5 papers
Auditing Retrieval-Augmented LLM Hypotheses for Longitudinal Cell Painting Morphology
Gilchan Park, Guang Zhao, Byung-Jun Yoon +1
High-content morphological profiling (Cell Painting) yields sensitive, high-dimensional signatures of cellular state, but translating longitudinal morphology trajectories into inte…
Characterizing Quantum Error Correction Performance of Radiation-induced Errors
Paul G. Baity, Anuj K. Nayak, Lav R. Varshney +4
Radiation impacts are a current challenge with computing on superconducting-based quantum devices because they can lead to widespread correlated errors across the device. Such erro…
Iterative Decoding of Stabilizer Codes under Radiation-Induced Correlated Noise
Anuj K. Nayak, Paul G. Baity, Peter J. Love +4
Fault-tolerant quantum computation demands extremely low logical error rates, yet superconducting qubit arrays are subject to radiation-induced correlated noise arising from cosmic…
Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis
Sanket Jantre, Tianle Wang, Gilchan Park +5
Identification of protein-protein interactions (PPIs) helps derive cellular mechanistic understanding, particularly in the context of complex conditions such as neurodegenerative d…
Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features
Gilchan Park, Paul Baity, Byung-Jun Yoon +1
Quantum computing is rapidly evolving in both physics and computer science, offering the potential to solve complex problems and accelerate computational processes. The development…