About IEEE Quantum Week
IEEE International Conference on Quantum Computing and Engineering (QCE20)
October 12-16, 2020
Omni Interlocken Hotel, Denver ─ Broomfield, Colorado, USA
Registration is now open. Please join us for the inaugural IEEE International Conference on Quantum Computing and Engineering (QCE20) or IEEE Quantum Week at the Omni Interlocken Hotel between Boulder and Denver nestled against the backdrop of the Rocky Mountains. With your contributions and your participation, together we can build a premier meeting to advance quantum computing, engineering, and technology.
With your contributions and your participation, together we can build a premier meeting of quantum minds and advance quantum computing, engineering, and technology. Quantum Week provides ample opportunities to network with your peers and explore partnerships with industry, government, and academia.
IEEE Quantum Week is a highly multidisciplinary quantum computing and engineering venue where you can discuss challenges and opportunities with quantum researchers, scientists, engineers, entrepreneurs, developers, students, practitioners, educators, programmers, and newcomers.
Quantum Week 2020 aims to bring together quantum professionals, researchers, educators, entrepreneurs, champions and enthusiasts to exchange and share their experiences, challenges, research results, innovations, applications, pathways and enthusiasm on all aspects of quantum computing, engineering and technologies.
The IEEE Quantum Week Conference invites contributions and participation from the international quantum community to form an exceptional program with outstanding keynote speakers, technical paper presentations, technical briefings, informative workforce-building tutorials, community-building workshops, exciting posters, and world-class exhibits.
IEEE Quantum Week aims to showcase quantum research, practice, applications, education, and training including programming systems, software engineering methods & tools, algorithms, benchmarks & performance metrics, hardware engineering, architectures, & topologies, software infrastructure, hybrid computing, simulating chemical, physical and biological systems, optimization, machine learning.