👉 Wang computing, also known as Wang's algorithm or Wang's quantum algorithm, is a quantum algorithm designed to solve the problem of finding the closest vector in a high-dimensional lattice, which has applications in various fields including cryptography and optimization. Developed by Wang Jianping, this algorithm leverages quantum mechanics principles such as superposition and entanglement to efficiently search through exponentially large solution spaces. Unlike classical algorithms that struggle with the "curse of dimensionality," Wang computing can find the closest vector in a lattice with a time complexity that scales more favorably with the dimension of the lattice, making it particularly useful for tasks like breaking certain cryptographic systems or optimizing complex systems in high-dimensional spaces.
