Achieve optimized solutions for real-world financial problems using quantum machine learning algorithms Key Features Learn to solve financial analysis problems by harnessing quantum power Unlock the benefits of quantum machine learning and its potential to solve problems Train QML to solve portfolio optimization and risk analytics problems Book DescriptionQuantum 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.What you will learn Explore framework, model and technique deployed for Quantum Computing Understand the role of QC in financial modeling and simulations Apply Qiskit and Pennylane framework for financial modeling Build and train models using the most well-known NISQ algorithms Explore best practices for writing QML algorithms Use QML algorithms to understand and solve data mining problems Who this book is for This book is for financial practitioners, quantitative analysts, or developers; looking to bring the power of quantum computing to their organizations. This is an essential resource written for finance professionals, who want to harness the power of quantum computers for solving real-world financial problems. A basic understanding of Python, calculus, linear algebra, and quantum computing is a prerequisite.
The Wari State was the first expansionistic power to develop in the Andean highlands. Emerging in the area of modern Ayacucho (Peru) around AD 650, the Wari expanded to control much of the central Andes by the time of their collapse at AD 1000. This book describes the discovery and excavation (2010-2012) of a major new Wari site (Espiritu Pampa), located in the subtropical region of Vilcabamba (Department of Cuzco). While it was long believed that the Wari established trade networks between their highland capital and the Amazonian lowlands, the identification of a large Wari site in the Vilcabamba region came as a surprise to most Wari specialists. This book covers the first three years of excavations at the Wari site of Espiritu Pampa. It describes the identification of a central plaza surrounded by a series of D-shaped structures, that are believed to the loci of special activates for the Wari. It also describes the contents of more than 30 burials, many of which contained finely crafted silver, gold, bronze and ceramic objects.
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