4 papers
Constructing 3D Rotational Invariance and Equivariance with Symmetric Tensor Networks
Meng Zhang, Chao Wang, Hao Zhang +2
Symmetry-aware architectures are central to geometric deep learning. We present a systematic approach for constructing continuous rotationally invariant and equivariant functions u…
Exploring the Finite-Temperature Behavior of Rydberg Atom Arrays: A Tensor Network Approach
Yuzhou Han, Hao Zhang, Lixin He
Rydberg atom arrays have emerged as a powerful platform for experimental research and a challenging subject for theoretical investigation in quantum science. In this study, we inve…
Scalable tensor network algorithm for thermal quantum many-body systems in two dimension
Meng Zhang, Hao Zhang, Chao Wang +1
Simulating strongly-correlated quantum many-body systems at finite temperatures is a significant challenge in computational physics. In this work, we present a scalable finite-temp…
Beyond Boundaries: efficient Projected Entangled Pair States methods for periodic quantum systems
Shaojun Dong, Chao Wang, Hao Zhang +2
Projected Entangled Pair States (PEPS) are recognized as a potent tool for exploring two-dimensional quantum many-body systems. However, a significant challenge emerges when applyi…