QCE20 Workshop on
Solution Architecture for Quantum Hardware and Software Development


Date and Time

  • Tue, Oct 13, 2020
  • 10:45─16:45 Mountain Time (MDT) — UTC-6



In the broadest sense, the solution architecture (shared mathematical concept) for the classical computational paradigm of the 20th century has been the algebra of Euclidean spaces and their variations such as finite fields, rings, groups, and graphs. With the aid of this solution architecture, ideas of universal circuits, hardware design, error-detection & -correction codes, firmware, compilers, software design, and tools and applications have been developed and optimized to enable the current cyber-physical economy, even though much of this solution architecture arose after the availability of classical computers on which it was implemented.

For the quantum computational paradigm, the solution architecture is the algebra of projective complex Hilbert spaces. While the dawn of the 21st century is seeing the proof-of-principle, first generation of quantum computational technologies becoming real, a deeper study of the solution architecture for these technologies is essential to see their optimized and practically useful next generations. Based on the historical precedent of solution architecture for classical computing, this workshop aims to bring together developers and early-users of quantum computers so as to talk to each other directly and establish a common solution architecture for the development of quantum computers, while both systems and applications are still embryonic.

Target Audience

With their abstract and broad approach to problem solving, formal mathematical methods offer a grander scope for precisely modeling problems and for developing equally precise solutions. Such methods can bring forth unrecognized issues and problems, as well as recognize interconnectivity of problems that were previously unknown. This can produce robust solutions. Echoing the sentiments of C. F. Gauss, the 19th century German mathematician par excellence: “Mathematics is the Queen of Science.”

Scientists and engineers who appreciate Gauss’ sentiments and the power of formal mathematical reasoning—its rigorous approach to problem solving as well as the entailing deeper insights and the solutions that follow—will find this workshop informative and insightful.


  • Steven Bleiler, Portland State University
  • Stuart Hadfield, Quantum Artificial Intelligence Lab, NASA
  • Raouf Dridi, Quantum Computing Inc.
  • Samah Saeed, City College of New York
  • Marek Perkowski, Portland State University
  • Faisal Shah Khan, Khalifa University
  • Constantin Gonciulea, Distinguished Eng. & Exe. Director, JPMorgan Chase

Contact Us

For more information about the Solution Architecture for Quantum Hardware and Software Development workshop, contact Faisal Shah Khan (faisal.khan@ku.ac.ae)