Technology Summary

A family of inventions covers various quantum computing & machine learning related topics. Quantum Machine Learning (QML) combines the benefits of quantum computing & machine learning. Two inventions propose solutions to improve performance of QML models, one by optimizing the shot allocation for training on real hardware, and another via a new embedding scheme using QRAM Memory. As the accessibility of quantum computing hardware grows, there is a concern for security, which are addressed in two of the inventions. One proposes a solution to model & simulate adversarial tampering on quantum circuits, another supports user distribution of their quantum computing tasks among trusted & untrusted quantum providers. Another proposes a method to prevent IP theft when using hybrid quantum classical algorithms. These inventions represent significant contributions to the field of quantum computing and its intersection with machine learning and cybersecurity.