DIGITAL QUBO

Mathematical Form:
A QUBO problem is represented as:

min
โก
๐‘ฅ
๐‘‡
๐‘„
๐‘ฅ
minx
T
Qx
where:

๐‘ฅ
x is a vector of binary variables (0 or 1).
๐‘„
Q is a square matrix containing the problemโ€™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.

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