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Separable Power of Classical and Quantum Learning Protocols Through the
  Lens of No-Free-Lunch Theorem

Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem

12 May 2024
Xinbiao Wang
Yuxuan Du
Kecheng Liu
Yong Luo
Bo Du
Dacheng Tao
ArXivPDFHTML

Papers citing "Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem"

5 / 5 papers shown
Title
Problem-Dependent Power of Quantum Neural Networks on Multi-Class
  Classification
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification
Yuxuan Du
Yibo Yang
Dacheng Tao
Min-hsiu Hsieh
38
22
0
29 Dec 2022
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
313
11,953
0
04 Mar 2022
Information-theoretic bounds on quantum advantage in machine learning
Information-theoretic bounds on quantum advantage in machine learning
Hsin-Yuan Huang
R. Kueng
J. Preskill
71
213
0
07 Jan 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
237
4,469
0
23 Jan 2020
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
195
3,529
0
20 Aug 2019
1