Multimodal sentiment analysis aims to capture diversified sentiment information implied in
data that are of different modalities (eg, an image that is associated with a textual description …

Sentiment analysis aims to capture the diverse sentiment information expressed by authors
in given natural language texts, and it has been a core research topic in many artificial …

Reconstructing the state of quantum many-body systems is of fundamental importance in
quantum information tasks, but extremely challenging due to the curse of dimensionality. In …

Accurate quantum tomography is a vital tool in both fundamental and applied quantum
science. It is a task that involves processing a noisy measurement record in order to …

We report an experimental realization of adaptive Bayesian quantum state tomography for
two-qubit states. Our implementation is based on the adaptive experimental design strategy …

Abstract The introduction of Quantum Theory (QT) provides a unified mathematical
framework for Information Retrieval (IR). Compared with the classical IR framework, the …

Nowadays, a series of pioneering studies provide the evidence that quantum probability
theory can be applied in information retrieval as a mathematical framework, such as …

Estimation of quantum states and measurements is crucial for the implementation of
quantum information protocols. The standard method for each is quantum tomography …

An ensemble of quantum states can be described by a Hermitian, positive semidefinite and
unit trace matrix called density matrix. Thus, the study of methods for optimizing a certain …

Consider the problem of minimizing an expected logarithmic loss over either the probability
simplex or the set of quantum density matrices. This problem includes tasks such as solving …