Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Apress eBooks

Quantum Classification Algorithms

Bhagvan Kommadi

Published Jan 1, 2020• 0 citations
Publisher

Abstract

This chapter covers the topic of quantum classification algorithms. You will see how quantum classification algorithms are implemented in real life. Code examples are presented for different algorithms such as quantum classifiers, support vector machines, and sparse support vector machines.
DOI
10.1007/978-1-4842-6516-1_9

Related papers

Quantum Data Processing

Bhagvan Kommadi

This chapter covers the topic of quantum data processing (see Figure 10-1). You will see how quantum data processing algorithms are implemented in day-to-day life. Code examples are presented for algorithms such as k-means, k-medians, and quantum clustering.

Apress eBooks•Jan 1, 2020•1 citation

Quantum AI Algorithms

Bhagvan Kommadi

This chapter covers the topic of quantum AI algorithms. You can see how quantum AI algorithms are implemented in day-to-day life. Code examples are presented for specific algorithms such as quantum probability, quantum walks, quantum search, quantum deep learning, and quantum parallelism.

Apress eBooks•Jan 1, 2020•0 citations

Quantum Neural Network Algorithms

Bhagvan Kommadi

This chapter covers the topic of quantum neural networks. You will see how quantum neural networks are implemented in real life. Code examples are presented for the quantum neural network topics related to quantum artificial neural networks (ANNs), quantum associative memory, quantum dots, quantum generative adversarial networks (GANs) , and quantum random access memory.

Apress eBooks•Jan 1, 2020•0 citations

A review of quantum support vector machine for data classification

Tran, Tien

Quantum Machine Learning is an active research field where the power of quantum mechanics is integrated into machine learning algorithms to solve problems that are intractable for classical computers. Quantum support vector machine (QSVM) was one of the first quantum algorithms that got implemented on real quantum hardware. It demonstrated promising outcomes as compared to classical Support vector machine (SVM) through many implementations. However, it encounters challenges in scaling with large datasets and in resource effectiveness when compare to the usage of innovative classical algorithms in the Noisy Intermediate Scale Quantum era. Here is a review of some latest developments of QSVM and discussion on prospects of QSVM application in the future.

•Aug 30, 2024•0 citations

Quantum Optimization Algorithms

Bhagvan Kommadi

This chapter covers an overview of quantum optimization algorithms. You will see how quantum optimization is used in real life. Code examples are presented for the quantum optimization applications.

Apress eBooks•Jan 1, 2020•0 citations

Quantum Solutions

Bhagvan Kommadi

This chapter covers the topic of quantum solutions. You will see how quantum AI algorithms are implemented in different real-life solutions. The solutions covered in this chapter are the traveling salesman problem, scheduling, fraud detection, and distribution solution.

Apress eBooks•Jan 1, 2020•0 citations
Quantum Machine Learning is an active research field where the power of quantum mechanics is integrated into machine learning algorithms to solve problems that are intractable for classical computers. Quantum support vector machine (QSVM) was one of the first quantum algorithms that got implemented on real quantum hardware. It demonstrated promising outcomes as compared to classical Support vector machine (SVM) through many implementations. However, it encounters challenges in scaling with large datasets and in resource effectiveness when compare to the usage of innovative classical algorithms in the Noisy Intermediate Scale Quantum era. Here is a review of some latest developments of QSVM and discussion on prospects of QSVM application in the future.