Quantum and Brain-Inspired Device Modeling. Non-Equilibrium Green's Function Simulator for Qubits to Neuromorphic Computing (en Inglés) - Basudev Nag Chowdhury

The book can be considered as a conceptual integration of two parallel  emergent streams: quantum technology and brain-inspired computing, from the perspective of information processing. The book addresses the current issues associated with the non-equilibrium processes involved in either stream that cannot be explained by conventional semi-classical or equilibrium-statistical models. The purpose of this book is to provide a detailed explanation of how the non-equilibrium Green's function (NEGF) method can be utilized to develop quantum and brain-inspired device simulators. The book covers the fundamental concepts of NEGF and its relevance in describing communication between the quantum and classical world. It also outlines its applications in modeling quantum transport in ultra-scaled devices such as nano-MOS/MOSFETs, photodetectors, solar cells, LEDs, lasers, and metasurfaces. Additionally, the book discusses non-conventional phenomena related to phonons and electron spin in quantum devices. The NEGF method presented in the book is also used to model qubit operations as-well-as functional connectivity in brain and neuromorphic computing devices. Finally, based on the physical insights behind NEGF formalism, the book proposes exploring fractional dimensions to offer a new vision of the real world. 

The De Gruyter Series in Mathematics and Life Sciences is devoted to the publication of monographs in the field. They cover topics and methods in fields of current interest that use mathematical approaches to understand and explain, model and influence phenomena in all areas of life sciences. This includes, among others, theory and application of biological mathematical modeling, complex systems biology, bioinformatics, computational biomodeling stochastic modeling, biostatistics, computational evolutionary biology, comparative genomics, or structural bioinformatics. Also, new types of mathematical problems that arise from biological knowledge shall be covered.