This article presents a quantum annealing approach to solve the vehicle routing problem, which aims to minimize traffic congestion by optimizing routes.
Researchers at MIT explore the application of quantum computing, including quantum annealing, to minimize traffic congestion in urban areas.
D-Wave Systems, a leading quantum computing company, discusses the potential of quantum annealing in solving complex logistics and transportation problems, including traffic congestion.
This pre-print paper proposes a quantum annealing algorithm for solving the vehicle routing problem, which can help reduce traffic congestion by finding the most efficient routes.
This video lecture by a transportation expert explores the potential of quantum computing, including quantum annealing, in minimizing traffic congestion and optimizing traffic flow.
The US Department of Transportation discusses the potential applications of quantum annealing in transportation, including minimizing traffic congestion and optimizing logistics.
This article in Nature discusses the potential of quantum computing, including quantum annealing, in mitigating traffic congestion and improving urban mobility.
This open-source project on GitHub provides a quantum annealing-based solution for optimizing vehicle routing, which can help minimize traffic congestion and reduce fuel consumption.