Theoretical predictions at high-energy colliders are based on encoding the quantum fluctuations that occur at very short distances by Feynman diagrams. These diagrams are made up of interaction vertices and propagators, which in fact represent a quantum superposition of propagation in the two directions between two interaction vertices. Therefore, Feynman propagators can be identified with...
We discuss the complete ground-state phase diagram for a one-dimensional ultracold few-atom triple mixture of interacting bosons trapped harmonically as the different coupling constant strengths range from zero to strong repulsive interactions. These results show that there are new appealing ground-state phases with various correlations, coherence and spatial localization stemming from...
We propose digital-analog quantum kernels for enhancing the detection of complex features in the classification of images. We consider multipartite-entangled analog blocks, stemming from native Ising interactions in neutral-atom quantum processors, and individual operations as digital steps to implement the protocol. To further improving the detection of complex features, we apply multiple...
We propose machine learning (ML) methods to characterize the memristive properties of single and coupled quantum memristors. We show that maximizing the memristivity leads to large values in the degree of entanglement of two quantum memristors, unveiling the close relationship between quantum correlations and memory. Our results strengthen the possibility of using quantum memristors as key...
We introduce a novel methodology that leverages the strength of Physics-Informed Neural Networks (PINNs) to address the counterdiabatic (CD) protocol in the optimization of quantum circuits comprised of systems with $N_{Q}$ qubits. The primary objective is to utilize physics-inspired deep learning techniques to accurately solve the time evolution of the different physical observables within...
The cornerstone of modern quantum metrology is the quantum Cramér-Rao bound and the quantum Fisher information. Under generic conditions, this bound can be saturated by an optimal estimator and measurement, provided that many repeated measurements on the system are performed. However, in the presence of smaller data sets it typically largely underestimates the error that can actually be...
