Work

Quantum Algorithms for Tensor-SVD

Year: 2024

Type: conference-paper

Abstract: A promising area of applications for quantum computing is in linear algebra problems. In this work, we introduce two new quantum t-SVD (tensor-SVD) algorithms. The first algorithm is largely based on previous work that proposed a quantum t-SVD algorithm for context-aware recommendation systems. The new algorithm however seeks to address and fix certain drawbacks in the original, and is fundamentally different in its approach compared to the existing work. The second algorithm proposed uses a hybrid variational approach largely based on a known variational quantum SVD algorithm.

Source: IEEE International Conference on Quantum Computing and Engineering (QCE)

DOI: 10.1109/qce60285.2024.00018

Authors: Jezer Jojo, Ankit Khandelwal, M Girish Chandra

Institutions: Indian Institute of Science Education and Research Pune, Tata Consultancy Services (India)

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4406261784

FWCI: 0.587

Cites: 15

Cited by: 2

Related to: 10