DIGITAL QUBO Mathematical Form: A QUBO problem is represented as: min ⁡ 𝑥 𝑇 𝑄 𝑥 minx T Qx where: 𝑥 x is a vector of binary variables (0 or 1). 𝑄 Q is a square matrix containing the problem’s coefficients. Applications: Optimization: Solves problems in logistics, finance, and scheduling. Machine Learning: Used for feature selection and clustering. Cryptography: Helps in cryptanalysis and code-breaking. Drug Discovery: Aids in molecular structure optimization. Digital vs. Quantum QUBO: Digital QUBO is solved using classical computing techniques such as simulated annealing or tensor networks. Quantum QUBO is executed on quantum annealers like D-Wave or hybrid quantum-classical systems. IF ANY QUERY CONTACT SOHAN LAL GUPTA & CO. MOBILE NUMBER:8650333361