Categories: Quantum Computing

20+ Usecases in Quantum Computing

Quantum Computing Usecases

Here is a list of 20+ Quantum Computing Use Cases in some of the following fields:

Machine Learning and Computer Science
Financial Modeling
Healthcare and medicine
Security and mission planning

Machine Learning and Computer Science

Detecting statistical anomalies
Finding compressed models
Recognizing images and patterns
Training neural networks
Verifying and validating software
Classifying unstructured data
Diagnosing circuit faults

Financial Modeling

Detecting market instabilities
Developing trading strategies
Optimizing trading trajectories
Optimizing asset pricing and hedging
Optimizing portfolios

Healthcare and Medicine

Detecting fraud
Generating targeted cancer drug therapies
Optimizing radiotherapy treatments
Creating protein models

Security and Mission Planning

Detecting computer viruses & network
intrusion
Scheduling resources and optimal
paths
Determining set membership
Analyzing graph properties
Factoring integers

The related details can be found from D-Wave Whitepaper on Quantum Computing

Author
Recent Posts

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin.
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.

Latest posts by Ajitesh Kumar (see all)

Coefficient of Variation in Regression Modelling: Example - November 9, 2025
Chunking Strategies for RAG with Examples - November 2, 2025
RAG Pipeline: 6 Steps for Creating Naive RAG App - November 1, 2025

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.