
Mphasis Granted U.S. Patent for Quantum Prediction System
Mphasis, a leading IT solutions provider, has been awarded a U.S. patent for a system and method for optimized processing of information on quantum systems. The patent outlines a pipeline to improve the scalability and performance of quantum machine learning on near-term quantum computing systems, including quantum simulators. This solution transforms high-dimensional classical input data into an enhanced feature space in quantum format, ensuring efficient mapping and preparation for quantum state loading. The optimal representation method for classical data on quantum systems minimizes the need for additional qubits for higher-dimensional data, handles large feature sets and high volumes of data, and ensures efficient convergence during quantum machine learning model training. Quantum Machine Learning leverages its ability to process high-dimensional, complex data, delivering solutions beyond the reach of classical high-performance computing hardware.
Key Highlights
- Mphasis awarded U.S. patent for a system and method for optimized processing of information on quantum systems
- Patent outlines a pipeline to improve scalability and performance of quantum machine learning on near-term quantum computing systems
- Solution transforms high-dimensional classical input data into an enhanced feature space in quantum format
- Optimal representation method for classical data on quantum systems minimizes the need for additional qubits
- Quantum Machine Learning delivers solutions beyond the reach of classical high-performance computing hardware