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

• funded by: NSF
• (phase 1 award abstract) via subcontract from Duke U.
  • funding level: $320,000
  • duration: 08/01/2021 - 07/31/2023 (no-cost extension to 07/31/2024)
• (phase 2 award abstract) via subcontract from Duke U.
  • funding level: $2,250,000
  • duration: 09/01/2023 - 08/31/2028

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
• Quantum Physics Inspired Methods for Two-Batch PWR Loading Pattern Optimization by Joseph Fustero, Frank Mueller, David Kropaczek, Colleen Farrelly in American Nuclear Society, Annual Meeting (ANS-AM), Jun 2022
• Combining Hard and Soft Constraints in Quantum Constraint-Satisfaction Systems by Ellis Wilson, Frank Mueller, Scott Pakin in Supercomputing (SC), Nov 2022. Software artifact github and NchooseK main repo
• QisDAX: An Open Source Bridge from Qiskit to Ion Trap Quantum Devices and Beyond by Kaustubh Badrike, Aniket S. Dalvi, Filip Mazurek, Marissa D'Onofrio, Jacob Whitlow, Tianyi Chen, Samuel Phiri, Leon Riesebos, Kenneth R. Brown, Frank Mueller in IEEE International Conference on Quantum Computing and Engineering (QCE), Oct 2023. Software artifact QisDAX
• DISQ: Dynamic Iteration Skipping for Variational Quantum Algorithms by Junyao Zhang, Hanrui Wang, Gokul Subramanian Ravi, Fred Chong, Song Han, Frank Mueller, Yiran Chen in IEEE International Conference on Quantum Computing and Engineering (QCE), Oct 2023

• "QisDAX: An Open Source Bridge from Qiskit to rapped-Ion Quantum Devices" by Kaustubh Badrike, M.S. Thesis, North Carolina State University, May 2023

• Quantum Tutorial
• Quantum Computing Graduate Classes

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