Zhou‐Quan Wan

Neural network–augmented Pfaffian wave-functions for scalable simulations of interacting fermions

Ao Chen, Zhou‐Quan Wan, Anirvan M. Sengupta, Antoine Georges et autres

Developing accurate numerical methods for strongly interacting fermions is crucial for improving our understanding of various quantum many-body phenomena, especially unconventional superconductivity. Recently, neural quantum states have emerged as a promising approach for studying correlated fermions, highlighted by the hidden fermion and …

us, de, cz, nl, ch, fr (code pays fourni par la source)

Emergence of Charge- 4 e Superconductivity from 2D Nematic Superconductors

Anonymous, Zhou‐Quan Wan, Hong Mei Yao

Charge-4e superconductivity is an exotic state of matter that may emerge as a vestigial order from a charge-2e superconductor with multicomponent superconducting order parameters. Showing its emergence in a lattice phase model from numerically exact large-scale computations has remained rare. Here, we …

cn, us (code pays fourni par la source)

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 PDW states, exact PDW ground states in topological bands have remained elusive. Here we construct exactly solvable models …

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 PDW states, exact PDW ground states in topological bands have remained elusive. Here we construct exactly solvable models …

pl, us (code pays fourni par la source)

Neural Network Discovers Paired Wigner Crystal in Artificial Graphene

Conor Smith, Yubo Yang, Zhou‐Quan Wan, Yixiao Chen et autres

us, cn (code pays fourni par la source)

Emergent Spacetime Supersymmetry at 2D Fractionalized Quantum Criticality

Zhengzhi Wu, Zhou‐Quan Wan, Shao-Kai Jian, Hong Mei Yao

While experimental evidence for spacetime supersymmetry (SUSY) in particle physics remains elusive, condensed matter systems offer a promising arena for its emergence at quantum critical points (QCPs). Although there have been a variety of proposals for emergent SUSY at symmetry-breaking QCPs, the …

cn, us (code pays fourni par la source)

Quantum Charge-4e Superconductivity and Deconfined Pseudocriticality in the Attractive SU(4) Hubbard Model

Zhou‐Quan Wan, Huan Jiang, Xuan Zou, Shiwei Zhang et autres

Unlike conventional charge-2e superconductors, a charge-4e superconductor exhibits long-range coherence of electron quartets rather than Cooper pairs. Clear zero-temperature realizations of charge-4e superconductivity remain rare. Here, we investigate the zero-temperature phase diagram of the attractive SU(4) Hubbard model with numerically exact, large-scale …

Quantum Charge-4e Superconductivity and Deconfined Pseudocriticality in the Attractive SU(4) Hubbard Model

Zhou‐Quan Wan, Huan Jiang, Xuan Zou, Shiwei Zhang et autres

Unlike conventional charge-2e superconductors, a charge-4e superconductor exhibits long-range coherence of electron quartets rather than Cooper pairs. Clear zero-temperature realizations of charge-4e superconductivity remain rare. Here, we investigate the zero-temperature phase diagram of the attractive SU(4) Hubbard model with numerically exact, large-scale …

us, cn (code pays fourni par la source)

Revisiting Nishimori multicriticality through the lens of information measures

Zhou‐Quan Wan, X. W. Dai, Guoyi 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 beyond the Nishimori line and establish them as sharp indicators of phase transitions over the full p …

us, hk, cn (code pays fourni par la source)

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 quantum states. In practice, however, the stochastic estimators that form the backbone of the method can become unstable or biased …

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 quantum states. In practice, however, the stochastic estimators that form the backbone of the method can become unstable or biased …

Neural Network Discovery of Paired Wigner Crystals in Artificial Graphene

Conor Smith, Yubo Yang, Zhou‐Quan Wan, Yuli Chen et autres

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 efforts in experiment, theory, and simulation. Utilizing a neural-network-based quantum Monte Carlo approach, we discover a …