Building Quantum Software in Python: A Complete Developer's Guide to Quantum Programming and Applications is a comprehensive resource designed for software developers ready to enter the quantum computing era. This developer-centric guide bridges the gap between quantum theory and practical implementation, teaching you to build production-ready quantum applications using Python's powerful quantum computing frameworks.
Starting with quantum fundamentals explained through familiar programming concepts, the book progresses through advanced algorithms, quantum machine learning, and error correction techniques. You'll master essential quantum algorithms including Grover's search, quantum Fourier transforms, and variational quantum eigensolvers, while learning to implement them on both simulators and real quantum hardware.
The book emphasizes practical software engineering skills for quantum development, covering testing strategies, performance optimization, deployment patterns, and integration with classical systems. Each chapter includes hands-on Python implementations using Qiskit, Cirq, and PennyLane, with real-world applications in optimization, chemistry simulation, and machine learning.
Whether you're a Python developer curious about quantum computing or a quantum researcher seeking practical implementation skills, this guide provides the complete toolkit for building scalable quantum software. All code examples are designed to run on current quantum hardware platforms, ensuring immediate practical applicability in your quantum development journey.
Building Quantum Software in Python: A Complete Developer's Guide to Quantum Programming and Applications is a comprehensive resource designed for software developers ready to enter the quantum computing era. This developer-centric guide bridges the gap between quantum theory and practical implementation, teaching you to build production-ready quantum applications using Python's powerful quantum computing frameworks.
Starting with quantum fundamentals explained through familiar programming concepts, the book progresses through advanced algorithms, quantum machine learning, and error correction techniques. You'll master essential quantum algorithms including Grover's search, quantum Fourier transforms, and variational quantum eigensolvers, while learning to implement them on both simulators and real quantum hardware.
The book emphasizes practical software engineering skills for quantum development, covering testing strategies, performance optimization, deployment patterns, and integration with classical systems. Each chapter includes hands-on Python implementations using Qiskit, Cirq, and PennyLane, with real-world applications in optimization, chemistry simulation, and machine learning.
Whether you're a Python developer curious about quantum computing or a quantum researcher seeking practical implementation skills, this guide provides the complete toolkit for building scalable quantum software. All code examples are designed to run on current quantum hardware platforms, ensuring immediate practical applicability in your quantum development journey.
Building Quantum Software in Python: A Complete Developer's Guide to Quantum Programming and Applications
Building Quantum Software in Python: A Complete Developer's Guide to Quantum Programming and Applications
Product Details
| BN ID: | 2940180836120 |
|---|---|
| Publisher: | Aarav Joshi |
| Publication date: | 05/25/2025 |
| Sold by: | Draft2Digital |
| Format: | eBook |
| File size: | 878 KB |