with Prof David Reilly, David Reilly (Director Microsoft's Station Q and The University of Sydney)
Registration End Date: Thu, 14 Sep, 11:00 AM
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It is now well-established that for certain kinds of problems, the computational resources needed by a quantum machine scale more efficiently than the classical, digital computers we use today. <br><br>Constructing a quantum machine, however, represents a daunting technological challenge akin to the space race. Meeting this challenge will require a new breed of mathematician, scientist, engineer, and programmer that can cross disciplinary boundaries and bind together knowledge from traditionally separate fields. <br><br>This seminar will describe some of the challenges for advancing the field of quantum technology today and outline the skills needed to start the quantum economy of tomorrow.<br><br>Take homes:<br><br>1. Quantum machines are too complex to control with humans. Machine learning will be an essential approach to tackling the complexity.<br><br>2. The usual engineering methodologies of abstraction -regarding a sub-system as a black box- are vastly different for quantum technology. <br><br>3. Despite early efforts, quantum software is very much in its infancy. Opportunities exist to get in at the ground floor and be part of the quantum revolution.
Registrations are open until 11am of the webinar date
Full attendance in the webinar is required to receive full CPD point allocation.
