Generating high-quality data (e.g., images or video) is one of the most exciting and challenging frontiers in unsupervised machine learning. Utilizing quantum computers in such tasks to potentially enhance conventional machine learning algorithms has emerged
Amazon Braket now supports PennyLane, an open source software framework for hybrid quantum computing. Pennylane provides interfaces to common machine learning libraries, including PyTorch and TensorFlow. It’s now possible to train quantum circuits in the same
D-Wave has just announced a cross-system software tool providing interoperability between quantum annealing and gate-model quantum computers. The open-source plugin allows developers to map quadratic optimization inputs in IBM’s Qiskit format onto D-Wave’s quadratic unconstrained
