CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12911 > Article
Presentation + Paper
13 March 2024 The Gell-Mann feature map of qutrits and its applications in classification tasks
Themistoklis Valtinos, Aikaterini Mandilara, Dimitris Syvridis
Author Affiliations +
Proceedings Volume 12911, Quantum Computing, Communication, and Simulation IV; 129110O (2024) https://doi.org/10.1117/12.3001127
Event: SPIE Quantum West, 2024, San Francisco, California, United States
Abstract
Recent advancements in quantum hardware have enabled the realization of high-dimensional quantum states. This work investigates the potential of qutrits in quantum machine learning, leveraging their larger state space for enhanced supervised learning tasks. To that end, the Gell-Mann feature map is introduced which encodes information within an 8-dimensional Hilbert space. The study focuses on classification problems, comparing Gell-Mann feature map with maps generated by established qubit and classical models. We test different circuit architectures and explore possibilities in optimization techniques. By shedding light on the capabilities and limitations of qutrit-based systems, this research aims to advance applications of low-depth quantum circuits.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Themistoklis Valtinos, Aikaterini Mandilara, and Dimitris Syvridis "The Gell-Mann feature map of qutrits and its applications in classification tasks", Proc. SPIE 12911, Quantum Computing, Communication, and Simulation IV, 129110O (13 March 2024); https://doi.org/10.1117/12.3001127
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 19 PAGES + PRESENTATION
DOWNLOAD PAPER SAVE TO MY LIBRARY
WATCH
PRESENTATION
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Quantum features
Quantum machine learning
Quantum encoding
Quantum information
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top