Quantum imaging represents a new frontier in our ability to measure and understand the world, providing unparalleled resolution and sensitivity that classical techniques can never achieve.

Our web based software application, Q-Sight, employs quantum algorithms for feature extraction in images covering a wide range of applications from anomaly detection in medical images to facial recognition, NLP and satellite based terrain mapping. We have already established classical algorithms for feature based categorization of ECGs in a user-friendly application. Our ongoing product development platform uses quantum techniques to further optimize the feature selection. Both our classical and quantum algorithms are extremely simple, highly robust and readily generalizable to higher dimensional signals (images) with minimal cost, promising a leap forward in the field of computer vision. The salient features of our algorithms are discussed below. 

• Precise detection and analysis of  signals
• Feature extraction
• Classification using techniques from Quantum Field Theory

• Enhanced focussing for anomaly detection 
• Quantum data compression for resource optimization
• Disease based classification and categorization