Mphasis Quantum Computing PoC builds confidence and establishes a business case for its application as the most effective framework for solving some of the most critical business problems.
Mphasis is at the forefront in using quantum computers for machine learning, optimization, and simulation problems. As a pioneer in delivering AI/ML solutions, we foresee quantum computing as a major driver in solving our clients’ business problems.
Our experience in Quantum Computing is spread across Quantum Annealing and Circuit based systems as well as simulators and emulators. We have expertise in building a variety of Quantum based algorithms including Capacitated Vehicle Routing Optimization, Portfolio selection, Asset allocation, Supply Chain Demand Prediction, Large Scale image analytics etc.
Mphasis offers 6 weeks EON Quantum Computing proof of concept development led by its team of quantum computing experts and data scientists and its Azure Cloud expertise. Our services are powered by our patent pending Quantum Computing framework, Energy Optimized Network (Mphasis EON). The framework overcomes the limitations of quantum systems not being able to work on varied input datasets. The framework consists of Quantum assisted Machine Learning, Q-Circuit and Deep neural network layers. Mphasis EON can best represent classical data on quantum systems for predictions, enabling it to handle big data effectively. EON achieves better training accuracy, optimal information representation for Quantum as well as optimal feature space preparation for predictive tasks, resulting in faster convergence with fewer qubit requirements on Azure cloud.
#The PoC will deliver
#The roadmap for the engagement