Ground-state properties are central to our understanding of quantum many-body systems. At first glance, it seems natural and essential obtain the ground state before analyzing its properties; however, exponentially large Hilbert space has made such studies costly, if not prohibitive, on sufficiently system sizes. Here, we propose an alternative strategy based upon expectation values ensemble op...

We introduce an approach for performing quantum state reconstruction on systems of n qubits using a machine learning-based system trained exclusively m qubits, where ≥ n. This removes the necessity exactly matching dimensionality under consideration with dimension model used training. demonstrate our technique by randomly sampled one, two, and three methods containing at least one additional qu...

The world over, mental illness is a serious issue. Many people use the social media that may affect their health positively, but often result in negative sentiments. This research aims to determine an individual's state based on behavior Twitter. We analysed dataset including 170000 real tweets by using natural language processing and machine learning techniques. Decision tree, support vector m...