It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new ...

Moreover, nonlinear optimization can be computationally expensive in terms of time and memory, so care must be taken when matching an algorithm to a problem. the function value (optimization criterion ...

The research team (NEAL) from the University of South China has made significant progress in nuclear reactor ...

A quantum computer can solve optimization problems faster than classical supercomputers, a process known as "quantum ...

AI-driven routing algorithms help ships collect 60% more ocean plastic without extra costs, making cleanup faster and more ...

Two key areas where quantum technologies promise significant breakthroughs are portfolio optimization and market sentiment ...

This course examines formulation and solution of applicable optimization models, including linear, integer, nonlinear, and network problems, efficient algorithm methods, and use of computer modeling ...

Researchers developed a machine-learning-guided technique to solve complex, long-horizon planning problems more efficiently than some traditional approaches, while arriving at an optimal solution that ...

After obtaining feasible solutions from classical optimization, MicroAlgo CBQOA employs Continuous-Time Quantum Walk (CTQW) to search the solution space. CTQW is a random walk model in quantum ...