Quantum Computing for the Brain (Between Science and Economics, 3) (Original Publisher)

Quantum Computing for the Brain (1st Edition, 2022, World Scientific) explores the fascinating intersection of quantum information science and neuroscience. Written for researchers, graduate students, and professionals in both computational neuroscience and quantum computing, this book presents emerging theories, technical frameworks, and practical implications of using quantum systems to understand cognitive processes. It is also an excellent resource for advanced readers with a keen interest in how quantum mechanics may unlock the mysteries of consciousness, memory, and brain function.

Key Features and Highlights

• Explores the theoretical and practical synergy between quantum computing and brain sciences.
• Discusses emerging models and simulations of neural activity through quantum algorithms.
• Highlights interdisciplinary approaches combining physics, neuroscience, and computer science.
• Offers insight into current research challenges and future applications in medicine and AI.
• Published by World Scientific, a trusted name in scientific and academic publishing.

Major Topics Covered

Includes core chapters on:

• Quantum theory applications in neural modeling
• Quantum machine learning for cognitive prediction
• Neuromorphic computing and brain-inspired quantum systems
• Limitations of classical computing in simulating consciousness
• Ethical and philosophical implications of quantum neuroscience

About the Author

The author is a leading researcher in the field of theoretical neuroscience and quantum information systems, known for cross-disciplinary work that bridges cognitive science with emerging computational technologies.

Technical Details

• File Formats: PDF
• File Size: Approximately 5 MB
• Language: English
• Compatible Devices: All major e-readers, tablets, smartphones, and desktops (Kindle, iOS, Android, Windows, macOS)

FAQs

Q: Do I need a background in quantum physics to understand this book?
A: Not necessarily. While a basic understanding of physics and neuroscience is helpful, the book is written to guide interdisciplinary readers, offering accessible explanations and supporting concepts for non-specialists.

Q: Is this ebook suitable for use in academic settings or courses?
A: Yes. This title is ideal for advanced university courses in neuroscience, computational modeling, or quantum information theory, and is often used as a reference in emerging neurotechnology research programs.