This is an introductory review of the physics of quantum spin liquid states. Quantum magnetism is a rapidly evolving field, and recent developments reveal that the ground states …
Classical machine learning (ML) provides a potentially powerful approach to solving challenging quantum many-body problems in physics and chemistry. However, the …
Z Song, Z Fang, C Fang - Physical review letters, 2017 - APS
We study fourfold rotation-invariant gapped topological systems with time-reversal symmetry in two and three dimensions (d= 2, 3). We show that in both cases nontrivial topology is …
We consider the preparation of matrix product states (MPS) on quantum devices via quantum circuits of local gates. We first prove that faithfully preparing translation-invariant …
What are topological phases of matter? First, they are phases of matter at zero temperature. Second, they have a nonzero energy gap for the excitations above the ground state. Third …
Recent advances in classical machine learning have shown that creating models with inductive biases encoding the symmetries of a problem can greatly improve performance …
This topical review article gives an overview of the interplay between quantum information theory and thermodynamics of quantum systems. We focus on several trending topics …
Quantum coherence and quantum correlations are of fundamental and practical significance for the development of quantum mechanics. They are also cornerstones of quantum …
This is an introductory review of the physics of topological quantum matter with cold atoms. Topological quantum phases, originally discovered and investigated in condensed matter …