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

According to Quantum Computing for the Brain, the brain is the ultimate use case for quantum computing. No other system is as complex, as multidimensional in time and space, as dynamic, as less well-understood, as of peak interest, and as in need of three-dimensional modeling as it functions in real-life, as the brain.Quantum computing has emerged as a platform suited to contemporary data processing needs, surpassing classical computing and supercomputing. This book demonstrates how the enhanced ability of quantum computing to perform more intricate permutations of problems and model classical data with quantum states can be used in neuroscience applications like synaptic integration and brain communication. Graph-theoretic models, quantum optical machine learning, neuromorphic architectures, spiking neural networks, quantum teleportation, wavelet transforms, Rydberg atom arrays, ion traps, boson sampling, tensor networks, Born machines, quantum kernel learning, quantum machine learning, and quantum walks are among the cutting-edge techniques covered.A thorough one-stop resource for a deeper comprehension of the merging fields of fundamental physics, information theory, and neuroscience research in relation to quantum computing is Quantum Computing for the Brain.