Yantao Wu

Variational Monte Carlo with row-update projected entangled-pair states and its applications to quantum spin glasses

Anonymous, Jing Liu, Yantao Wu, Pan Zhang et autres

cn, cz, ps (code pays fourni par la source)

Spin-charge separation in the triangular-lattice Hofstadter-Hubbard model

Yuntian Gu, Hui Yang, Zhehao Dai, Yantao Wu

Recent experiments in moiré materials have enabled the realization of a variety of exotic quantum phases. In this context, the Hofstadter-Hubbard model has been proposed as a possible setting for hosting chiral spin liquid. Concurrently, significant progress has been recently made in …

Spin-charge separation in the triangular-lattice Hofstadter-Hubbard model

Yuntian Gu, Hui Yang, Zhehao Dai, Yantao Wu

Recent experiments in moiré materials have enabled the realization of a variety of exotic quantum phases. In this context, the Hofstadter-Hubbard model has been proposed as a possible setting for hosting chiral spin liquid. Concurrently, significant progress has been recently made in …

cn, us (code pays fourni par la source)

Quantum-classical crossover in fault-tolerant quantum dynamics simulation

J F Sun, Bozhen Zhou, Jue Xu, Yuan Yao et autres

While quantum computers promise to solve classically intractable problems, identifying the point at which fault-tolerant quantum computation outperforms the best classical algorithms for practical applications remains an outstanding challenge. Here we establish a concrete quantum-classical crossover for quantum many-body dynamics under realistic …

Quantum-classical crossover in fault-tolerant quantum dynamics simulation

J F Sun, Bozhen Zhou, Jue Xu, Yuan Yao et autres

While quantum computers promise to solve classically intractable problems, identifying the point at which fault-tolerant quantum computation outperforms the best classical algorithms for practical applications remains an outstanding challenge. Here we establish a concrete quantum-classical crossover for quantum many-body dynamics under realistic …

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

Efficient classical simulation of two-dimensional long-range systems: Rydberg arrays and beyond

Jia-Lin Chan, Tao Xiang, Yantao Wu

In variational Monte Carlo (VMC) calculations of $N$-site quantum systems with arbitrary all-to-all two-body interactions, evaluating the local energy generally costs $O(N^3)$. We introduce a new framework that reduces this cost to $O(N)$ for tensor network states, capable of scalable and accurate …

Efficient classical simulation of two-dimensional long-range systems: Rydberg arrays and beyond

Jia-Lin Chan, Tao Xiang, Yantao Wu

In variational Monte Carlo (VMC) calculations of $N$-site quantum systems with arbitrary all-to-all two-body interactions, evaluating the local energy generally costs $O(N^3)$. We introduce a new framework that reduces this cost to $O(N)$ for tensor network states, capable of scalable and accurate …

cn (code pays fourni par la source)

Resolving support-mismatch by local basis rotation in variational Monte Carlo

Jia-Lin Chen, Zhen Fan, Canhui Yan, Yantao Wu et autres

Real-time dynamics after a local quench by a charged operator encodes the response functions measured in spectroscopic experiments, yet they have long posed a challenge for variational Monte Carlo calculations. The obstacle is a support mismatch: the projective action by a charged …

Disentangling Tensor Network States with Deep Neural Network

Chaohui Fan, Bo Zhan, Yuntian Gu, Tong Liu et autres

We introduce Neural Tensor Network States ($ν$TNS), a variational many-body wave-function ansatz that integrates deep neural networks with tensor-network architectures. In the $ν$TNS framework, a neural network serves as a disentangler of the wave-function, transforming the physical degrees of freedom into renormalized …

Disentangling Tensor Network States with Deep Neural Network

Chaohui Fan, Bo Zhan, Yuntian Gu, Tong Liu et autres

We introduce Neural Tensor Network States ($ν$TNS), a variational many-body wave-function ansatz that integrates deep neural networks with tensor-network architectures. In the $ν$TNS framework, a neural network serves as a disentangler of the wave-function, transforming the physical degrees of freedom into renormalized …

cn, cz (code pays fourni par la source)

Variational Monte Carlo (VMC) with row-update Projected Entangled-Pair States (PEPS) and its applications in quantum spin glasses

Tao Chen, Jing Liu, Yantao Wu, Pan Zhang et autres

Solving the quantum many-body ground state problem remains a central challenge in computational physics. In this context, the Variational Monte Carlo (VMC) framework based on Projected Entangled Pair States (PEPS) has witnessed rapid development, establishing itself as a vital approach for investigating …

Variational Monte Carlo (VMC) with row-update Projected Entangled-Pair States (PEPS) and its applications in quantum spin glasses

Tao Chen, Jing Liu, Yantao Wu, Pan Zhang et autres

Solving the quantum many-body ground state problem remains a central challenge in computational physics. In this context, the Variational Monte Carlo (VMC) framework based on Projected Entangled Pair States (PEPS) has witnessed rapid development, establishing itself as a vital approach for investigating …

cn (code pays fourni par la source)