algorithm, which aims to address complex combinatorial optimization problems using quantum computing. This algorithm leverages the parallel computing power of quantum systems and combines ...

Post-Processing Variationally Scheduled Quantum Algorithm for Constrained Combinatorial Optimization Problems. IEEE Transactions on Quantum Engineering , 2024; 1 DOI: 10.1109/TQE.2024.3376721 Cite ...

Algorithm, for Combinatorial Optimization Problems to Expand and Solve New Ideas Shenzhen, May. 14, 2025––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced the ...

Optimization problems can be tricky, but they make the world work better ... Naturally, you want to find the lowest point on this line, where the cost is smallest. Gradient descent algorithms feel ...

A group of researchers working with IBM have been crafting and testing special algorithms for specific problems that work with quantum circuits. That means the broad category of optimization tasks ...

James McCaffrey of Microsoft Research says that when quantum computing becomes generally available, evolutionary algorithms for training huge neural networks could become a very important and common ...

"Optimization algorithms generate holograms by solving the inverse problem in CGH, but simply optimization does not necessarily guarantee the generation of an appropriate hologram. Careful ...