Quantum computing’s rapid evolution promises transformative potential for various sectors, notably within the realms of finance and machine learning. In a recently published paper in collaboration with Itaú Unibanco, Latin America’s largest bank, our team explored the impact of quantum machine learning on financial forecasting, spotlighting an exciting frontier for the financial industry. The Quantum Advantage in Finance The emergence of quantum computing introduces substantial capabilities to tackle computational challenges in finance, from combinatorial optimization to Monte Carlo simul ..read more

The race to viable quantum computing in the enterprise world has never been as heated as it is in the current moment. An ever-growing number of Fortune 500 organizations are leaning into quantum, making significant investments in R&D to get in on the ground floor and figure out how the potential of quantum can be leveraged to address worldwide business, environmental, and social problems. But while innovation is accelerating and quantum hardware and software organizations are meeting development milestones, we still have time left before we reach widespread, scalable, practical quantum adv ..read more

QC Ware is collaborating with Roche on a research project to optimize image recognition. The project combines the leading expertise of Roche in machine learning applications for biomedical image analysis and that of QC Ware in quantum machine learning and neural networks. The project will explore the potential of quantum neural networks to improve the accuracy, efficiency, and reliability of biomedical image interpretation and analysis. The potential end benefits for patients include earlier detection of diseases and greater diagnostic accuracy. Biomedical image analysis is a challenging aspec ..read more

QC Ware and IonQ Experiment Demonstrates Machine Learning Algorithms Can Run on Near-Term Quantum Hardware Welcome to QC Ware’s Medium channel. We’ll kick things off by sharing with you a major milestone in quantum machine learning that has significant implications for the development of practical and useful applications of QML and for the potential of the next generation of quantum machines to outperform classical computers. Today at Q2B20, Iordanis Kerenidis, head of Quantum Algorithms — International at QC Ware, and Sonika Johri, Senior Quantum Applications Research Scientist at IonQ ..read more