Microsoft quantum software experts and the University of Washington instructed a 10-week, for credit, Introduction to Quantum Computing and Quantum Programming (Winter 2019) Bachelors-level course in Q#, teaching quantum computing to computer scientists and non-physicists. Students were also able to tap into a rich collection of quantum programming exercises in Q# (quantum katas) hosted on github. Given the success of the course, Microsoft is now extending Q# and QDK-focused curriculum content to universities globally. Please contact Quantumcurriculum@microsoft.com to learn more.
Microsoft is partnering with the Director of Data Analytics Program, Washington State University (Organizing member of NQN), Professor Nella Ludlow, to integrate Q# and QDK curriculum at Wright State University’s Introductory Quantum Computing Course.
Washington Nanofabrication undergraduate cleanroom grants for quantum technologies encourages the next generation of quantum pioneers: students receive grants to fabricate nanoscale quantum devices.
Support and participation in University of British Columbia Canada’s Digital Technology Supercluster (CDTS) – Capacity Building proposal
Professor Boris Blinov, University of Washington and Professor Kai-Mei Fu, University of Washington – “Quantum entanglement between a solidstate spin and trapped ion via a photonic link” funded by the Department of Energy targeting research in materials and chemistry to advance Quantum Information Science.
John Orrell, Pacific Northwest National Laboratory, High Energy Physics Quantum Information Science, Department of Energy funded – “Phonon coupling to super conducting quasiparticle-sensitive sensors and qubits.” Pacific Northwest National Laboratory will lead a study on Phonon Coupling into Superconductors to advance quantum information science and dark matter searches.
Professor Kai-Mei Fu, University of Washington – Quantum Leap Challenge Institute for Hybrid Quantum Systems. This National Science Foundation award focuses on advancing the frontiers of quantum information science and engineering and fostering multidisciplinary approaches to specific scientific, technological and workforce development goals.