The goal of this class is to expand attendees' understanding of quantum computing as implemented on the D-Wave System. Labs are integrated into each module, and attendees will have access to both simulators and a live system located in Canada. It is recommended that attendees have a Master’s Degree or higher in one of the following disciplines: Computer Science, Math, and Physics or equivalent, or has demonstrated experience implementing algorithms in C/C++, Matlab, Python, etc.
This lecture/lab format will provide information on the D-Wave quantum computer system. There will be two separate instructional components over a ~15 hour period, May 10th -May 12th. During class you will learn:
- about the hardware and software environments for a D-Wave quantum computer
- how to solve and think about problems on a D-Wave quantum computer
- methods of programming a D-Wave quantum computer
- to use tools and run problems on a live D-Wave quantum computing system
- to download and use our qOp tool package and discuss applications ideas.
Location
Virginia Tech Research Center @ Arlington, 900 North Glebe Rd in Arlington, VA 22203.
Class Schedule
May 10 12:00 pm - 5:00 pm
May 11 09:00 am - 5:00 pm
May 12 09:00 am - 12:00 pm
There is a $150.00 fee to attend, which will include a light breakfast available at 8:30 AM, May 11th and 12th and lunch mid-day on May 10th and 11th. The fee is payable using PayPal at the bottom of this registration site.
Attendees are asked to bring their own device (devices need to be set up prior to class to run a certified Remote Desktop Protocol (RDP) client.)
Instructor:
Dr. Edward (Denny) Dahl received his Ph.D. in theoretical physics from Stanford University in 1985. His thesis work was with Richard Blankenbecler at the Stanford Linear Accelerator Center on Hamiltonian methods in lattice gauge theories. Dr. Dahl transitioned into the field of neural networks in the 1980's, applying Hopfield networks to a variety of optimization problems and studying accelerated convergence techniques for stochastic gradient descent. He worked at Thinking Machines Corporation in the technical marketing group and was responsible for helping users develop algorithms that could run in the SIMD (single instruction multiple data) computational model. He obtained a patent for mapping irregular grid architectures to the hypercube architecture of the CM-2 system and was instrumental in the development of a macro programming language for the vector processors of the CM-5. Since then, Dr. Dahl has provided development support for management and optimization of high data volume and high complexity decision support systems at a variety of companies (Teradata, eBay, Wells Fargo, JP Morgan Chase, Bank of America). He joined D-Wave Systems in 2012.
