The purpose of this proceedings volume is to return to the starting point of bio-informatics and quantum information, fields that are growing rapidly at present, and to seriously attempt mutual interaction between the two, with a view to enumerating and solving the many fundamental problems they entail. For such a purpose, we look for interdisciplinary bridges in mathematics, physics, information and life sciences, in particular, research for new paradigm for information science and life science on the basis of quantum theory.

This book is a self-contained, tutorial-based introduction to quantum information theory and quantum biology. It serves as a single-source reference to the topic for researchers in bioengineering, communications engineering, electrical engineering, applied mathematics, biology, computer science, and physics. The book provides all the essential principles of the quantum biological information theory required to describe the quantum information transfer from DNA to proteins, the sources of genetic noise and genetic errors as well as their effects. Integrates quantum information and quantum biology concepts; Assumes only knowledge of basic concepts of vector algebra at undergraduate level; Provides a thorough introduction to basic concepts of quantum information processing, quantum information theory, and quantum biology; Includes in-depth discussion of the quantum biological channel modelling, quantum biological channel capacity calculation, quantum models of aging, quantum models of evolution, quantum models on tumor and cancer development, quantum modeling of bird navigation compass, quantum aspects of photosynthesis, quantum biological error correction.

The purpose of this proceedings volume is to look for interdisciplinary bridges in mathematics, physics, information and life sciences, in particular, research for new paradigms for information and life sciences on the basis of quantum theory. The main areas in this volume are all related to one of the following subjects: (1) mathematical foundation of quantum mechanics, (2) quantum information, (3) quantum algorithm and computation, (4) quantum communication, (5) white noise analysis and quantum dynamics, (6) chaos dynamics and adaptive dynamics, (7) experimental studies of quantum computer, (8) bio-informatics and (9) genome analysis.

The purpose of this volume is examine bio-informatics and quantum information, which are growing rapidly at present, and to attempt to connect the two, with a view to enumerating and solving the many fundamental problems they entail. To this end, we look for interdisciplinary bridges in mathematics, physics, and information and life sciences. In particular, research into a new paradigm for information science and life science on the basis of quantum theory is emphasized. Sample Chapter(s). Markov Fields on Graphs (599 KB). Contents: Markov Fields on Graphs (L Accardi & H Ohno); Some Aspects of Time Operators (A Arai); Time Optimal Quantum Control of Mixed States (A Carlini et al.); On a Quantum Model of the Recognition Process (K-H Fichtner et al.); Perspectives of White Noise Analysis (T Hida); Review on Quantum Chaos Algorithm and Generalized Quantum Turing Machine (S Iriyama & M Ohya); Cauchy Problems for Some Biological Systems OCo Modelling by Stochastic Differential Equations (A Jamiolkowski); On Non-Markovian Time Evolution in Open Quantum Systems (A Kossakowski & R Rebolledo); Adaptive Dynamics and Its Applications to Chaos and NPC Problem (M Ohya); Micro-Macro Duality and Emergence of Macroscopic Levels (I Ojima); Josephson Flux Qubit (H Takayanagi); Note on Quantum Mutual Entropy Type Measures (N Watanabe); Toward in Silico Biology (From Sequence to Systems) (I Yamato et al.); and other papers. Readership: Physicists, researchers in quantum information and bioinformatics.

The purpose of this volume is examine bio-informatics and quantum information, which are growing rapidly at present, and to attempt to connect the two, with a view to enumerating and solving the many fundamental problems they entail. To this end, we look for interdisciplinary bridges in mathematics, physics, and information and life sciences. In particular, research into a new paradigm for information science and life science on the basis of quantum theory is emphasized.

This monograph provides a mathematical foundation to the theory of quantum information and computation, with applications to various open systems including nano and bio systems. It includes introductory material on algorithm, functional analysis, probability theory, information theory, quantum mechanics and quantum field theory. Apart from standard material on quantum information like quantum algorithm and teleportation, the authors discuss findings on the theory of entropy in C*-dynamical systems, space-time dependence of quantum entangled states, entangling operators, adaptive dynamics, relativistic quantum information, and a new paradigm for quantum computation beyond the usual quantum Turing machine. Also, some important applications of information theory to genetics and life sciences, as well as recent experimental and theoretical discoveries in quantum photosynthesis are described.

