Post by SaiKrishna Thopula

🚀 Deep Dive into Quantum Optimization & AI As part of the WISER Summer Program 2026, I compiled a structured study guide covering key concepts in quantum optimization and quantum machine learning. Topics covered: ✅ QAOA (Quantum Approximate Optimization Algorithm) ✅ QUBO Formulation ✅ Barren Plateaus ✅ Quantum Machine Learning (QML) ✅ Quantum Advantage ✅ Pareto Fronts & Multi-Objective Optimization ✅ Hybrid Quantum-Classical Computing For each topic, I focused on: Definition Real-world problem it solves Why existing methods struggle Advantages and limitations Current research status Future directions Interview-style questions One key lesson from the IBM Quantum keynote: Understanding a definition is not enough. Real understanding comes from knowing the bottlenecks, trade-offs, and challenges behind a technology. Excited to continue exploring the intersection of Quantum Computing, AI, and Optimization. #QuantumComputing #QuantumOptimization #QAOA #QML #WISER #ArtificialIntelligence #Optimization #IBMQuantum #LearningJourney #FutureTech #AmaravatiQuantumValley