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Quantum Computing for Engineers

  • 2026
  • Book
Authors
Osama M. Raisuddin
Suvranu De
Publisher
Springer Nature Switzerland
Part of
Springer Professional "Business + Economics & Engineering + Technology"
Springer Professional "Engineering + Technology"
Springer Professional "Business + Economics"

About this book

This book is a practical guide for students and engineers eager to dive into the rapidly emerging field of quantum computing and harness its transformative power to tackle complex engineering and scientific challenges. It offers a clear and detailed analysis of cutting-edge quantum algorithms for problems of real-world importance—such as linear systems and differential equations—and demonstrates the remarkable speedups and capabilities unlocked by quantum computers.

Readers will gain a solid grasp of how quantum algorithms work under the hood and will be well-equipped to navigate the exciting paradigm shift in scientific and engineering computation driven by the quantum revolution—whether through designing new quantum algorithms for targeted applications or by developing a broad understanding of the emerging quantum landscape. The book includes hands-on example code and problem sets to bridge theory and practice.

Table of Contents

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  1. Quantum Algorithms

    1. Frontmatter

    2. Chapter 27. Expectation Value Estimation

      Osama M. Raisuddin, Suvranu De
      Abstract
      This chapter presents a variety of quantum techniques for extracting physical observables and statistical quantities from quantum states, i.e., expectation value estimation, providing the foundation for scientific and engineering applications of quantum algorithms. Three major procedures are derived, and their resource requirements and sampling complexities are compared. Example codes are provided for measuring expectation values either by diagonalizing Pauli strings or using the Hadamard test.

    3. Chapter 28. Hamiltonian Simulation Techniques

      Osama M. Raisuddin, Suvranu De
      Abstract
      This chapter introduces Hamiltonian simulation, the central challenge of simulating quantum time evolution. Several quantum approaches are reviewed, including product formulas, Taylor series methods, and quantum signal processing. Hamiltonian simulation underpins the approximation of the dynamics of quantum systems relevant to chemistry, materials, and physics

    4. Chapter 29. Eigenvalue Problems

      Osama M. Raisuddin, Suvranu De
      Abstract
      This chapter surveys quantum algorithms for computing eigenvalues and eigenvectors of matrices. The classical-quantum hybrid Krylov subspace diagonalization method is introduced with improved variants.

    5. Chapter 30. Quantum Linear System Algorithms: Direct Methods

      Osama M. Raisuddin, Suvranu De
      Abstract
      This chapter defines the quantum linear system problem and reviews direct quantum algorithms for solving linear systems of equations, such as the Harrow–Hassidim–Lloyd (HHL) algorithm, and discusses conditions for efficient implementation. The asymptotic complexity of various direct quantum linear system solvers is presented, and example code is provided to solve the quantum linear system problem using the quantum singular value transform.

    6. Chapter 31. Quantum Linear System Algorithms: Iterative Methods

      Osama M. Raisuddin, Suvranu De
      Abstract
      This chapter defines the iterative quantum linear system problem and presents iterative quantum algorithms designed for large or structured linear systems, exploring their potential for exponential speedup and discussing issues such as preconditioning. As iterative quantum linear system solvers are a relatively new topic of research, open avenues are discussed toward the end of the chapter. An example code implementation is provided to perform linear stationary iterations for Poisson’s problem in two dimensions.

    7. Chapter 32. Quantum Ordinary Differential Equation Algorithms: Block-Matrix Algorithms

      Osama M. Raisuddin, Suvranu De
      Abstract
      This chapter describes methods for mapping systems of ordinary differential equations (ODEs) to block-linear systems solvable by quantum algorithms, addressing both homogeneous and inhomogeneous problems. Asymptotic complexity results are presented and recent progress is reviewed.

    8. Chapter 33. Quantum Ordinary Differential Equation Algorithms: Time-Marching Algorithms

      Osama M. Raisuddin, Suvranu De
      Abstract
      This chapter introduces quantum algorithms that simulate the time evolution of ordinary differential equations (ODE) using time-marching schemes. The discovery of time-marching methods is recent; as such there is great potential for extending the domain of application for these techniques and improve their asymptotic complexity.

    9. Chapter 34. Quantum Partial Differential Equation Algorithms

      Osama M. Raisuddin, Suvranu De
      Abstract
      This chapter explores quantum algorithms for partial differential equations (PDEs), focusing on strategies for discretization, reduction to ODE systems, and direct quantum solution techniques for high-dimensional problems in engineering and the sciences. Methods like Schrodingerization and lifting operations are presented.

    10. Chapter 35. Variational Algorithms: Theory

      Osama M. Raisuddin, Suvranu De

    11. Chapter 36. Notable Variational Algorithms: VQE, QAOA, and VQLS

      Osama M. Raisuddin, Suvranu De

  2. Applications, Future Directions, and Open Problems

    1. Frontmatter

    2. Chapter 37. Applications in Engineering and Scientific Computing

      Osama M. Raisuddin, Suvranu De

    3. Chapter 38. Quantum Machine Learning

      Osama M. Raisuddin, Suvranu De

    4. Chapter 39. Applications in Finance

      Osama M. Raisuddin, Suvranu De
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Title
Quantum Computing for Engineers
Authors
Osama M. Raisuddin
Suvranu De
Copyright Year
2026
Electronic ISBN
978-3-032-03325-3
Print ISBN
978-3-032-03324-6
DOI
https://doi.org/10.1007/978-3-032-03325-3

PDF files of this book have been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.

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