Airbus and BMW Group have jointly introduced “The Quantum Mobility Quest,” a global challenge aimed at harnessing the power of quantum computing to address enduring issues in the aviation and automotive sectors.
With €30,000 prizes available in five categories, and support from The Quantum Insider and AWS, this challenge seeks to inspire participants worldwide to propose innovative solutions that advance quantum applications in transportation by 2024.
This collaborative initiative between the two industry leaders represents a substantial stride toward unlocking the potential of quantum technologies to create more efficient, sustainable, and secure solutions in transportation.
Isabell Gradert, Vice President of Central Research and Technology at Airbus, noted that the present moment is ideal for highlighting quantum technology and its potential societal impact. Collaborating with BMW Group, an industry leader, allows Airbus to advance the technology, bridging the gap between scientific exploration and practical applications.
“We’re inviting top-tier students, PhDs, academics, researchers, start-ups, companies, or professionals worldwide to join our challenge and contribute to a massive paradigm shift in the way aircraft are designed and operated,”she emphasized.
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Understanding Quantum Machines
Quantum machines, specifically quantum computers, utilize principles of quantum mechanics to perform computations with quantum bits (qubits) capable of existing in multiple states simultaneously—a phenomenon known as superposition. This unique capability enables quantum computers to process information beyond the capabilities of classical computers, which use bits representing either 0 or 1.
Additionally, these machines excel in diverse tasks, including optimization, solving complex problems in resource allocation, logistics, and financial modeling. Quantum machines also contribute to simulation, emulating quantum systems, materials, and molecules for applications in chemistry, physics, and materials science.
Quantum machine learning enhances algorithms by leveraging quantum principles for more efficient data processing. In the field of cryptography, quantum machines play a crucial role in developing and decrypting codes, employing advanced quantum algorithms. They contribute to advancing artificial intelligence, refining capabilities like pattern recognition and data analysis through the unique computational power of quantum computing.
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Unleashing Quantum Power for Future Mobility Challenges
Quantum computing is poised to revolutionize computational capabilities, offering the potential to tackle tasks that strain even the most advanced conventional computers. This transformative technology holds particular promise for data-centric industries like transportation, where it could reshape industrial processes and pave the way for innovative mobility solutions.
As part of “The Quantum Mobility Quest,” participants are encouraged to address specific challenges, including optimizing aerodynamics with quantum solvers, integrating quantum machine learning into future automated mobility, implementing quantum optimization for a more sustainable supply chain, and utilizing quantum simulation for enhanced corrosion inhibition.
Entrants also have the freedom to introduce their quantum technologies, potentially unlocking unexplored applications within the transportation sector.
Challenge Structure and Evaluation
The Quantum Insider (TQI) hosts the challenge, which spans two phases. The initial four-month period involves participants developing theoretical frameworks for their chosen problem statements. The subsequent phase sees selected finalists implementing and benchmarking their solutions. Amazon Web Services (AWS) allows candidates to run their algorithms on its cloud-based quantum computing service.
A distinguished jury, comprising leading quantum experts alongside representatives from Airbus, BMW Group, and AWS, will meticulously evaluate proposals. The winning team for each of the five challenges will be awarded a €30,000 prize, culminating in the announcement of results by the conclusion of 2024.
