首页|Studies from Autonomous University Madrid Yield New Information about Machine Le arning (Quantum Reservoir Complexity By the Krylov Evolution Approach)
Studies from Autonomous University Madrid Yield New Information about Machine Le arning (Quantum Reservoir Complexity By the Krylov Evolution Approach)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting originating from Madrid, Spain, by NewsR x correspondents, research stated, “Quantum reservoir computing algorithms recen tly emerged as a standout approach in the development of successful methods for the noisy intermediate-scale quantum (NISQ) era because of its superb performanc e and compatibility with current quantum devices. By harnessing the properties a nd dynamics of a quantum system, quantum reservoir computing effectively uncover s hidden patterns in data.” Financial supporters for this research include La Caixa Foundation, Spanish Mini stry of Science, Innovation and Universities, Gobierno de Espana, Consejo Nacion al de Investigaciones Cientificas y Tecnicas (CONICET), UBACyT, ANPCyT, European Union (EU).
MadridSpainEuropeCyborgsEmerging TechnologiesMachine LearningAutonomous University Madrid
NETL
NSTL
