Efficient Pause Location Prediction Using Quantum Annealing Simulations and Machine Learning

Efficient Pause Location Prediction Using Quantum Annealing Simulations and Machine Learning

Despite increases in qubit count and connectivity in quantum annealers, a quantum speedup has yet to be observed for problems of practical significance. In order to further improve annealer performance, some researchers focus on tuning annealer parameters, such as the annealing schedule. In this wor...

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Bibliographic Details
Main Authors: Michael Zielewski, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Annealing schedule
convolutional neural network
machine learning
Monte Carlo simulation
pausing
quantum annealing
Online Access:https://ieeexplore.ieee.org/document/10256211/

Internet

https://ieeexplore.ieee.org/document/10256211/

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