PFCQC: STAQ: Software-Tailored Architecture for Quantum co-design

• funded by: NSF (award abstract) via subcontract from Duke U.
• funding level: $320,000
• duration: 08/01/2021 - 07/31/2023

Quantum computing has the potential to provide a significant advantage over classical computing in terms of algorithmic complexity. The STAQ project is focused on demonstrating such an advantage on an ion trap quantum hardware platform developed at Duke with 64 or more qubits. This requires a co-design between hardware and software to be successful, which Duke University has been developing. NCSU complements these efforts, potentially leading to earlier demonstration of quantum advantage, by creating a transpiler to translate Qiskit programs to run on STAQ devices, assess benefits of creating complex native gates, and modeling the reliability of STAQ ion trap quantum computers.

• Quantum Annealing Stencils with Applications to Fuel Loading of a Nuclear Reactor by Joseph Fustero, Scott Palmtag, Frank Mueller in IEEE International Conference on Quantum Computing and Engineering (QCE), Oct 2021
• Mapping Constraint Problems onto Quantum Gate and Annealing Devices by Ellis Wilson, Frank Mueller, Scott Pakin in International Workshop on Quantum Computing Software, Nov 2021.
• "Empirical Evaluation of Circuit Approximations on Noisy Quantum Devices" by Ellis Wilson, Frank Mueller, Lindsay Bassman, Constin Iancu, in Supercomputing (SC), Nov 2021, pages, Preprint arXiv:2107.06701

• TBA

• Quantum Tutorial
• Quantum Computing Graduate Classes

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