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Join Dr. Davide Venturelli to explore the co-design, construction, and testing of superconducting quantum processors and quantum optimization algorithms.

13:00 EST / 18:00 GMT / 19:00 CEST


Abstract:

We present work where we co-designed, built, and tested superconducting quantum processors and quantum optimization algorithms to investigate opportunities and challenges for near-intermediate scale quantum (NISQ) computers in solving combinatorial optimization problems. We invented, implemented, and experimentally benchmarked the performance of quantum optimization algorithms up to ten thousand quantum operations, executed on 80Q multi-chip quantum processor. We discuss developed advanced quantum mixing strategies for encoding and solving optimization problems via hardware-efficient algorithms, including iterative quantum optimization eliminations, augmented mixer-phaser ansatzes, and quantum relax-and-round techniques. The algorithm developments can be combined with noise mitigation processes, including time-block parameterization, order tuning, noise-directed adaptive remapping, greedy post-processing, and randomized compilation.

About the Speaker:

Dr. Davide Venturelli is currently Associate Director for Quantum Technologies and Fellow at the USRA Research Institute for Advanced Computer Science (RIACS) in California. He has worked since 2012 in the NASA Quantum AI Laboratory (QuAIL) under the NASA Academic Mission Service, invested in research projects dealing with quantum optimization applications and their implementation in a hardware-software co-design approach. He is the lead of the applications group of the National Quantum Initiative Superconducting Quantum Materials and System (SQMS) Center at Fermi National Laboratory. In 2021 he was elected board member of the Quantum Economic Development Consortium (QED-C), the organism coordinating 100+ companies involved in building the supply chain for the emergent quantum technology industry.