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

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.

• 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.

• TBA

"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."