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

Additionally, the algorithm can be applied in areas such as quantum simulation and quantum optimization, offering new technological tools and solutions for research and development in these domains.

On the 8th of December 2021, M.Sc. Kari Rantanen will defend his doctoral thesis on Optimization Algorithms for Learning Graphical Model Structures. The thesis a part of research done in the ...

Quantum computers of the future hold promise for solving complex problems more quickly than ordinary computers. For example, they can factor large numbers exponentially faster than classical ...

While algorithms written for the GPU are often much faster, the process of building a framework for developing and testing them can be time-consuming. Many programmers write CUDA kernels integrated ...

MathWorks announced that BuildingIQ is using the data analytics capabilities in its MATLAB tool to speed the development and deployment of predictive algorithms for HVAC energy optimization.

March 13, 2007 Given the increasing use of algorithms, we expect many of our readers will rejoice at MathWorks newly announced introduction of two MATLAB builders that let application developers ...