97 citations · 519 across the 23 of their papers we have counts for
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Can Chemically Inspired Parameter Initialization Mitigate Barren Plateaus in Variational Quantum Eigensolvers?
Zhangyu Yang, Jinzhao Sun, Jianpeng Chen +2
Recent advances in the variational quantum eigensolver (VQE) have strengthened its promise for molecular electronic-structure calculations on near-term noisy intermediate-scale qua…
The Counterintuitive "One-Enhanced, One-Suppressed" Bifurcation Phenomenon of Spin Mobility under Weak Spin-Orbit Coupling in Helices
Hengrui Yang, Yu Xiong, Weitang Li +1
The chiral-induced spin selectivity (CISS) effect poses a longstanding puzzle: how weak spin-orbit coupling (SOC) within a helical molecule produces strong spin polarization. We un…
Layer-Controlled Intermolecular Coupling and Many-Body Effects in C Films
Hai-Lan Luo, Weitang Li, Luca Moreschini +4
Crystalline C is a molecular solid whose electronic properties emerge from the interplay of intermolecular hopping, electron correlations, and electron-vibration coupling. U…
Entanglement structure of the dynamical phases in the sub-Ohmic spin-boson model
Cunxi Gong, Zirui Sheng, Weitang Li
The sub-Ohmic spin-boson model exhibits three distinct dynamical regimes in its spin population dynamics, classified as coherent, incoherent, and pseudo-coherent. Whether these reg…
Automated Unitary Coupled Cluster Circuit Design via Differentiable Quantum Architecture Search
Jianpeng Chen, Zirui Sheng, Cunxi Gong +1
Designing compact and accurate circuits for the variational quantum eigensolver (VQE) is a central challenge in near-term quantum chemistry. Existing adaptive methods such as ADAPT…
TensorCircuit-NG: A Universal, Composable, and Scalable Platform for Quantum Computing and Quantum Simulation
Shi-Xin Zhang, Yu-Qin Chen, Weitang Li +22
We present TensorCircuit-NG, a next-generation quantum software platform designed to bridge the gap between quantum physics, artificial intelligence, and high-performance computing…
Autonomous Quantum Simulation through Large Language Model Agents
Weitang Li, Jiajun Ren, Lixue Cheng +1
We demonstrate that large language model (LLM) agents can autonomously perform tensor network simulations of quantum many-body systems, achieving approximately 90% success rate acr…