Quantum Machine Learning in Automation by Anupam Ghosh (.ePUB)+
File Size: 54.2 MB
Quantum Machine Learning in Industrial Automation by Anupam Ghosh, Soumi Dutta, Asit Kumar Das, Vinod Kumar Shukla, Fernando Moreira
Requirements: .ePUB, .PDF reader, 54.2 MB | True PDF, True EPUB
Overview: This book focuses on Quantum Machine Learning that harnesses the collective properties of quantum states, such as superposition, interference, and entanglement, uses algorithms run on quantum devices, such as quantum computers, to supplement, expedite, or support the work performed by a classical Machine Learning program. The devices that perform quantum computations are known as quantum computers. Quantum computers have the potential to revolutionize computation by making certain types of classically intractable problems solvable. A few large companies and small start-ups now have functioning non-error-corrected quantum computers composed of several tens of qubits, and some of these are even accessible to the public through the cloud. Additionally, quantum simulators are making strides in fields varying from molecular energetics to many-body physics. Most known use cases fit into four archetypes: quantum simulation, quantum linear algebra for AI and Machine Learning, quantum optimization and search, and quantum factorization.
Genre: Non-Fiction > Tech & Devices
Free Download links: