Psiket Library

This book, written by Alain Nouailhat, Director of Research at the French National Centre for Scientific Research (CNRS), provides a comprehensive and richly illustrated introduction to the world of nanoscience and nanotechnology. It begins with the scientific foundations needed to understand the nanoscale world, including quantum physics, molecular biology, and micro- and nanoelectronics, and then explores nanoscale observation and imaging technologies, applications of nanotechnology across various fields, and its impact on everyday life. The areas covered in the book include materials, energy, equipment, data management, micro- and nanoelectronics, and life sciences.

Quantum Machine Learning with Python by Santanu Pattanayak presents a mathematical and code-oriented approach to the fundamentals of quantum computing and its applications in machine learning. The book begins with an introduction to the basic concepts of quantum computing and its mathematical foundations, then explores quantum algorithms, the quantum Fourier transform, quantum machine learning, quantum deep learning, and quantum optimization methods. One of the key features of this work is its integration of theoretical and mathematical explanations with Python implementations of algorithms using software frameworks such as Cirq and Qiskit. This approach helps readers develop an understanding of the principles of quantum computing while becoming familiar with the implementation and simulation of related algorithms. The book is a practical resource for students, engineers, and researchers interested in quantum machine learning who wish to connect the theoretical foundations of the field with programming and algorithm development.

This book presents the mathematical foundations and theoretical principles of quantum computation through an accessible, step-by-step approach. It is designed for students of computer science, physics, and mathematics who have no prior specialized knowledge of quantum computing. The book is organized into two main parts. Part I develops the mathematical foundations, covering topics such as sets, functions, complex numbers, Boolean algebra, group theory, vectors, matrices, vector spaces, eigenvalues and eigenvectors, linear transformations, linear operators, and tensor product spaces. Part II introduces the foundations of quantum-gate computation, including the axioms of quantum computation, qubits, quantum measurement, quantum information processing, quantum circuits, and algorithms such as Simon's algorithm. Worked examples and exercises help readers strengthen their mathematical understanding and connect abstract concepts to the principles of quantum computation

This book, edited by Alexander V. Sergienko, is a specialized reference on quantum communications and cryptography, presenting a comprehensive collection of fundamental and applied topics in the field. By bridging the foundations of quantum physics with the engineering and practical aspects of quantum communications, the book explores topics such as quantum cryptography, optical communications based on entangled photons, quantum communication networks and systems, and quantum information processing.