About IEEE Quantum Week October 12-16, 2020

IEEE International Conference on Quantum Computing and Engineering (QCE)
Omni Interlocken Hotel, Denver ─ Broomfield, Colorado, USA

Omni Interlocken Hotel with
access to Rocky Mountains

The IEEE Future Directions Quantum Initiative invites you to IEEE Quantum Week 2020—the inaugural IEEE International Conference on Quantum Computing and Engineering (QCE). 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 venue where you can discuss challenges and opportunities with quantum researchers, scientists, engineers, entrepreneurs, developers, students, practitioners, educators, programmers, and newcomers.

Quantum Week 2020, IEEE International Conference on Quantum Computing & Engineering, 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 keynotes, technical paper presentations, technical briefings, informative tutorials, community-building workshops, collocated events, 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.


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