja Peropadre, and Alejandro Perdomo-Ortiz,
12/07/20
Bayesian Inference with Engineered Likelihood Functions for Robust Amplitude Estimation
Guoming Wang, Peter Johnson, and Yudong Cao,
06/16/20
A framework for engineering quantum likelihood functions for expectation estimation
Guoming Wang, Peter Johnson, and Yudong Cao,
06/16/20
An application benchmark for fermionic quantum simulations
Pierre-Luc Dallaire-Demers, Michał Stęchły, Jérôme F. Gonthier, Yudong Cao, Jhonathan Romero Fontalvo, and Ntwali Bashige Toussaint,
03/04/20
Readiness of Quantum Optimization Machines for Industrial Applications
Alejandro Perdomo-Ortiz
07/02/19
Realizing Quantum Boltzmann Machines Through Eigenstate Thermalization
Yudong Cao
03/04/19
Quantum Chemistry in the Age of Quantum Computing
Yudong Cao, Jonathan P Olson (Jonny), Jhonathan Romero Fontalvo, Peter Johnson, Sukin Sim (Hannah), and Borja Peropadre,
12/28/18
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