Grant: Alliance Grants
Toronto Metropolitan University
$25,000.00
Towards implementing quantum computers for city-scale CFD simulations (application for drone safety and emission reduction)
FY 2024-25
Summary
Quantum computing has transformed the landscape of science and engineering by offering capabilities that surpass those of classical computers. Unlike classical computers, quantum computers utilize qubits, allowing for simultaneous task execution and operating on logarithmic time scales. Leading companies such as IBM, Google, and Microsoft have made quantum computers more accessible. In recent times, quantum computers have been increasingly applied across various industries, including cybersecurity, pharmaceuticals, and finance. Nevertheless, obstacles remain in fully harnessing the power of quantum computing for city-scale Computational Fluid Dynamics (CFD) simulations. The city-scale CFD has wide applications, such as preventing Unmanned Aerial Vehicles (UAV) from encountering high-speed wind zones in urban areas, determining strategies for dissolving the pollution caused by road traffic (e.g., around hospitals and long-term care facilities) and many others.
In collaboration with Junia HEI-Lille in France, this proposal details a collaborative effort between Canadian and French researchers to utilize quantum computing to enhance city-scale CFD simulations. The primary goal is to address the time constraints associated with traditional computing methods (classical computers), particularly for large-scale simulations such as city-wide wind aerodynamics and pollution control strategies.
The anticipated outcomes include advancements in climate change control systems, more precise weather forecasting, enhanced safety measures for UAVs in urban environments, and reduced emissions from road traffic. By harnessing the computational power of quantum computers, this project aims to develop faster and more accurate city-scale CFD simulations, ultimately positioning Canada as a leader in quantum software development in alignment with Canada's National Quantum Strategy.
Program
Alliance Grants
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
592362-2023
Name nom
Aboshosha, Haitham H
Department département
Civil Engineering
Organization id
43
Institution établissement
Toronto Metropolitan University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
25000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1206
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Engineering
Area of application fr
Génie
Research subject code
2203
Research subject group en
Fluid mechanics
Research subject group fr
Mécanique des fluides
Research subject en
Modelling, simulation
Research subject fr
Modélisation et simulation
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Towards implementing quantum computers for city-scale CFD simulations (application for drone safety and emission reduction)
Keywords
city-scale cfd; computational fluid dynamics (cfd); emission reduction; quantum algorithm; quantum computation; renewable energy
Application summary
Quantum computing has transformed the landscape of science and engineering by offering capabilities that surpass those of classical computers. Unlike classical computers, quantum computers utilize qubits, allowing for simultaneous task execution and operating on logarithmic time scales. Leading companies such as IBM, Google, and Microsoft have made quantum computers more accessible. In recent times, quantum computers have been increasingly applied across various industries, including cybersecurity, pharmaceuticals, and finance. Nevertheless, obstacles remain in fully harnessing the power of quantum computing for city-scale Computational Fluid Dynamics (CFD) simulations. The city-scale CFD has wide applications, such as preventing Unmanned Aerial Vehicles (UAV) from encountering high-speed wind zones in urban areas, determining strategies for dissolving the pollution caused by road traffic (e.g., around hospitals and long-term care facilities) and many others.
In collaboration with Junia HEI-Lille in France, this proposal details a collaborative effort between Canadian and French researchers to utilize quantum computing to enhance city-scale CFD simulations. The primary goal is to address the time constraints associated with traditional computing methods (classical computers), particularly for large-scale simulations such as city-wide wind aerodynamics and pollution control strategies.
The anticipated outcomes include advancements in climate change control systems, more precise weather forecasting, enhanced safety measures for UAVs in urban environments, and reduced emissions from road traffic. By harnessing the computational power of quantum computers, this project aims to develop faster and more accurate city-scale CFD simulations, ultimately positioning Canada as a leader in quantum software development in alignment with Canada's National Quantum Strategy.