The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Enrique Rico Ortega and Sofia Vallecorsa explain how quantum computing will allow physicists to model complex dynamics, from ...

We utilize hybrid quantum deep reinforcement learning to learn navigation tasks for a simple, wheeled robot in simulated environments of increasing complexity. For this, we train parameterized quantum ...

Quantum neural networks are a popular realization of quantum machine learning. Typically, classical data is first embedded into the state vector of a quantum system. A parameterized quantum circuit ...