Abstract Machine learning algorithms based on parametrized quantum circuits are prime
candidates for near-term applications on noisy quantum computers. In this direction, various …

The recent advent of noisy intermediate-scale quantum devices, especially near-term
quantum computers, has sparked extensive research efforts concerned with their possible …

We consider process tomography for unitary quantum channels. Given access to an
unknown unitary channel acting on a d-dimensional qudit, we aim to output a classical …

Quantum channels underlie the dynamics of quantum systems, but in many practical settings
it is the channels themselves that require processing. We establish universal limitations on …

Catalysts are quantum systems that open up dynamical pathways between quantum states
which are otherwise inaccessible under a given set of operational restrictions while, at the …

From both intuitive and physical perspectives, it is generally recognized that within a
resource theory framework, free operations cannot broadcast a resource state due to their …

In the model of quantum cloud computing, the server executes a computation on the
quantum data provided by the client. In this scenario, it is important to reduce the amount of …

In this paper, we provide the first efficient algorithm for port-based teleportation, a unitarily
equivariant version of teleportation useful for constructing programmable quantum …

Landauer's principle asserts that any computation has an unavoidable energy cost that
grows proportionally to its degree of logical irreversibility. But even a logically reversible …

Quantum computing has been a fascinating research field in quantum physics. Recent
progresses motivate us to study in depth the universal quantum computing models …