A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity

A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity

Recent advancements have highlighted the limitations of current quantum systems, particularly the restricted number of qubits available on near-term quantum devices. This constraint greatly inhibits the range of applications that can leverage quantum computers. Moreover, as the available qubits incr...

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Bibliographic Details
Main Authors: Ryan L'Abbate, Anthony D'Onofrio, Samuel Stein, Samuel Yen-Chi Chen, Ang Li, Pin-Yu Chen, Juntao Chen, Ying Mao
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Transactions on Quantum Engineering
Subjects:
Collaborative training
quantum deep learning
quantum-classical hybrid systems
Online Access:https://ieeexplore.ieee.org/document/10439653/

Internet

https://ieeexplore.ieee.org/document/10439653/

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