2 papers
quant-ph2026
DQAOA-GPT: AI-Accelerated Distributed Quantum Optimization for Combinatorial Problems
Seongmin Kim, Abhinav Rijal, Yuri Alexeev +5
While combinatorial optimization problems are central to many scientific and engineering applications, their solution remains challenging due to exponentially large search spaces.…
quant-ph2025
Extending QAOA-GPT to Higher-Order Quantum Optimization Problems
Leanto Sunny, Abhinav Rijal, George Siopsis
The recently proposed QAOA-GPT framework demonstrated that generative pre-trained transformers can learn mappings between problem graphs and optimized quantum circuits for the Quan…