Quantum Computing Solutions

Know how to use quantum computing solutions involving artificial intelligence (AI) algorithms and applications across different disciplines.

Quantum solutions involve building quantum algorithms that improve computational tasks within quantum computing, AI, data science, and machine learning. As opposed to quantum computer innovation, quantum solutions offer automation, cost reduction, and other efficiencies to the problems they tackle.

Starting with the basics, this book covers subsystems and properties as well as the information processing network before covering quantum simulators. Solutions such as the Traveling Salesman Problem, quantum cryptography, scheduling, and cybersecurity are discussed in step-by-step detail.

What You Will Learn

• Understand the mathematics behind quantum computing
• Know the solution benefits, such as automation, cost reduction, and efficiencies
• Be familiar with the quantum subsystems and properties, including states, protocols, operations, and transformations
• Be aware of the quantum classification algorithms: classifiers, and support and sparse support vector machines
• Use AI algorithms, including probability, walks, search, deep learning, and parallelism

Who This Book Is For

Developers in Python and other languages interested inquantum solutions. The secondary audience includes IT professionals and academia in mathematics and physics. A tertiary audience is those in industry verticals such as manufacturing, banking, and pharma.