1 citations · 1 across the 3 of their papers we have counts for
5 papers
Protein Design with Agent Rosetta: A Case Study for Specialized Scientific Agents
Jacopo Teneggi, S. M. Bargeen A. Turzo, Tanya Marwah +4
Large language models (LLMs) are capable of emulating reasoning and using tools, creating opportunities for autonomous agents that execute complex scientific tasks. Protein design…
MIMIC: A Generative Multimodal Foundation Model for Biomolecules
Siavash Golkar, Jake Kovalic, Irina Espejo Morales +28
Biological function emerges from coupled constraints across sequence, structure, regulation, evolution, and cellular context, yet most foundation models in biology are trained with…
Playing Dice with the Universe: Programming Quantum Computers to Play Traditional Games
Tristan Zaborniak, Vikram Khipple Mulligan
The challenge of programming classical computers to play traditional, competitive games against human players has helped to advance classical hardware and software. Quantum compute…
Qubit-efficient and gate-efficient encodings of graph partitioning problems for quantum optimization
Tristan Zaborniak, Prashanti Priya Angara, Vikram Khipple Mulligan +2
We introduce a qubit- and gate-efficient higher-order unconstrained binary optimization (HUBO) encoding for graph partitioning problems requiring label-count minimization. This wid…
Entangled happily ever after: Wedding reception seating mapped to classical and quantum optimizers
Karie A. Nicholas, Vikram Khipple Mulligan
Although optimization is one of the most promising applications of quantum computers, the development of effective optimization strategies requires real-world test cases. When plan…