Cutting-Edge Trajectory Optimization through Quantum Annealing

Cutting-Edge Trajectory Optimization through Quantum Annealing

This paper introduces an innovative approach to explore the capabilities of Quantum Annealing (QA) for trajectory optimization in dynamic systems. The proposed method involves transforming trajectory optimization problems into equivalent binary optimization problems using Quadratic Unconstrained Bin...

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Bibliographic Details
Main Authors: Andrea Carbone, Federico De Grossi, Dario Spiller
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Applied Sciences
Subjects:
trajectory optimization
polynomial approximation
inverse dynamics
QUBO formulation
quantum annealing
Online Access:https://www.mdpi.com/2076-3417/13/23/12853

Internet

https://www.mdpi.com/2076-3417/13/23/12853

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