We present a novel method for simulating the noisy behavior of quantum computers, which
allows to efficiently incorporate environmental effects in the driven evolution implementing …

State-of-the-art noisy digital quantum computers can only execute short-depth quantum
circuits. Variational algorithms are a promising route to unlock the potential of noisy quantum …

Quantum computers provide a promising method to study the dynamics of many‐body
systems beyond classical simulation. On the other hand, the analytical methods developed …

Quantum computers promise a great computational advantage over classical computers,
which might help solve various computational challenges such as the simulation of …

Variational quantum algorithms are tailored to perform within the constraints of current
quantum devices, yet they are limited by performance-degrading errors. In this study we …

In this paper, we propose an ansatz approximation approach for variational quantum
algorithms (VQAs) that uses one of the hardware's main attributes, its crosstalk behavior, as …

We explore the application of quantum optimal control (QOC) techniques to state
preparation of lattice field theories on quantum computers. As a first example, we focus on …

Quantum machine learning algorithms based on parameterized quantum circuits are
promising candidates for near-term quantum advantage. Although these algorithms are …

Control and learning are key to technological advancement, both in the classical and
quantum domains, yet their interrelationship is insufficiently clear in the literature, especially …

Quantum computation holds the promise of solving computational problems which are
believed to be classically intractable. However, in practice, quantum devices are still limited …