Since the pioneering works by Landau, Zener, Stückelberg, and Majorana (LZSM), it has
been known that driving a quantum two-level system results in tunneling between its states …

The prospect of achieving quantum advantage with quantum neural networks (QNNs) is
exciting. Understanding how QNN properties (for example, the number of parameters M) …

Abstract Variational Quantum Algorithms (VQAs) have received considerable attention due
to their potential for achieving near-term quantum advantage. However, more work is …

I demonstrate the potential of reinforcement learning (RL) to prepare quantum states of
strongly periodically driven nonlinear single-particle models. The ability of Q-learning to …

Mathematical analysis of quantum control landscapes, which aims to prove either absence
or existence of traps for quantum control objective functionals, is an important topic in …

The quantum imaginary time evolution is a powerful algorithm for preparing the ground and
thermal states on near-term quantum devices. However, algorithmic errors induced by …

In this work, we consider an environment formed by incoherent photons as a resource for
controlling open quantum systems via an incoherent control. We exploit a coherent control in …

High-fidelity generation of two-qubit gates is important for quantum computation, since such
gates are components of popular universal sets of gates. Here, we consider the problem of …

The interaction between a quantum system and its environment limits our ability to control it
and perform quantum operations on it. We present an efficient method to find optimal …

We consider the dissipative charging process of quantum batteries in terms of a collisional
model, where the batteries are coupled to a heat bath using nonenergy preserving …