This project applies Quantum Approximate Optimization Algorithm (QAOA) to a real-world problem: routing organs through interconnected hub networks while minimizing cost and respecting time constraints ...

if p1_start <= p2_end and p1_end >= p2_end or p2_start <= p1_end and p2_end >= p1_end: return True #if p1_start <= p2_end and p2_start <= p1_end: return True def ...

Dr. James McCaffrey of Microsoft Research explains how to implement a geometry-inspired optimization technique called spiral dynamics optimization (SDO), an alternative to Calculus-based techniques ...

Overview: Qiskit remains the world’s most widely used quantum SDK for research and enterprise projects.AI and quantum ...

Abstract: A hybrid quantum-classical framework is exploited to solve the Traveling Salesman Problem (TSP) based on a Quantum Approximate Optimization Algorithm (QAOA). To overcome the computational ...

Abstract: Feature selection is a pivotal step in machine learning, aimed at reducing feature dimensionality and improving model performance. Conventional feature selection methods, typically framed as ...