Building Quantum Software in Python: A developer's guide

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PART 1 FOUNDATIONS....11 ■ Advantages and challenges of programming quantum computers....32 ■ A first look at quantum computations: The knapsack problem....193 ■ Single-qubit states and gates....344 ■ Quantum state and circuits: Beyond one qubit....69PART 2 FUNDAMENTAL ALGORITHMS AND PATTERNS....1095 ■ Selecting outcomes with quantum oracles....1116 ■ Quantum search and probability estimation....1337 ■ The quantum Fourier transform....1598 ■ Using the quantum Fourier transform....1869 ■ Quantum phase estimation....218PART 3 QUANTUM SOLUTIONS: OPTIMIZATION AND BEYOND....25110 ■ Encoding functions in quantum states....25311 ■ Search-based quantum optimization....27612 ■ Conclusions and outlook....304
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Quantum computing opens a new realm of possibilities for developers working in complex research and business domains like industrial simulation, predictive modeling, drug discovery, and operations research. Building Quantum Software with Python gives you the foundation you’ll need to build the software for the quantum age.
Building Quantum Software with Python lays out the math and programming techniques you’ll need to apply quantum solutions to real challenges like predictions based on massive data sets and intricate simulations. In Building Quantum Software with Python you will learn about:Quantum search, probability estimation, and quantum countingA practical introduction to quantum algorithmsQuantum states, gates, and circuitsRunning software on simulators and quantum hardwareClassical simulations of quantum computationsQuantum computers are rapidly becoming a realistic alternative for complex research and business problems. You will learn which quantum algorithms and patterns apply to different types of problems and how to build your first quantum applications.
With careful explanations and thoughtful illustrations, it takes you from zero knowledge to creating quantum solutions that run on a simulator or on real quantum hardware. About the bookBuilding Quantum Software with Python builds your understanding of quantum computing by relating it to the classical computing concepts you already know. The book utilizes intuitive visualizations of quantum systems with tables and diagrams developers will find instantly familiar, and code implementations that are easier to understand than complex algebra.
As you go, you’ll explore potential applications of quantum computing, including useful probability distributions for truly random sampling, quantum optimization solutions using the knapsack problem, and quantum solutions for unstructured search. All the simulator code you write can be easily converted to run on IBM Quantum hardware.
About the readerFor developers with basic math and programming skills. No specialist knowledge of quantum computing required.
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автор — Gonciulea Constantin , Stefanski Charlee, издательство Manning Publications Co., год выпуска 2025, 378 страниц.
О чём книга «Building Quantum Software in Python: A developer's guide»?
Quantum computing opens a new realm of possibilities for developers working in complex research and business domains like industrial simulation, predictive modeling, drug discovery, and operations research.