Quantum Bio Informatics From Quantum Information To Bio Informatics


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Quantum Biological Information Theory


Quantum Biological Information Theory

Author: Ivan B. Djordjevic

language: en

Publisher: Springer

Release Date: 2015-10-05


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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.

Quantum Biocomputing in Quantum Biology Volume I


Quantum Biocomputing in Quantum Biology Volume I

Author: Hafiz Md. Hasan Babu

language: en

Publisher: Springer Nature

Release Date: 2025-07-01


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The book starts with the basics of Quantum Computing, Biocomputing, Quantum Biology, Quantum-DNA Computing, and DNA-Quantum Computing. It also discusses the fundamental operations in quantum computing and Biocomputing. Different types of quantum arithmetic circuits, quantum-DNA arithmetic circuits and DNA-quantum arithmetic circuits such as basic and universal gate operations, half-adder, full-adder, half subtractor, full subtractor, N-qubit adders, multipliers, dividers, etc., are explained clearly. Nuclear Magnetic Resonance (NMR), NMR relaxation, quantum cache memory, heat conduction circuit, and trap ion are also discussed. The readers can get a clear idea about different types of quantum, quantum-DNA and DNA-quantum circuits such as arithmetic, combinational, sequential, memory devices, programmable logic devices, nano-processors and will be able to design their own circuits. Then, it discusses Heat Measurement, Speed Calculation, Heat Transfer, Data Conversion, and Data Management in Quantum Computing and Quantum Biocomputing (Quantum-DNA Computing and DNA-Quantum Computing). As a whole, this book is a great resource for quantum, quantum-DNA and DNA-Quantum Computing, it is the book where computing in quantum biology is introduced for the quantum biology researchers, students, and academicians. This is a novel approach to writing a book in this field. This book quenches the thirst of beginners to advanced-level readers.

Gnomics


Gnomics

Author: Ronald Legarski

language: en

Publisher: SolveForce

Release Date: 2025-03-02


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Gnomics is a revolutionary approach to structuring and understanding knowledge, integrating the principles of "Gnosis" (knowledge) and "-nomics" (system) into a recursive, self-organizing framework. Unlike traditional concepts of gnosis, which often imply esoteric or mystical knowledge, Gnomics establishes a systematic model that spans the entire spectrum of human and machine intelligence—from basic perception to advanced cognitive and computational systems. This groundbreaking framework extends across multiple domains, integrating language, physics, cognition, artificial intelligence, and quantum intelligence. By recognizing language as the absolute foundation of truth, Gnomics asserts that all knowledge emerges through structured processes of acquisition, categorization, and perception. Through this universal model, Gnomics redefines how information is synthesized, creating a harmonized system that evolves recursively to expand human understanding and machine intelligence alike.