ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.07528
  4. Cited By
Provable Advantage of Parameterized Quantum Circuit in Function
  Approximation

Provable Advantage of Parameterized Quantum Circuit in Function Approximation

11 October 2023
Zhan Yu
Qiuhao Chen
Yuling Jiao
Yinan Li
Xiliang Lu
Xin Wang
Jerry Zhijian Yang
ArXivPDFHTML

Papers citing "Provable Advantage of Parameterized Quantum Circuit in Function Approximation"

4 / 4 papers shown
Title
Power and limitations of single-qubit native quantum neural networks
Power and limitations of single-qubit native quantum neural networks
Zhan Yu
Hong Yao
Mujin Li
Xin Wang
26
35
0
16 May 2022
Optimal Approximation Rate of ReLU Networks in terms of Width and Depth
Optimal Approximation Rate of ReLU Networks in terms of Width and Depth
Zuowei Shen
Haizhao Yang
Shijun Zhang
85
114
0
28 Feb 2021
On the statistical complexity of quantum circuits
On the statistical complexity of quantum circuits
Kaifeng Bu
D. E. Koh
Lu Li
Qingxian Luo
Yaobo Zhang
38
43
0
15 Jan 2021
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
58
211
0
07 Jan 2021
1