ETD

• deep learning
• deep reinforcement learning
• Proximal Policy Optimization
• Qiskit Pulse
• quantum computing
• quantum control
• quantum Information processing
• transmon qubit

The work investigates in use of Reinforcement Learning in the domain of Quantum Control using Qiskit Pulse framework and IBMQ Platform for transmon superconducting qubit systems.
It is proposed a quantum control framework applied to an open-loop control optimization through reinforcement learning.
In particular, the thesis focuses on realizing analogue-layer controls that would implement a driven X90 gate and any state transition from the ground state to target quantum state.