3 papers
quant-ph2026
Q3SAT-GPT: A Generative Model for Discovering Quantum Circuits for the 3-SAT Problem
Pratim Ugale, Ilya Tyagin, Karunya Shirali +2
This work introduces Q3SAT-GPT, a generative model for discovering quantum circuits for the Max-E3-SAT problem. Our method learns from high-performing QAOA-style ansätze to direct…
cs.IR2025
Biomedical Hypothesis Explainability with Graph-Based Context Retrieval
Ilya Tyagin, Saeideh Valipour, Aliaksandra Sikirzhytskaya +2
We introduce an explainability method for biomedical hypothesis generation systems, built on top of the novel Hypothesis Generation Context Retriever framework. Our approach combin…
quant-ph2025
QAOA-GPT: Efficient Generation of Adaptive and Regular Quantum Approximate Optimization Algorithm Circuits
Ilya Tyagin, Marwa H. Farag, Kyle Sherbert +3
Quantum computing has the potential to improve our ability to solve certain optimization problems that are computationally difficult for classical computers, by offering new algori…