Collaborative Research: PPoSS: LARGE: Cross-layer Coordination and
Optimization for Scalable and Sparse Tensor Networks (CROSS)
- funded by: NSF
(award
abstract)
- funding level: $3,033,782
- duration: 09/15/2023 - 08/31/2028
- lead PI: Jiajia Li, NCSU, CSC
This project aims to devise efficient
tensor networks, especially for sparse data, which are prevalent in
many real-world applications. The impacts of the project encompass
four aspects: 1) Improving data compression, computation, memory
usage, and interpretability of tensor networks; 2) fostering enduring
and collaborative partnerships among academia, national research labs,
and industry with a shared focus on the aforementioned applications;
and 3) broadening education avenues by designing relevant new courses,
training undergraduate and graduate students, organizing workshops,
and enhancing K-12 outreach.
Publications:
-
Synthesis of Approximate Parametric Circuits for Variational Quantum Algorithms by
Blake Burgstahler, Frank Mueller and
Scott Pakin in
IEEE International Conference on Quantum Computing and Engineering (QCE), Sep 2024.
-
DiaQ: Efficient State-Vector Quantum Simulation by
Srikar Chundury, Jiajia Li, In-Saeng Suh and
Frank Mueller in ArXiv, May 2024.
- 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 Ion Trap Quantum Devices 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
-
A PEPS plugin for TNQVM by
Srikar Chundury, J. Lietz, E. A. C. Perez,
A. Shehata, In-Saeng Suh and Frank Mueller in
IEEE International Conference on Quantum Computing and Engineering (QCE), Sep 2023.
-
Synthesis of Approximate Parametric Circuits for Variational Quantum Algorithms by
Blake Burgstahler, Frank Mueller and
Scott Pakin in
Quantum Simulation Conference (QSim), Aug 2023; later version
in IEEE International Conference on Quantum Computing and Engineering (QCE), Sep 2023.
Theses:
"This material is based upon work supported by the National Science
Foundation under the grant number indicated by the NSF URL above."
"Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation."