Abstract Quantum Optimal Control is an established field of research which is necessary for
the development of Quantum Technologies. In recent years, Machine Learning techniques …

Diamond based quantum technology is a fast emerging field with both scientific and
technological importance. With the growing knowledge and experience concerning diamond …

A recurring challenge in quantum science and technology is the precise control of their
underlying dynamics that lead to the desired quantum operations, often described by a set of …

This chapter examines a number of techniques for handling unwanted control errors,
including amplitude errors, timing errors, and frequency errors in the control field. The …

The difficulty of an optimization task in quantum information science depends on the proper
mathematical expression of the physical target. Here we demonstrate the power of …

Efficient optimization of quantum systems is a necessity for reaching fault-tolerant
thresholds. A standard tool for optimizing simulated quantum dynamics is the gradient …

The nitrogen-vacancy (NV) center spin represents an appealing candidate for quantum
information processing. Besides the widely used microwave control, its coherent …

Work within this thesis advances optimal control algorithms for application to magnetic
resonance systems. Specifically, presenting a quadratically convergent version of the …

We study the quantum-jump-based feedback control on the entanglement shared between
two qubits with one of them subject to decoherence while the other qubit is under the control …

Unavoidable systematic errors hinder precise quantum control. Pulse length error (PLE) and
off-resonance one (ORE) are typical systematic errors that are encountered during one-qubit …