{"product_id":"quantum-ai-anshuman-mishra-9798271683459","title":"Quantum AI: Bridging Physics and Intelligence","description":"\u003cb\u003e\u003cb\u003eIntroduction: A New Frontier Between Physics and Mind\u003c\/b\u003e\u003c\/b\u003e\u003cbr\u003eIn the 20th century, humanity witnessed two revolutions that reshaped our understanding of the universe: the \u003cb\u003equantum revolution\u003c\/b\u003e and the \u003cb\u003edigital revolution\u003c\/b\u003e. Quantum mechanics shattered the deterministic picture of reality, revealing a cosmos woven from probabilities, uncertainties, and nonlocal correlations. Artificial intelligence, on the other hand, redefined intelligence itself-showing that learning and decision-making could be modeled, simulated, and eventually enhanced by machines.\u003cbr\u003eBut today, as both revolutions reach their limits, a profound question arises: \u003cb\u003eCan intelligence itself be quantum?\u003c\/b\u003e\u003cbr\u003eWhat if the next leap in AI does not come from more data or bigger neural networks-but from the very fabric of quantum physics?\u003cbr\u003e\u003cb\u003e\"Quantum AI: Bridging Physics and Intelligence\"\u003c\/b\u003e explores this question in depth. It offers a bold, interdisciplinary journey across the landscapes of \u003cb\u003equantum mechanics\u003c\/b\u003e, \u003cb\u003eartificial intelligence\u003c\/b\u003e, and \u003cb\u003ephilosophy of mind\u003c\/b\u003e-revealing how the strange principles that govern atoms and waves might also govern cognition, learning, and consciousness.\u003cbr\u003eThis book is not merely about technology-it's about \u003cb\u003ea new way of understanding thought, knowledge, and existence itself.\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e\u003cb\u003e\u003cb\u003ePart I - From Classical Logic to Quantum Thought\u003c\/b\u003e\u003c\/b\u003e\u003cbr\u003eAt its core, artificial intelligence has always been a reflection of our best understanding of the mind. Early AI systems were built upon \u003cb\u003esymbolic logic\u003c\/b\u003e, representing the brain as a machine that manipulates rules and symbols. Later, with the advent of \u003cb\u003eneural networks\u003c\/b\u003e, AI began to mirror the distributed and emergent nature of human cognition. Yet, classical computers remain bounded by classical physics-by binary states of 0s and 1s, by deterministic algorithms, and by limited computational capacity.\u003cbr\u003eQuantum theory offers a radical departure from this paradigm.\u003cbr\u003eInstead of fixed states, it gives us \u003cb\u003esuperpositions\u003c\/b\u003e-systems that can exist in multiple configurations at once. Instead of isolated components, it gives us \u003cb\u003eentanglement\u003c\/b\u003e, where parts of a system remain correlated even across vast distances. And instead of certainty, it gives us \u003cb\u003eprobabilistic knowledge\u003c\/b\u003e-a universe that computes through waves of possibility.\u003cbr\u003eIn this new paradigm, \u003cb\u003eintelligence is not deterministic-but probabilistic, contextual, and emergent.\u003c\/b\u003e\u003cbr\u003eThis first part of the book introduces readers to the foundations of both disciplines, tracing their historical evolution and showing how AI's limitations may be overcome through the principles of quantum information theory.\u003cbr\u003eStudents will gain a conceptual grounding in \u003cb\u003esuperposition, decoherence, and measurement theory\u003c\/b\u003e, while understanding how these physical processes map onto the \u003cb\u003emathematical logic of learning, prediction, and adaptation.\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e\u003cb\u003e\u003cb\u003ePart II - Quantum Machine Learning and Neural Architectures\u003c\/b\u003e\u003c\/b\u003e\u003cbr\u003eAs computing power approaches the physical limits of classical transistors, researchers are turning toward \u003cb\u003equantum computation\u003c\/b\u003e as the next technological revolution. But quantum computing is not simply \"faster computing\"-it's a fundamentally new \u003cb\u003eway of processing information\u003c\/b\u003e.\u003cbr\u003eIn this section, the book explores how \u003cb\u003equantum machine learning (QML)\u003c\/b\u003e transforms the architecture of intelligence. Readers are introduced to concepts such as: \u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eQuantum Data Encoding: \u003c\/b\u003e representing classical data in quantum states.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eQuantum Neural Networks (QNNs): \u003c\/b\u003e models that leverage superposition and entanglement to learn more efficiently.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eQuantum Backpropagation: \u003c\/b\u003e adapting gradient descent to the probabilistic geometry of Hilbert space.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHybrid Systems: \u003c\/b\u003e where classical and quantum processors co-operate to optimize learning tasks.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Anshuman Mishra\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798271683459\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 10\/26\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 360\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.84lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 11.00h x 8.50w x 0.75d","brand":"Anshuman Mishra","offers":[{"title":"Paperback","offer_id":48852729397503,"sku":"9798271683459","price":20.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/quantum-ai-anshuman-mishra-9798271683459","provider":"WR Book House","version":"1.0","type":"link"}