Quantum Computing for Software Engineers
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Quantum Computing for Software Engineers

About the Book

Quantum computing has always seemed a bit like science fiction.

On one hand, there are numerous publications by skeptics—from the general public, journalists, and esteemed scientists—explaining in seemingly indisputable detail why quantum computing is at best unachievable in any foreseeable future, or at worst fundamentally impossible.

On the other hand, there are dozens of companies of all sizes, from industry behemoths like IBM and Google to smaller startups focusing on one or several niche areas: algorithms, control electronics, calibration, software development frameworks, etc. The industry is experiencing quite a wave of interest, and naturally there is a lot of hype. Some companies make such bold claims that one can understand the skeptics' views, especially when those claims are not demonstrated.

This book is aimed at software engineers who would like to learn more about the realities of the industry, and consider joining it.

About the Author

Rakhim Davletkaliyev
Rakhim Davletkaliyev

Staff Software Engineer at IQM Quantum Computers. Programming professionally since 2006. Building https://minifeed.net and https://exotext.com.

Homepage: https://rakhim.org

Table of Contents

    • Preface
    • Chapter 1. Groundwork
      • Quantum physics 101
      • Qubits and quantum gates
      • Crafting a qubit with superconductivity
      • Other modalities
    • Chapter 2. Levels of Abstraction of a Superconducting Quantum Computer
      • Abstract circuit
      • Transpilation, routing, and optimization
      • Compilation to pulse representation
      • Compilation to instrument instructions
      • Stranger gates
    • Chapter 3. Calibration
    • Chapter 5. Pulse-level control
    • Chapter 5. Software ecosystems
      • SDKs and formats (Qiskit, Cirq, CUDA, QASM, QIR, etc.)
    • Chapter 6. Hybrid computation
      • What is quantum-classical hybrid computation
      • MLIR
      • CPU vs GPU vs FPGA approach
      • HPC integration as an example of the challenge
    • Chapter 7. The challenges
      • Real-time or near real-time control
      • Simulation vs. real hardware
      • Error rates
      • Scaling
      • Noise and decoherence
      • NISQ and QEC
      • Where to apply yourself

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