Terra Quantum and Honda Research Institute Europe (HRI-EU) have collaborated to develop a quantum machine learning solution for faster routing in disaster situations. The project demonstrated the potential of hybrid quantum computing methods to improve mobility systems in challenging conditions. The answer was tested in a simulated earthquake scenario, where it successfully predicted efficient dynamic escape routes for vehicles, minimising evacuation times.
Real-Time Variables.
The quantum computing solution can account for numerous real-time variables and shows competitive efficiency results compared to traditional computing methods. It utilises quantum machine learning and requires only local information to make decisions. The solutions are obtained from quantum simulations performed on classical computing hardware but could be extended to large-scale quantum computing hardware.
Terra Quantum and Honda Research Institute Europe (HRI-EU) have collaborated to develop a quantum machine learning solution for faster routing in disaster situations. The project demonstrated the potential of hybrid quantum computing methods to improve mobility systems in challenging conditions. The solution, tested in a simulated earthquake scenario, showed promising results in predicting efficient vehicle escape routes, thereby minimising evacuation times. The quantum computing solution can account for numerous real-time variables and shows competitive efficiency results compared to traditional computing methods. Terra Quantum plans to continue developing the solution in various city landscapes.
Quantum Computing Solution for Faster Disaster Response
Terra Quantum, a quantum technology company, and Honda Research Institute Europe (HRI-EU), a research centre for intelligent systems, have collaborated to develop a new method to improve escape times in emergencies. The project utilises hybrid quantum computing methods to enhance mobility systems under challenging conditions. The collaboration has shown the potential of applying quantum technologies in the automotive and mobility sectors.
The project focused on optimising evacuation routes during emergencies using hybrid quantum technologies. A proof of concept was demonstrated through an earthquake scenario simulated on a realistic map of a small town. The solution showed promising results, predicting efficient dynamic vehicle escape routes, thereby minimising evacuation times.
The quantum computing solution developed can account for numerous real-time variables and shows competitive efficiency results compared to traditional computing methods. It uses quantum machine learning and requires only local information to make decisions, which is less than 1% of the map information. This is a crucial factor in an evolving and uncertain emergency scenario. The solutions are obtained from quantum simulations performed on classical computing hardware. This application can be extended to be executed on large-scale quantum computing hardware in the future.
The Increasing Need for Efficient Disaster Response
Over the past five decades, disaster occurrences have increased fivefold, driven by climate change and extreme weather patterns. In disaster scenarios, a timely response is vital and significantly impacts public safety. However, the dynamic and unpredictable nature of these situations poses a severe challenge for technical solutions.
The collaboration between Terra Quantum and HRI-EU evaluated the potential use of hybrid quantum technologies for optimising evacuation routes during emergencies. The quantum computing solution developed can account for numerous real-time variables, showing competitive efficiency results compared to traditional computing methods.
“We are very pleased with the results of our collaboration with HRI-EU. This is just the start, we see the huge potential in applying Quantum Technologies in the Automotive and Mobility sectors.”
Markus Pflitsch, Founder and CEO at Terra Quantum.
Future Developments and Applications
Following the success of this proof of concept, Terra Quantum plans to continue developing the solution, aiming for applicability in a broad range of scenarios in various city landscapes. This project represents a promising step in identifying realistic problems where quantum technologies may unfold their potential.
The project showcases the performance of quantum machine learning to solve highly complex problems that have a significant impact on people and the planet. The collaboration with HRI-EU has resulted in improved evacuation times and robustness in emergency situations.
Terra Quantum is a quantum technology company based in Germany and Switzerland. It provides “Quantum as a Service (QaaS)” in three core areas. The first is “Quantum Algorithms as a Service”, where customers are given access to an extensive library of algorithms, such as hybrid quantum optimisation and hybrid quantum neural networks, which can be used for solving complex logistics problems or pattern recognition. Terra Quantum also develops new quantum algorithms for its customers or adapts existing algorithms to their specific needs.
The Honda Research Institute Europe conducts research in Artificial Intelligence and Intelligent Systems. With about 55 scientists and researchers, HRI-EU provides new ideas and insights through early research projects in the areas of new mobility and computational systems.
“Identifying realistic problems where quantum technologies may unfold their potential constitutes one of the biggest challenges in the field today. This work represents a promising step in that direction and shows how to employ hybrid quantum-classical learning architectures in a real-world use-case.”
Dr. Sebastian Schmitt, Principal Scientist at HRI-EU.
“This is the first step towards showcasing the performance of quantum machine learning to solve highly complex problems that have an enormous impact on people and the planet. Very exciting to have worked with the HRI-EU team on improving evacuation times and robustness in emergencies”- Vishal Shete, MD
Quick Summary
Terra Quantum and Honda Research Institute Europe have collaborated to develop a quantum machine learning solution that optimises evacuation routes during emergencies, demonstrating promising results in simulated disaster scenarios. The quantum computing solution, which can account for numerous real-time variables, shows competitive efficiency compared to traditional computing methods and could be extended to large-scale quantum computing hardware in the future.
- Terra Quantum and Honda Research Institute Europe (HRI-EU) have collaborated to develop a quantum machine learning solution aimed at improving routing during disaster situations.
- The project demonstrated the potential of hybrid quantum computing methods to enhance mobility systems in challenging conditions.
- The technology was tested in a simulated earthquake scenario, where it successfully predicted efficient dynamic escape routes for vehicles, thereby minimising evacuation times.
- The quantum computing solution can account for numerous real-time variables and shows competitive efficiency results compared to traditional computing methods.
- The solution uses quantum machine learning and requires less than 1% of the map information to make decisions, a crucial factor in unpredictable emergency scenarios.
- The technology was developed by Markus Pflitsch, Founder and CEO at Terra Quantum, Dr. Sebastian Schmitt, Principal Scientist at HRI-EU, and Vishal Shete, MD.
- Following the success of this proof of concept, Terra Quantum plans to continue developing the solution for applicability in a broad range of scenarios and various city landscapes.
