Quantum reservoir computing and quantum extreme learning machines are two emerging
approaches that have demonstrated their potential both in classical and quantum machine …

These are exciting times for quantum physics as new quantum technologies are expected to
soon transform computing at an unprecedented level. Simultaneously network science is …

The development of technologies for quantum information (QI) science demands the
realization. and precise control of complex (multipartite and high dimensional) entangled …

The advent of noisy intermediate-scale quantum (NISQ) technology is changing rapidly the
landscape and modality of research in quantum physics. NISQ devices, such as the IBM Q …

We identify precision limits for the simultaneous estimation of multiple parameters in
multimode interferometers. Quantum strategies to enhance the multiparameter sensitivity are …

Quantum reservoir computing aims at harnessing the rich dynamics of quantum systems for
machine-learning purposes. It can be used for online time series processing while having a …

Quantum reservoir computing (QRC) exploits the information-processing capabilities of
quantum systems to solve nontrivial temporal tasks, improving over their classical …

Complex numbers define the relationship between entities in many situations. A canonical
example would be the off-diagonal terms in a Hamiltonian matrix in quantum physics …

Recent developments in practical quantum engineering and control techniques have
allowed significant developments for experimental studies of open quantum systems and …

We define the topological Dirac equation describing the evolution of a topological wave
function on networks or on simplicial complexes. On networks, the topological wave function …