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Future Directions: Quantum Computing to Accelerate Safety & Efficiency of Autonomous Driving
Jeewika Ranaweera (Principal Hardware Engineer, Oracle)
Location: Room 207
Date: Thursday, August 29
Time: 8:00am - 8:55am
Track: Drive - Security & Safety, Drive - Autonomous & ADAS
Format: Technical Session
Vault Recording: TBD
Self-driving vehicles are expected to improve road safety by analyzing the data gathered from onboard sensors and making life or death decisions behind the wheel in a split-second. These decisions are made by processing data from a range of information, including the data from surrounding environment, from the vehicles in the vicinity, and from the route conditions. However, due to the number of factors to be considered and the complexity of these tasks, the required computing capacity grows exponentially and takes the conventional computers to their limits.
In order to make autonomous vehicles a reality and to get the required performance boost, the industry is taking advantage of Quantum Computing (QC) where the quirky rules that govern quantum mechanics come into play. While the hardware needed to harness this is advancing rapidly, the car industry is exploring the enormous potential of QC to address the need for colossal amounts of computing power for data processing and wireless communication. In this talk, the wonderful world of “qubits” and the property of “entanglement” will be used to describe how QC improves both the safety and efficiency of autonomous driving. The numerous advantages of QC to optimize and to holistically solve the complex traffic flow and traffic congestion will be described. In addition, since the QC can break the cryptography, the security risks associated with autonomous vehicles will be addressed.