Top Quantum Machine Learning Innovators.

Quantum machine learning is a field of research that combines the principles of quantum computing and machine learning to develop advanced algorithms and models. The technology industry’s ongoing need for faster and more accurate computational capabilities to handle complex datasets, combined with the continuous progress in quantum hardware and algorithms, has resulted in growing importance for quantum algorithms, quantum hardware, and quantum data encoding techniques. In the last three years alone, there have been over 3.6 million patents filed and granted in the technology industry. GlobalData’s analysis identifies where certain innovations stand on the S-shaped curve of their lifecycle, and 300+ innovation areas that will shape the future of the industry. Quantum machine learning is a disruptive technology still in the emerging stage that holds significant promise for advancements in various fields such as drug discovery, financial modeling, and optimization problems. GlobalData identifies the key players in this innovation area, including Alphabet, IBM, and D-Wave Quantum, and assesses the potential reach and impact of their patenting activity across different applications and geographies.