Table of Contents
Introduction: A Quantum Adventure
What Is This Project About?
The Problems We Face
My Journey and Discoveries
Table of Contents Introduction: A Quantum Adventure What Is This Project About? The...
LLM-GNN hybrid architecture optimizes ADAPT-QAOA quantum circuits, surpassing Vanilla QAOA with 0.9+ approximation ratio and compact designs on graph problems. Enables quantum solutions for enterprise logistics and resource optimization; scalable framework reduces classical computation bottleneck in real-world deployment.
Table of Contents
Introduction: A Quantum Adventure
What Is This Project About?
The Problems We Face
My Journey and Discoveries

Researchers from the MIT-IBM Computing Research Lab and IBM Quantum have developed a multimodal alignment framework that maps…

An AI-assisted framework may help researchers find useful patterns in quantum algorithms before spending time running them on…

Researchers demonstrated a hybrid quantum-classical portfolio optimization workflow that outperformed standalone QAOA .

Quantum advantage is here. The next question is where to apply it. New updates from the Quantum Optimization Working Group offer…

Novel algorithms and community benchmarking efforts are reshaping how researchers search for advantage in quantum optimization.

An international research consortium led by IBM Quantum, Zuse Institute Berlin (ZIB), Technische Universität Berlin, and Purdue…