{"product_id":"9781041284017","title":"Quantum Computing for Data Scientists Advanced Algorithms and Machine Learning Techniques","description":"\u003ch1\u003eQuantum Computing for Data Scientists\u003c\/h1\u003e\u003ch2\u003eAdvanced Algorithms and Machine Learning Techniques\u003c\/h2\u003e\u003ch3\u003eRakesh Kumar | Meenu Gupta | Anand Nayyar\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Database Administration \u0026amp; Management\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003eThis book provides a rigorous and application-driven treatment of quantum computation as a disruptive paradigm for high-dimensional, data-intensive, and optimization-centric computing. It bridges quantum information science with modern data science by examining how superposition, entanglement, interference, quantum measurement, unitary transformations, and Hilbert-space representations can be exploited to design advanced algorithms for machine learning, artificial intelligence, simulation, cryptography, and large-scale analytics. Covering foundational principles through emerging research directions, the volume explores quantum algorithms for data analysis, quantum machine learning frameworks, variational quantum circuits, quantum neural networks, quantum support vector machines, quantum kernel methods, hybrid quantum–classical architectures, and decision-theoretic quantum feature engineering. It further addresses quantum optimization for NP-hard and combinatorial problems, quantum approaches to complex system simulation, industrial applications across healthcare, logistics, finance, energy, and cybersecurity, as well as quantum data structures and database systems for next-generation information processing.\u003c\/p\u003e\n\u003cp\u003eA distinctive strength of the book is its integration of theoretical formalism with practical data science perspectives. It discusses the promises and constraints of Noisy Intermediate-Scale Quantum devices, including decoherence, circuit depth, trainability, barren plateaus, data encoding bottlenecks, and scalability limitations. The book also evaluates quantum cryptography and post-quantum security in financial data processing, while addressing future trends, governance, and ethical considerations in quantum-enabled artificial intelligence. Designed for researchers, data scientists, engineers, academicians, and advanced students, this book serves as a comprehensive technical roadmap for understanding how quantum computation can transform feature representation, accelerate learning pipelines, enhance optimization, secure digital infrastructures, and redefine computational intelligence in the era of exponentially growing data ecosystems.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eRakesh Kumar\u003c\/b\u003e is an Associate Director at the UIE-CSE Department, Chandigarh University, Punjab, India. He is pursuing his Post Doc Fellowship from MIR Lab, Auburn, Washington, USA. He obtained a PhD in Computer Science and Engineering from Punjab Technical University, Jalandhar, in 2017. He has more than 22 years of teaching experience. His research interests are IoT, Machine Learning, and Natural Language Processing. He has edited over 12 books with reputed publishers, and has authored five books. He works as a reviewer for several journals, including Big Data, CMC, Scientific Reports, TSP, Multimedia Tools and Applications, IEEE Access, etc. He is a Senior Member of IEEE. He has authored or co-authored more than 200 publications in various national\/ international conferences and journals. He is also an organiser and editor of many international conferences under the aegis of IEEE and AIP.He is also the Founder Chair of the IEEE Robotics and Automation Society (RAS) Chapter Delhi Section.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eMeenu Gupta\u003c\/b\u003e is a Professor and Head Conferences \u0026amp; Research Outreach at the UIE-CSE Department, Chandigarh University, India. She is pursuing her Post Doc Fellowship from the MIR Lab, Auburn, Washington, USA. She has completed her PhD in Computer Science and Engineering from Ansal University, Gurgaon, India in 2020. She has more than 17 years of teaching experience. Her research areas cover Machine Learning, Intelligent Systems, and Data mining, with a specific interest in Artificial Intelligence, Image Processing and Analysis, Smart Cities, Data Analysis, and Human\/Brain-Machine Interaction (BMI). She has edited more than 22 books and authored four engineering books. She reviews several journals, including Big Data, Artificial Intelligence Review, CMC, Scientific Reports, and Digital Health. She is a life member of ISTE and IAENG. She is also a Senior member of IEEE and an EXECOM Member of the IEEE Delhi Section. She has authored or co-authored more than 45 book chapters and over 250 papers in refereed international journals and conferences. She also organised many conferences, technically sponsored by the IEEE Delhi Section, IEEE CIS, AIP, etc.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eAnand Nayyar\u003c\/b\u003e is with the School of Computer Science and Artificial Intelligence (SCA), Duy Tan University, Da Nang, Vietnam as Professor, Scientist, Vice-Chairman (Research) and Director of IoT and Intelligent Systems Laboratory. He has published more than 200+ research papers in various ISI-SCI\/SCIE\/SSCI journals. He is listed in Top 2% Scientists and Leading Scientist in Computer Science from Research.com. He has authored\/co-authored cum Edited 81 Books of Computer Science. Associated with more than 600+ International Conferences as Programme Committee\/Chair\/Advisory Board\/Review Board member. He has completed 1 Grassroot and 1 ASEAN Project. Awarded 58 Awards for Teaching and Research. He is acting as Associate Editor for Computer Communications (Elsevier), International Journal of Sensor Networks (IJSNET) (Inderscience), Tech Science Press- IASC, Human Centric Computing and Information Sciences (HCIS), IEEE Transactions on Artificial Intelligence (IEEE TAI), Indonesian Journal of Electrical Engineering and Computer Science, IJISP, IJDST, IJCINI, IJGC, IJSIR, IJBDCN, IJSI, IJIES, IJKSS.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e11 February 2027\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eCRC Press\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eCRC Press\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781041284017\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e394\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"CRC Press","offers":[{"title":"Default Title","offer_id":63773138583692,"sku":"9781041284017","price":126.89,"currency_code":"USD","in_stock":true}],"url":"https:\/\/lateknightbooks.com\/products\/9781041284017","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}