26 citations · 26 across the 9 of their papers we have counts for
5 papers · 1 filter
Logarithmic-scale variational quantum eigensolver for off-lattice protein structure prediction in continuous torsional angle space
Fabio Cumbo, Bryan Raubenolt, Varun Puram +3
Classical and current quantum approaches to protein structure prediction (QPSP) face limitations, notably massive qubit requirements restricting near-term models to simplistic on-l…
InterQ: Communication-Aware Scheduling Across Modular QPUs with Classical and Quantum Links
Vinooth Kulkarni, Jaehyun Lee, Lauren Li +5
As quantum computing scales toward practical workloads, future systems are expected to move beyond single monolithic processors toward modular architectures that connect multiple Q…
QuMod: Parallel Quantum Job Scheduling on Modular QPUs using Circuit Cutting
Vinooth Kulkarni, Aaron Orenstein, Xinpeng Li +3
The quantum computing community is increasingly positioning quantum processors as accelerators within classical HPC workflows, analogous to GPUs and TPUs. However, many real-world…
hdlib 2.0: Extending Machine Learning Capabilities of Vector-Symbolic Architectures
Fabio Cumbo, Kabir Dhillon, Daniel Blankenberg
Following the initial publication of hdlib, a Python library for designing Vector-Symbolic Architectures (VSA), we introduce a major extension that significantly enhances its machi…
An Automatic Pipeline for the Integration of Python-Based Tools into the Galaxy Platform: Application to the anvi'o Framework
Fabio Cumbo, Jayadev Joshi, Daniel Blankenberg
The integration of command-line tools into the Galaxy platform is crucial for making complex computational methods accessible to a broader audience and ensuring reproducible resear…