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Mphasis Ltd lost 3.99% today to trade at Rs 2083. The BSE Information Technology index is down 2.02% to quote at 32017.46. The index is down 13.47 % over last one month. Among the other constituents of the index, Wipro Ltd decreased 3.11% and Tanla Platforms Ltd lost 2.22% on the day. The BSE Information Technology index went down 10.81 % over last one year compared to the 1.05% fall in benchmark SENSEX.
Mphasis Ltd has lost 7.99% over last one month compared to 13.47% fall in BSE Information Technology index and 0.29% drop in the SENSEX. On the BSE, 935 shares were traded in the counter so far compared with average daily volumes of 8721 shares in the past one month. The stock hit a record high of Rs 3239.55 on 12 Dec 2024. The stock hit a 52-week low of Rs 2025.05 on 07 Apr 2025.
Mphasis announced the award of a U.S. patent on “System and method for optimized processing of information on quantum systems”. The newly issued patent outlines a pipeline to improve the scalability and performance of quantum machine learning (QML) 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. The feature space transformation ensures efficient mapping and preparation for quantum state loading, paving the way for improved quantum data processing and analysis. 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 (QML) model training. QML leverages its ability to process high-dimensional, complex data, delivering solutions beyond the reach of classical high performance computing hardware.
“Quantum Machine Learning (QML) is emerging as a transformative paradigm, enabling academia and industry to solve real-world AI challenges with unprecedented efficiency. This technology and the associated patent stand as a testament to our commitment to innovation and the advancement of next-generation technologies,” said Srikumar Ramanathan, Chief Solutions Officer, Mphasis.
This solution transforms high-dimensional classical input data into an enhanced feature space in quantum format. The feature space transformation ensures efficient mapping and preparation for quantum state loading, paving the way for improved quantum data processing and analysis.
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 (QML) model training. QML leverages its ability to process high-dimensional, complex data, delivering solutions beyond the reach of classical high performance computing hardware.
Srikumar Ramanathan, chief solutions officer, Mphasis, said, “Quantum Machine Learning (QML) is emerging as a transformative paradigm, enabling academia and industry to solve real-world AI challenges with unprecedented efficiency. This technology and the associated patent stand as a testament to our commitment to innovation and the advancement of next-generation technologies.”
Mphasis is a leading Information Technology (IT) solutions provider specialising in cloud and cognitive services.
The company’s consolidated net profit jumped 1.06% to Rs 427.81 crore in Q3 FY25 as compared with Rs 423.33 crore in Q2 FY25. Net sales marginally increased to Rs 3,561.34 crore in Q3 FY25, up 0.71%, as compared with to Rs 3,536.15 crore in Q2 FY25
The counter declined 2.25% to Rs 2,120.65 on the BSE.