book

Quantum Programming in Depth

Name: Quantum Programming in Depth
Author: Mariia Mykhailova
ISBN: 9781633436909

by Mariia Mykhailova

July 2025

Intermediate to advanced

288 pages

9h 53m

English

Manning Publications

Audiobook available

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copyright
welcome
brief contents
1 Quantum computing: the hype and the promise
1.1 Your second book on quantum computing: The prerequisites1.2 The hype and the promise: What kinds of problems can quantum computing solve?1.3 A peek inside the fridge: How does quantum computing work?1.3.1 Algorithms1.3.2 Hardware1.3.3 Software1.3.4 Quantum application software development workflow1.4 Why learn quantum computing?1.5 Learn by doing: Learning quantum computing through quantum programming with Qiskit and Q#1.6 Further reading1.6.1 Section 1.21.6.2 Section 1.31.7 Summary
2 Prepare quantum states
2.1 Prepare a single-qubit state2.1.1 Math2.1.2 Qiskit2.1.3 Q#2.2 What does your solution do?2.2.1 Qiskit2.2.2 Q#2.3 Prepare a two-qubit state2.3.1 Refresher: controlled gates in Dirac notation2.3.2 Math2.3.3 Qiskit2.3.4 Q#2.4 Test your solution2.4.1 Qiskit2.4.2 Q#2.5 Prepare a multi-qubit state2.5.1 Math2.5.2 Qiskit2.5.3 Q#2.6 Further reading2.7 Going beyond2.8 Summary
3 Implement quantum operations
3.1 Implement a single-qubit gate3.1.1 Math3.1.2 Qiskit3.1.3 Q#3.2 What does your solution do?3.2.1 Qiskit3.2.2 Q#3.3 Test your solution3.3.1 Qiskit3.3.2 Q#3.4 Matrix decomposition3.5 Implement a two-qubit block-diagonal unitary with \(2 \times 2\) blocks3.5.1 Refresher: controlled gates in matrix notation3.5.2 Math3.5.3 Qiskit3.5.4 Q#3.6 Implement a two-qubit CS unitary3.6.1 Math3.6.2 Qiskit3.6.3 Q#3.7 Implement a two-qubit block-antidiagonal unitary with \(2 \times 2\) blocks3.7.1 Math3.7.2 Qiskit3.7.3 Q#3.8 Implement a two-block block-diagonal unitary of arbitrary size3.8.1 Math3.8.2 Qiskit3.8.3 Q#3.9 Implement a CS unitary of arbitrary size3.9.1 Math3.9.2 Qiskit3.9.3 Q#3.10 Implement an arbitrary unitary of arbitrary size3.10.1 Math3.10.2 Qiskit3.11 Further reading3.12 Going beyond3.13 Summary
4 Analyze quantum states
4.1 Read out information from a quantum system4.1.1 Math4.1.2 Qiskit4.1.3 Q#4.2 Distinguish superposition states that consist of distinct basis states4.2.1 Math4.2.2 Qiskit4.2.3 Q#4.3 Distinguish superposition states that consist of overlapping basis states4.3.1 Math4.3.2 Qiskit4.3.3 Q#4.4 Distinguish non-orthogonal states with minimum error4.4.1 Math4.4.2 Qiskit4.4.3 Q#4.5 Reconstruct the state from multiple copies4.5.1 Math4.5.2 Qiskit4.5.3 Q#4.6 Joint/parity measurements: extract partial information from a state4.6.1 Math4.6.2 Qiskit4.6.3 Q#4.7 Further reading4.8 Going beyond4.9 Summary
5 Analyze quantum operations
5.1 Distinguish unitaries5.1.1 Math5.1.2 X or Z?5.1.3 X or H?5.1.4 X or -X?5.1.5 Qiskit5.1.6 Q#5.2 Reconstruct the unitary5.2.1 Math5.2.2 Qiskit5.2.3 Q#5.3 Find eigenvalue that corresponds to the given eigenvector (phase estimation problem)5.3.1 Phase kickback5.3.2 Iterative phase estimation5.3.3 Adaptive phase estimation5.3.4 Quantum Fourier transform5.3.5 Quantum phase estimation5.3.6 Qiskit5.3.7 Q#5.4 Going beyond5.5 Summary
6 Evaluate classical functions on a quantum computer
6.1 Reversible computing: mapping classical computation onto quantum6.2 Evaluate single-bit functions6.2.1 Math6.2.2 First attempt: in-place computation6.2.3 Second attempt: preserve the input as part of the output6.2.4 Third attempt: make the classical function completely reversible6.2.5 Qiskit6.2.6 Q#6.3 Test reversible computations6.3.1 Qiskit6.3.2 Q#6.4 Evaluate Boolean operations6.4.1 Math6.4.2 NOT6.4.3 XOR6.4.4 Equality6.4.5 AND and multi-bit AND6.4.6 OR and multi-bit OR6.4.7 Qiskit6.4.8 Q#6.5 Evaluate Boolean expressions6.5.1 Math6.5.2 Qiskit6.5.3 Q#6.6 Going beyond6.7 Summary
7 Grover’s search algorithm
7.1 Quantum oracles7.1.1 Math7.1.2 Phase oracles7.1.3 Marking oracles7.1.4 Converting one type of oracles into another7.1.5 Qiskit7.1.6 Q#7.2 Grover’s search algorithm7.2.1 Definitions7.2.2 Math7.2.3 Qiskit7.2.4 Q#7.3 Going beyond7.4 Summary

8 Solve N queens puzzle using Grover’s algorithm
8.1 Naive solution8.2 Encode constraints in the search space8.2.1 Math8.2.2 Qiskit8.2.3 Q#8.3 Change problem encoding8.3.1 Math8.3.2 Qiskit8.3.3 Q#8.4 Going beyond8.5 Summary
9 Evaluate performance of quantum algorithms
9.1 Choose the classical solution for comparison9.2 Performance comparisons: asymptotic vs practical9.3 Estimate performance of a quantum solution9.4 Azure Quantum Resource Estimator: an overview9.5 Solutions’ performance for the N queens puzzle9.6 Further reading9.7 Going beyond9.8 Summary
Appendix. Set up your environment
A.1 QiskitA.1.1 Run Qiskit onlineA.1.2 Install Qiskit locallyA.2 Q#A.2.1 Run Q# onlineA.2.2 Install Q# locallyA.3 pytestA.4 Getting the code

Content preview from Quantum Programming in Depth

2 Prepare quantum states

This chapter covers

Using quantum gates to change quantum states
Using Q# and Qiskit to write quantum programs
Running and testing quantum programs using simulators
Watching the state of a quantum program during its execution

Quantum algorithms revolve around manipulating the states of quantum systems. Figure 2.1 shows the flow typical for many quantum algorithms. The algorithm starts with preparing the quantum system in a certain superposition state and then applies a sequence of transformations to it before performing a measurement to extract the results. The goal of the algorithm is to lead the system to a superposition state in which the basis states that are answers to the problem being solved have large ...

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Quantum Programming in Depth

by Mariia Mykhailova