Prevessin-Möens, France

Michele Grossi


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
1 patent (USPTO):

Title: Innovations by Michele Grossi in Quantum Computing

Introduction

Michele Grossi is an accomplished inventor based in Prevessin-Möens, France. He has made significant contributions to the field of quantum computing, particularly in optimizing data selection for quantum circuits. His innovative approach addresses the challenges posed by the limitations of data input in quantum devices.

Latest Patents

Michele Grossi holds a patent titled "Optimized selection of data for quantum circuits." This patent presents a data selection system that utilizes an iterative approach to choose a suitable subset of data for processing by a quantum algorithm. The system effectively compresses and clusters data according to task-specific distribution criteria. It selects a subset of clustered data that corresponds to representative cases, ensuring meaningful computational results. The selected subset is refined through multiple iterations based on metric scores until a termination criterion is met, allowing for efficient execution of processing tasks on quantum computers.

Career Highlights

Michele Grossi is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM focuses on advancing quantum computing technologies and enhancing data processing capabilities. His expertise in this area has positioned him as a key player in the ongoing development of quantum algorithms and data selection methodologies.

Collaborations

Michele collaborates with talented individuals such as Frederik Frank Flöther and Vaibhaw Kumar. These collaborations foster innovation and contribute to the advancement of quantum computing research.

Conclusion

Michele Grossi's contributions to quantum computing through his patent and work at IBM highlight his role as a leading inventor in this cutting-edge field. His innovative methods for data selection are paving the way for more effective quantum computing applications.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…