Quantum Machine Learning

Quantum Machine LearningThe scope of the book spans from the fundamental postulates of quantum mechanics and quantum algorithms that underpin QML, to advanced topics including variational quantum algorithms, quantum neural networks, and quantum generative models. It covers both the theoretical formulations, such as expressivity, generalization bounds, and kernel methods, and practical applications, ranging from optimization and pattern recognition to simulation and sensing.

soil and water conservation

but is often overlooked by beef researchers

This chapter provides a description of the urban environment for bees

It recalls the genealogies of the plural processes

from planting to soil management

the Crosleys witnessed the last gasps of the Russian Empire and the emergence of the new Bolshevik-led communist regime

as well as the general reader wanting to move beyond shallow and sensational accounts of a subject of compelling in

and a companion website

It is essential that law firm owners and managers acknowledge and have strategies to accommodate risk management

Spacing Ireland explores questions of ‘space’ and ‘place’ to understand the nature of major social

Different strategies in water management exist to deal with water scarcity issues in agriculture

Inspired by Italo Calvino’s book Invisible Cities