Seminar: When Robots Meet Qubits, 15th August, 1:00pm

When: Thursday 15th of August, 1:00pm AEST

Where: This seminar will be partially presented at the ACFR seminar area, J04 lvl 2 (Rose St Building) and partially online via Zoom. RSVP

Speaker: AProf Guodong Shi

Title: When Robots Meet Qubits

Abstract:

Quantum information processing leverages the ubiquitous quantum states in the microscopic world to represent, process, and manipulate information in the form of quantum bits (qubits). The unique properties of quantum mechanics imply a revolution in our information technologies: quantum sensors can detect physical quantities with resolution and sensitivity beyond the capabilities of classical sensors; quantum computers may solve certain search, computing, optimization, and machine learning problems faster than any classical computer; and quantum communication channels are provably secure against eavesdropping. Although there is still a long way to go before quantum technologies mature to fully realize these so-called quantum supremacies, progress is being made every day. This talk will provide an overview of quantum information processing and discuss the perspective of quantum-powered robots. 

Bio:

Guodong Shi received his Ph.D. in Systems Theory from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China, in 2010. He was a Post-Doctoral Researcher with the ACCESS Linnaeus Centre, KTH Royal Institute of Technology, Stockholm, Sweden, before he joined the Research School of Engineering, The Australian National University, as a Lecturer/Senior Lecturer, and a Future Engineering Research Leadership (FERL) Fellow in 2014. Since 2019, he has been with the Australian Center for Robotics, The University of Sydney, where he is now an Associate Professor. His research focuses on control and optimization for networked dynamical systems with applications in smart grids, robotics, quantum computing, social networks, and climate-economic systems.

Contacts

Australian Centre for Robotics
info@acfr.usyd.edu.au