Quantum Testing of Recommender Algorithms on GPU-Based Quantum Simulators

Quantum Testing of Recommender Algorithms on GPU-Based Quantum Simulators

This study explores the application of quantum computing in asset management, focusing on the use of the Quantum Approximate Optimization Algorithm (QAOA) to solve specific classes of financial asset recommendation problems. While quantum computing holds promise for combinatorial optimization tasks,...

Full description

Saved in:
Bibliographic Details
Main Authors: Chenxi Liu, W. Bernard Lee, Anthony G. Constantinides
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Computers
Subjects:
quantum computing
quantum approximate optimization algorithm
max-cut problem
financial asset recommendation
IonQ
graph neural networks
Online Access:https://www.mdpi.com/2073-431X/14/4/137
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2073-431X/14/4/137

Similar Items