Colin P. Williams, California
Institute of Technology
Geordie Rose, D-Wave
Jaw-Shen Tsai, NEC Fundamental Research
Umesh Vazirani, University of California, Berkeley
Tad Hogg, Hewlett-Packard Labs
The last 15 years has witnessed an eruption of
discovery in the domains of quantum information and quantum
computation; fields that study how quantum mechanical systems
can be harnessed for information processing tasks. The ultimate
prize in this quest is the ability to model quantum-mechanical
processes both accurately and efficiently. Many other jewels
of discovery are certain to dot the road towards that goal.
Why is quantum modeling important? Just as today's
nearly $200B semiconductor market relies on accurate device-level
modeling for complex integrated circuit design and manufacture,
the burgeoning nanotechnology market will ultimately need precision
modeling of large quantum mechanical systems to create future
nano-scale products. However, as Nobelist Richard Feynman observed
in the 1980s, a seemingly insurmountable roadblock exists: simulating
quantum-mechanical processes on a conventional digital computer
is intractable, requiring super-polynomial memory and time.
Could the quantum computer be the answer? Proving
that fact is far stranger than fiction, these mind-bending machines
use the weird properties of quantum parallelism to solve certain
intractable, NP problems in polynomial time. Other algorithms
enjoy quadratic speedups.
We have assembled a distinguished panel of pioneering
experts from industry and academia to review the state-of-the-art
of quantum computation and how it relates to nanotechnology.
Dr. Colin Williams will lead our session with an introduction
to the fundamental concepts and practicalities of quantum computation.
Other topics of discussion will include: What hardware approaches
to quantum computation are being pursued by the panelists' organizations?
How do they work? What other hardware approaches appear promising?
What barriers to implementation exist? What applications and
algorithms will potentially benefit from quantum computation?
How will quantum modeling be done? What is the development timeline
for the quantum computer?
Please join us for what promises to be a fascinating
look into the future of computing.
Richard Gordon, T-Zero Engineering.
Dr. Colin Williams, Senior Research Scientist
and Program Manager for the Advanced Computing Paradigms, in
the Information Technology Program Office at the Jet Propulsion
Laboratory, California Institute of Technology.
Dr. Geordie Rose, CEO, D-Wave Systems,
Dr. Jaw-Shen Tsai is a Research Fellow
at NEC Fundamental Research Laboratories, where he leads their
quantum computing research, and is also an American Physical
Dr. Umesh Vazirani, Professor, Department
of Electrical Engineering & Computer Science, University
of California, Berkeley.
Dr. Tad Hogg, Member of the Information
Dynamics Group, Hewlett-Packard Labs.
5:30 - 6:30
Hors d'oeuvres & Networking
6:30 - 6:40 Opening Remarks and Panel Introduction
6:40 - 7:00 A Brief Tutorial on Quantum Computing
7:00 - 8:30 Individual presentations
8:30 - 9:15 Q&A and Panel Discussion with All Panelists
Event Sponsors &