Company Filing History:
Years Active: 2025
Title: Souvik Mazumder: Innovator in Classical and Quantum Prediction Models
Introduction
Souvik Mazumder is a notable inventor based in Kolkata, India. He has made significant contributions to the field of predictive modeling by integrating classical and quantum approaches. His innovative work has garnered attention in the technology sector, particularly in the realm of data processing.
Latest Patents
Souvik holds a patent for a groundbreaking invention titled "Combined classical/quantum predictor evaluation." This patent involves a method that utilizes a classical data model on a classical processor to score a set of classical features. These features are evaluated based on their utility in predicting outcomes related to a resource. Additionally, a quantum data model is employed on a quantum processor to score a set of quantum features. The correlation between the scored classical and quantum features results in a combined set of scored features, which is then used to calculate the valuation of the resource based on input data. This innovative approach bridges the gap between classical and quantum computing, showcasing the potential of hybrid models in predictive analytics.
Career Highlights
Souvik Mazumder is currently associated with International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work at the forefront of technological advancements, contributing to projects that leverage both classical and quantum computing technologies. His expertise in predictive modeling has positioned him as a valuable asset within the organization.
Collaborations
Souvik has collaborated with notable colleagues such as Aaron K Baughman and Mohit Trivedi. These collaborations have further enriched his work and have led to advancements in the field of predictive analytics.
Conclusion
Souvik Mazumder's innovative contributions to the integration of classical and quantum prediction models highlight his role as a leading inventor in the technology sector. His patent and work at IBM reflect the potential of combining different computational approaches to enhance predictive capabilities.