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. 2205.04490
  4. Cited By
Are Quantum Computers Practical Yet? A Case for Feature Selection in
  Recommender Systems using Tensor Networks

Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks

9 May 2022
Artyom Nikitin
Andrei Chertkov
R. Ballester-Ripoll
Ivan Oseledets
Evgeny Frolov
ArXivPDFHTML

Papers citing "Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks"

3 / 3 papers shown
Title
CRUISE on Quantum Computing for Feature Selection in Recommender Systems
CRUISE on Quantum Computing for Feature Selection in Recommender Systems
Jiayang Niu
Jie Li
Ke Deng
Yongli Ren
28
1
0
03 Jul 2024
Black-Box Approximation and Optimization with Hierarchical Tucker
  Decomposition
Black-Box Approximation and Optimization with Hierarchical Tucker Decomposition
Gleb Ryzhakov
Andrei Chertkov
Artem Basharin
Ivan Oseledets
13
0
0
05 Feb 2024
Alternating Local Enumeration (TnALE): Solving Tensor Network Structure
  Search with Fewer Evaluations
Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations
Chong Li
Junhua Zeng
Chunmei Li
C. Caiafa
Qianchuan Zhao
27
13
0
25 Apr 2023
1