Classical and quantum conditioning : mathematical and information theoretical aspects / L. Accardi -- Dynamics and potentials / F. Araki -- Kossakowski-Ohya teleportation scheme and its applications / M. Asano, M. Ohya and Y. Tanaka -- Utility and value of information in cognitive science, biology and quantum theory / R.V. Belavkin -- Spectral properties of entanglement witnesses and positive maps / D. Chruściński -- Quantum entanglement and multipartite symmetric states / D. Chruściński -- On a quantum model of brain activities / K.-H. Fichtner [und weitere] -- Some of the recent topics in white noise theory / T. Hida -- Note on generalized white noise functionals / T. Hida -- On estimation of the position distribution of the ideal Bose gas / K.-H. Fichtner, K. Inoue and M. Ohya -- On generalization of quantum mutual entropy by using liftings / S. Iriyama and M. Ohya -- A new approach to stroboscopic tomography of open systems / A. Jamiolkowski -- An introduction to frames and their applications to quantum optics / A. Jamiolkowski -- Memory in a nonlocally damped oscillator / D. Chruściński and J. Jurkowski -- An introduction to quantization of dissipative systems. The damped harmonic oscillator case / J. Jurkowski -- Classical and quantum probability for biologists - introduction / A. Khrennikov -- 2-adic degeneration of the genetic code and energy of binding of codons / A. Yu. Khrennikov and S.V. Kozyrev -- On positive maps; PPT states and entanglement / W.A. Majewski -- Detecting entanglement in spin lattice models / M. Michalski -- How to detect entanglement in quantum systems / M. Michalskii -- Tunneling study on high-T[symbol] superconductors / M. Minematsu, S. Kawashima and N. Miyakawa -- Quantum dynamics of superconducting qubit readout with a driven nonlinear Josephson oscillator / H. Nakano -- Roles of asymptotic condition and S-matrix as micro-macro duality in QFT / I. Ojima -- Gaussian Markov triplets / D. Petz and J. Pitrik -- pre-mRNA introns as a model for cryptographic algorithm : theory and experiments / M. Regoli -- Duality arising from multiple Markov Gaussian processes / Si Si and W.W. Htay -- Novel computational approaches to drug discovery / J. Skolnick and M. Brylinski -- Feynman type formulae for quantum evolution and diffusion on manifolds and graphs / O.G. Smolyanov -- Poisson noise and the dynamics of infinite particle systems / L. Streit -- Replica-exchange molecular dynamics simulations of Amyloid precursor protein dimer in membrane / N. Miyashita and Y. Sugita -- Comparison of square contingency tables using measure of departure from marginal homogeneity / K. Tahata [und weitere] -- On the statics for micro-array data analysis / T. Urushibara [und weitere] -- Functional mechanics and time irreversibility problem / I.V. Volovich -- Regulatory networks : inferring functional relationships through co-expression / D. Wanke [und weitere] -- On entropies of quantum dynamical systems / N. Watanabe -- Significant improvement of sequence alignment can be done by considering transition probability between two consecutive pairs of residues / T. Ham, K. Sato and M. Ohya -- A computational approach to explore protein translocation through Type III secretion apparatus / T. Rathinavelan and W. Im -- Carbon nanotubes for building blocks of quantum computing devices / K. Ishibashi [und weitere] -- In silico analysis for the study of botulinum toxin structure / T. Suzuki and S. Miyazaki -- Gene discovery methods from large-scale gene expression data / A. Shimizu and K. Yano

This volume seeks to return to the starting point of bio-informatics and quantum information, where these fields are constantly engaged in explosive advancements, and to seriously attempt mutual interaction between the two fields, with a view to enumerating and solving the many encountered fundamental problems. For such a purpose, we look for interdisciplinary bridges in mathematics, physics, information and life sciences, in particular, the research for a new paradigm for information science and life science on the basis of quantum theory.

The book analyzes the combination of intelligent data analytics with the intricacies of biological data that has become a crucial factor for innovation and growth in the fast-changing field of bioinformatics and biomedical systems. Intelligent Data Analytics for Bioinformatics and Biomedical Systems delves into the transformative nature of data analytics for bioinformatics and biomedical research. It offers a thorough examination of advanced techniques, methodologies, and applications that utilize intelligence to improve results in the healthcare sector. With the exponential growth of data in these domains, the book explores how computational intelligence and advanced analytic techniques can be harnessed to extract insights, drive informed decisions, and unlock hidden patterns from vast datasets. From genomic analysis to disease diagnostics and personalized medicine, the book aims to showcase intelligent approaches that enable researchers, clinicians, and data scientists to unravel complex biological processes and make significant strides in understanding human health and diseases. This book is divided into three sections, each focusing on computational intelligence and data sets in biomedical systems. The first section discusses the fundamental concepts of computational intelligence and big data in the context of bioinformatics. This section emphasizes data mining, pattern recognition, and knowledge discovery for bioinformatics applications. The second part talks about computational intelligence and big data in biomedical systems. Based on how these advanced techniques are utilized in the system, this section discusses how personalized medicine and precision healthcare enable treatment based on individual data and genetic profiles. The last section investigates the challenges and future directions of computational intelligence and big data in bioinformatics and biomedical systems. This section concludes with discussions on the potential impact of computational intelligence on addressing global healthcare challenges. Audience Intelligent Data Analytics for Bioinformatics and Biomedical Systems is primarily targeted to professionals and researchers in bioinformatics, genetics, molecular biology, biomedical engineering, and healthcare. The book will also suit academicians, students, and professionals working in pharmaceuticals and interpreting biomedical data.

Diamond nitrogen vacancy (NV) color centers can transform quantum information science into practical quantum information technology, including fast, safe computing. Quantum Information Processing with Diamond looks at the principles of quantum information science, diamond materials, and their applications. Part one provides an introduction to quantum information processing using diamond, as well as its principles and fabrication techniques. Part two outlines experimental demonstrations of quantum information processing using diamond, and the emerging applications of diamond for quantum information science. It contains chapters on quantum key distribution, quantum microscopy, the hybridization of quantum systems, and building quantum optical devices. Part three outlines promising directions and future trends in diamond technologies for quantum information processing and sensing. Quantum Information Processing with Diamond is a key reference for R&D managers in industrial sectors such as conventional electronics, communication engineering, computer science, biotechnology, quantum optics, quantum mechanics, quantum computing, quantum cryptology, and nanotechnology, as well as academics in physics, chemistry, biology, and engineering. - Brings together the topics of diamond and quantum information processing - Looks at applications such as quantum computing, neural circuits, and in vivo monitoring of processes at the molecular scale