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Quantum computing has the potential to revolutionize the computing paradigm. By integrating quantum algorithms with artificial intelligence and machine learning, we can harness the power of qubits to deliver comprehensive and optimized solutions for intricate financial problems. This book offers step-by-step guidance on using various quantum algorithm frameworks within a Python environment, enabling you to tackle business challenges in finance. With the use of contrasting solutions from well-known Python libraries with quantum algorithms, you’ll discover the advantages of the quantum approach.…mehr

Produktbeschreibung
Quantum computing has the potential to revolutionize the computing paradigm. By integrating quantum algorithms with artificial intelligence and machine learning, we can harness the power of qubits to deliver comprehensive and optimized solutions for intricate financial problems.
This book offers step-by-step guidance on using various quantum algorithm frameworks within a Python environment, enabling you to tackle business challenges in finance. With the use of contrasting solutions from well-known Python libraries with quantum algorithms, you’ll discover the advantages of the quantum approach. Focusing on clarity, the authors expertly present complex quantum algorithms in a straightforward, yet comprehensive way. Throughout the book, you'll become adept at working with simple programs illustrating quantum computing principles. Gradually, you'll progress to more sophisticated programs and algorithms that harness the full power of quantum computing.
By the end of this book, you’ll be able to design, implement and run your own quantum computing programs to turbocharge your financial modelling.

Autorenporträt
Professor Anshul Saxena is a quantum finance instructor at Christ University. His current research focus is abouton discovering the role of quantum computing in solving complex financial problems. He has filed three Indian patents and holds an international patent. He has authored a popular book on HR Analytics and has developed an automated Ppython library "Cognito" for data preprocessing. He has over a decade of work experience spreading across IT and financial services companies like TCS and Northern Trust in various business analytics and decision sciences roles. He has worked as a consultant and trainer with IBM ICE group and has trained more than 500 faculties pan India. Mr. Saxena has also worked as a Corporate Trainer and has conducted training on data science for more than 600 IT employees. He is a SAS certified predictive modeler and has recently completed a certificate in "Quantum computing for managers" for BIMTECH. He holds an MBA degree in Finance from IBS Bangalore and is pursuing his Ph.D. in Financial Risk Analytics