134 citations · 259 across the 17 of their papers we have counts for
18 papers
Exactly solvable pair-density wave in topological flat bands from magnetic translation symmetries
Zhengzhi Wu, Zhou-Quan Wan, Steven H. Simon
Pair-density wave (PDW) superconductors are exotic phases in which Cooper pairs carry finite center-of-mass momentum. Despite a variety of theoretical and experimental reports on P…
Quantum Charge-4e Superconductivity and Deconfined Pseudocriticality in the Attractive SU(4) Hubbard Model
Zhou-Quan Wan, Huan Jiang, Xuan Zou +2
Unlike conventional charge-2e superconductors, a charge-4e superconductor exhibits long-range coherence of electron quartets rather than Cooper pairs. Clear zero-temperature realiz…
Removing nodal and support-mismatch pathologies in Variational Monte Carlo via blurred sampling
Zhou-Quan Wan, Roeland Wiersema, Shiwei Zhang
Variational Monte Carlo (VMC) is a powerful and fast-growing method for optimizing and evolving parameterized many-body wave functions, especially with modern neural-network quantu…
Neural Network Discovery of Paired Wigner Crystals in Artificial Graphene
Conor Smith, Yubo Yang, Zhou-Quan Wan +3
Moiré systems have emerged as an exciting tunable platform for engineering and probing quantum matter. A large number of exotic states have been observed, stimulating intense effor…
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…
Revisiting Nishimori multicriticality through the lens of information measures
Zhou-Quan Wan, Xu-Dong Dai, Guo-Yi Zhu
The quantum error correction threshold is closely related to the Nishimori physics of random statistical models. We extend quantum information measures such as coherent information…
Emergence of charge- superconductivity from 2D nematic superconductors
Xuan Zou, Zhou-Quan Wan, Hong Yao
Charge- superconductivity is an exotic state of matter that may emerge as a vestigial order from a charge- superconductor with multicomponent superconducting order paramete…
Emergent spacetime supersymmetry at 2D fractionalized quantum criticality
Zhengzhi Wu, Zhou-Quan Wan, Shao-Kai Jian +1
While experimental evidence for spacetime supersymmetry (SUSY) in particle physics remains elusive, condensed matter systems offer a promising arena for its emergence at quantum cr…
Neural Network-Augmented Pfaffian Wave-functions for Scalable Simulations of Interacting Fermions
Ao Chen, Zhou-Quan Wan, Anirvan Sengupta +2
Developing accurate numerical methods for strongly interacting fermions is crucial for improving our understanding of various quantum many-body phenomena, especially unconventional…
Addressing the Infinite Variance Problem in Fermionic Monte Carlo Simulations: Retrospective Error Remediation and the Exact Bridge Link Method
Zhou-Quan Wan, Shiwei Zhang
We revisit the infinite variance problem in fermionic Monte Carlo simulations, which is widely encountered in areas ranging from condensed matter to nuclear and high-energy physics…
Pfaffian quantum Monte Carlo: solution to Majorana sign ambiguity and applications
Ze-Yao Han, Zhou-Quan Wan, Hong Yao
Determinant quantum Monte Carlo (DQMC), formulated in complex-fermion representation, has played a key role in studying strongly-correlated fermion systems. However, its applicabil…
Asymptotic sign free in interacting fermion models
Zi-Xiang Li, Zhou-Quan Wan, Hong Yao
As an intrinsically-unbiased approach, quantum Monte Carlo (QMC) is of vital importance in understanding correlated phases of matter. Unfortunately, it often suffers notorious sign…
TensorCircuit: a Quantum Software Framework for the NISQ Era
Shi-Xin Zhang, Jonathan Allcock, Zhou-Quan Wan +13
TensorCircuit is an open source quantum circuit simulator based on tensor network contraction, designed for speed, flexibility and code efficiency. Written purely in Python, and bu…
Variational Quantum-Neural Hybrid Error Mitigation
Shi-Xin Zhang, Zhou-Quan Wan, Chang-Yu Hsieh +2
Quantum error mitigation (QEM) is crucial for obtaining reliable results on quantum computers by suppressing quantum noise with moderate resources. It is a key factor for successfu…
Variational Quantum-Neural Hybrid Eigensolver
Shi-Xin Zhang, Zhou-Quan Wan, Chee-Kong Lee +3
The variational quantum eigensolver (VQE) is one of the most representative quantum algorithms in the noisy intermediate-size quantum (NISQ) era, and is generally speculated to del…
Mitigating the fermion sign problem by automatic differentiation
Zhou-Quan Wan, Shi-Xin Zhang, Hong Yao
As an intrinsically unbiased method, the quantum Monte Carlo (QMC) method is of unique importance in simulating interacting quantum systems. Although the QMC method often suffers f…
Automatic Differentiable Monte Carlo: Theory and Application
Shi-Xin Zhang, Zhou-Quan Wan, Hong Yao
Differentiable programming has emerged as a key programming paradigm empowering rapid developments of deep learning while its applications to important computational methods such a…
Automatic Differentiation for Complex Valued SVD
Zhou-Quan Wan, Shi-Xin Zhang
In this note, we report the back propagation formula for complex valued singular value decompositions (SVD). This formula is an important ingredient for a complete automatic differ…