5 papers
Hubble tension: a short review of theoretical explanations
Jia-Qi Wang, Zong-Kuan Guo
The cold dark matter model successfully describes a wide range of cosmological observations. However, the persistent discrepancy between the value of the Hubble constant inferr…
Optimization dynamics of Transformer backflow neural quantum states for the two-dimensional Hubbard model
Zong-Yu Liao, Jia-Qi Wang, Rong-Qiang He +1
The paper studies how various hyperparameters affect the training dynamics of a Transformer‑based neural quantum state ansatz for the two‑dimensional Hubbard model, using a multi‑s…
NQS-Agent: Health-Aware Agentic Hyperparameter Optimization for Neural-Network Quantum States
Jia-Qi Wang, Xiao-Qi Han, Ze-Feng Gao +2
Neural-network quantum states (NQS) provide expressive variational representations for strongly correlated quantum many-body systems, but their practical accuracy depends sensitive…
Resolving the Planck-DESI tension by nonminimally coupled quintessence
Jia-Qi Wang, Rong-Gen Cai, Zong-Kuan Guo +1
The Planck measurement of the cosmic microwave background (CMB) has established the -cold-dark-matter (CDM) model as the concordant model along with other observations. How…
Generalized Lanczos method for systematic optimization of neural-network quantum states
Jia-Qi Wang, Rong-Qiang He, Zhong-Yi Lu
Recently, artificial intelligence for science has made significant inroads into various fields of natural science research. In the field of quantum many-body computation, researche…