269 citations · 449 across the 7 of their papers we have counts for
7 papers
Generalized Bose-Fermi mapping and strong coupling ansatz wavefunction for one dimensional strongly interacting spinor quantum gases
Li Yang, Shah Saad Alam, Han Pu
Quantum many-body systems in one dimension (1D) exhibit some peculiar properties. In this article, we review some of our work on strongly interacting 1D spinor quantum gas. First,…
Scalable variational Monte Carlo with graph neural ansatz
Li Yang, Wenjun Hu, Li Li
Deep neural networks have been shown as a potentially powerful ansatz in variational Monte Carlo for solving quantum many-body problems. We propose two improvements in this directi…
Big Bird: Transformers for Longer Sequences
Manzil Zaheer, Guru Guruganesh, Avinava Dubey +8
Transformers-based models, such as BERT, have been one of the most successful deep learning models for NLP. Unfortunately, one of their core limitations is the quadratic dependency…
Deep Learning-Enhanced Variational Monte Carlo Method for Quantum Many-Body Physics
Li Yang, Zhaoqi Leng, Guangyuan Yu +3
Artificial neural networks have been successfully incorporated into variational Monte Carlo method (VMC) to study quantum many-body systems. However, there have been few systematic…
One-Body Density Matrix and Momentum Distribution of Strongly Interacting One-Dimensional Spinor Quantum Gases
Li Yang, Han Pu
The one-body density matrix (OBDM) of a strongly interacting spinor quantum gas in one dimension can be written as a summation of products of spatial and spin parts. We find that t…
Bose-Fermi Mapping and Multi-Branch Spin Chain Model for Strongly Interacting Quantum Gases in One-Dimension: Dynamics and Collective Excitations
Li Yang, Han Pu
We show that the wave function of a one dimensional spinor gas with contact -wave interaction, either bosonic or fermionic, can be mapped to the direct product of the wave funct…