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A Framework for Demonstrating Practical Quantum Advantage: Racing
  Quantum against Classical Generative Models

A Framework for Demonstrating Practical Quantum Advantage: Racing Quantum against Classical Generative Models

27 March 2023
Mohamed Hibat-Allah
M. Mauri
Juan Carrasquilla
A. Perdomo-Ortiz
ArXivPDFHTML

Papers citing "A Framework for Demonstrating Practical Quantum Advantage: Racing Quantum against Classical Generative Models"

4 / 4 papers shown
Title
Evaluating quantum generative models via imbalanced data classification
  benchmarks
Evaluating quantum generative models via imbalanced data classification benchmarks
Graham Enos
M. Reagor
Eric Hulburd
18
0
0
21 Aug 2023
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
303
11,881
0
04 Mar 2022
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,764
0
24 Feb 2021
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating
  and Auditing Generative Models
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Ahmed Alaa
B. V. Breugel
Evgeny S. Saveliev
M. Schaar
40
186
0
17 Feb 2021
1