Instead of using traditional bits as information-processing units, quantum computing (QC) depends on quantum bits or ‘qubits’. Designed to run on quantum computers, QC can improve processing time almost exponentially faster than the best conventional factoring algorithm. Our upcoming online Technology Discussion will reveal how this could benefit the automotive and mobility industry.
Quantum computers are the next step in enabling computational improvements that could boost capabilities across the value chain. What makes them so different is that they can deal with an incomprehensible amount of information at the same time, beating even the fastest supercomputers. Supercomputers can only deal with a computational problem one at a time, and that can still take a very long time. QC means a task that a normal supercomputer would need 10,000 years to process can be completed in just over 3 minutes!
To set the scene, concentrating on the technology itself, Olivier Hess, Quantum Computing Leader at Atos will provide a general overview of the technology involved. Can this potential be harnessed for our industry? According to McKinsey, complex problem solving that requires many qubits working together will become feasible in 2035 or later.
Achieving a sufficient level of qubit quality is the main challenge in making large scale QC possible. There are many challenges on the road to designing a truly fault-tolerant quantum computer with exact, mathematically accurate results.
Electronic design automation (EDA) are software tools for designing electronic systems such as integrated circuits (ICs) and printed circuit boards. They work together in a design flow that chip designers use to design and analyze entire semiconductor chips. Since a modern semiconductor chip can have billions of components, EDA tools are essential for their design. Chief Technologist at Ansys, Dr. Christophe Bianchi considers QC in the context of improving electronic design automation (EDA):
“While QC poses a major technological leap forward, there are similarities between quantum designs and traditional integrated circuit (IC) designs. Those similarities allow the EDA industry to build on existing knowledge and experience from IC workflows to tackle quantum processing unit design.”
Quantum Computing lead at BMW Group, Dr. Elvira Shishenina will deliver the presentation, ‘Quantum Computing in BMW Group: towards better and cheaper products with a shorter time to market’.
Questions and discussions will be moderated by FISITA VP Technical and SVP Group CTO of Forvia, Christophe Aufrère. Join us online at this 2-hour session to hear from industry experts as they make the case for quantum computing for mobility. Register for the FISITA Technology Discussion here.
Keen to learn more about innovative technology of mobility applications? Join us for the online Technology Discussion on Carbon Capture and Utilisation on 22 September. Register here.