Qiskit Pocket Guide: Quantum Development with Qiskit

The quantum computing market is predicted to grow by nearly $1.3 billion over the next five years, as quantum computers are expected to solve difficult problems in chemistry, optimization, finance, and machine learning that classical computers find impossible to unravel. This pocket guide provides software developers with a quick reference to Qiskit, an open-source SDK for working with quantum computers, with helpful programming examples, tables, figures, and lists.

Format: Paperback / softback
Length: 300 pages
Publication date: 24 June 2022
Publisher: O'Reilly Media

The quantum computing market is projected to experience a substantial growth of nearly $1.3 billion over the next five years. This remarkable expansion is driven by the unique capabilities of quantum computers, which harness the principles of quantum mechanics to solve complex problems that traditional computers cannot.

In the field of chemistry, quantum computers have the potential to revolutionize drug discovery and development by efficiently simulating the behavior of molecules and predicting their interactions. They can also accelerate the simulation of complex chemical reactions, leading to faster and more accurate predictions of product outcomes.

In optimization, quantum computers can tackle challenging problems that involve large search spaces and complex constraints. They can optimize complex systems, such as logistics networks, supply chains, and energy distribution, by exploring millions of possible solutions in parallel. This can lead to significant cost savings and improved efficiency.

In finance, quantum computers can help analyze large datasets and perform complex financial calculations faster and more accurately. They can also help detect fraud and other financial crimes by analyzing patterns in financial data that are difficult for classical computers to detect.

In machine learning, quantum computers can enhance the training of neural networks and improve their accuracy by solving optimization problems more efficiently. They can also help analyze complex data sets and make predictions based on patterns that are difficult for classical computers to identify.

To facilitate the development of quantum programs, the open-source software development kit (SDK) Qiskit has been developed. Qiskit provides a comprehensive set of tools and libraries for working with quantum computers, including quantum circuit simulators, quantum gate libraries, and transpilers.

This pocket guide offers software developers a quick reference to Qiskit, providing helpful programming examples, tables, figures, and lists. It helps developers understand how to choose and apply appropriate Qiskit classes, methods, and functions for developing and debugging quantum programs. Whether they are focused on business, engineering, or scientific applications, developers will learn how to create quantum circuits, define quantum gates, and leverage the transpiler to explore modules for implementing quantum information concepts and quantum algorithms.

The guide also surveys the features of Qiskit that abstract and facilitate working with various quantum computers and simulators. It covers topics such as quantum circuit compilation, quantum circuit optimization, and quantum circuit measurement. Developers will also learn how to use the latest version of the Open Quantum Assembly Language (OQAL), which is a high-level programming language for quantum computers.

In conclusion, the quantum computing market is poised for significant growth due to the unique capabilities of quantum computers. By harnessing the principles of quantum mechanics, these machines can solve complex problems that traditional computers cannot, leading to breakthroughs in chemistry, optimization, finance, and machine learning. Qiskit, an open-source SDK, provides software developers with the tools and resources they need to develop and debug quantum programs. With this pocket guide as a reference, developers can leverage the power

power of quantum computing to unlock new opportunities and drive innovation in their fields.

Weight: 180g
Dimension: 106 x 179 x 14 (mm)
ISBN-13: 9781098112479