ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2302.02980
  4. Cited By
Hybrid Genetic Optimisation for Quantum Feature Map Design

Hybrid Genetic Optimisation for Quantum Feature Map Design

Quantum Machine Intelligence (QMI), 2023
6 February 2023
Rowan Pellow-Jarman
A. Pillay
I. Sinayskiy
Francesco Petruccione
ArXiv (abs)PDFHTML

Papers citing "Hybrid Genetic Optimisation for Quantum Feature Map Design"

3 / 3 papers shown
QuProFS: An Evolutionary Training-free Approach to Efficient Quantum Feature Map Search
QuProFS: An Evolutionary Training-free Approach to Efficient Quantum Feature Map Search
Yaswitha Gujju
Romain Harang
Chao Li
Tetsuo Shibuya
Qibin Zhao
108
2
0
09 Aug 2025
Quantum autoencoders for image classification
Quantum autoencoders for image classificationQuantum Machine Intelligence (QMI), 2025
Hinako Asaoka
Kazue Kudo
369
1
0
21 Feb 2025
Neural auto-designer for enhanced quantum kernels
Neural auto-designer for enhanced quantum kernelsInternational Conference on Learning Representations (ICLR), 2024
Cong Lei
Yuxuan Du
Peng Mi
Jun-chen Yu
Tongliang Liu
177
8
0
20 Jan 2024
1
Page 1 of 1