:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Shuwei, Zhou, Shiyu, Liu, Zi-Wen, Yi, Jinmin
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Computational Physics
Online Access:	https://arxiv.org/abs/2503.11783
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Complexity and order in approximate quantum error-correcting codes
by: Yi, Jinmin, et al.
Published: (2023)

Universal quantum phase classification on quantum computers from machine learning
by: Ye, Weicheng, et al.
Published: (2025)

Entanglement area law and Lieb-Schultz-Mattis theorem in long-range interacting systems, and symmetry-enforced long-range entanglement
by: Liu, Ruizhi, et al.
Published: (2024)

Noise robustness and threshold of many-body quantum magic
by: Wei, Fuchuan, et al.
Published: (2024)

Long-range nonstabilizerness and quantum codes, phases, and complexity
by: Wei, Fuchuan, et al.
Published: (2025)

Tessellation codes: encoded quantum gates by geometric rotation
by: Wang, Yixu, et al.
Published: (2024)

Exploring quantum localization with machine learning
by: Montes, J., et al.
Published: (2024)

A local description of strong symmetries and strong-to-weak symmetry breaking in quantum many-body systems
by: Liu, Ruizhi, et al.
Published: (2026)

Intrinsic locality dimension of quantum codes
by: Lu, Yimin, et al.
Published: (2026)

Transversal non-Clifford gates on almost-good quantum LDPC and quantum locally testable codes
by: Li, Yiming, et al.
Published: (2026)

Twisted locality-preserving automorphisms, anomaly index, and generalized Lieb-Schultz-Mattis theorems with anti-unitary symmetries
by: Liu, Ruizhi, et al.
Published: (2025)

Discovering highly efficient low-weight quantum error-correcting codes with reinforcement learning
by: He, Austin Yubo, et al.
Published: (2025)

Variational decision diagrams for quantum-inspired machine learning applications
by: Vargas-Calderón, Vladimir, et al.
Published: (2025)

A review of quantum machine learning and quantum-inspired applied methods to computational fluid dynamics
by: Amaral, Cesar A., et al.
Published: (2025)

Theory of low-weight quantum codes
by: Wei, Fuchuan, et al.
Published: (2026)

No-go theorems for logical gates on product quantum codes
by: Fu, Esther Xiaozhen, et al.
Published: (2025)

Symmetry-invariant quantum machine learning force fields
by: Le, Isabel Nha Minh, et al.
Published: (2023)

Lovász Meets Lieb-Schultz-Mattis: Complexity in Approximate Quantum Error Correction
by: Yi, Jinmin, et al.
Published: (2025)

Memory-enhanced quantum extreme learning machines for characterizing non-Markovian dynamics
by: Assil, Hajar, et al.
Published: (2026)

Parallel hybrid quantum-classical machine learning for kernelized time-series classification
by: Baker, Jack S., et al.
Published: (2023)

Topological quantum color code model on infinite lattice
by: Cao, Shiyu, et al.
Published: (2026)

Ultra-low latency quantum-inspired machine learning predictors implemented on FPGA
by: Borella, Lorenzo, et al.
Published: (2024)

From quantum-enhanced to quantum-inspired Monte Carlo
by: Christmann, Johannes, et al.
Published: (2024)

Convergence efficiency of quantum gates and circuits
by: Kong, Linghang, et al.
Published: (2024)

Machine-learning-inspired quantum control in many-body dynamics
by: Mao, Meng-Yun, et al.
Published: (2024)

Utilizing small quantum computers for machine learning and ground state energy approximation
by: Bilek, Stian
Published: (2024)

A new quantum machine learning algorithm: split hidden quantum Markov model inspired by quantum conditional master equation
by: Li, Xiao-Yu, et al.
Published: (2023)

Quantum memristors for neuromorphic quantum machine learning
by: Lamata, Lucas
Published: (2024)

Noise-resistant adaptive Hamiltonian learning
by: Wang, Wenxuan
Published: (2025)

TeD-Q: a tensor network enhanced distributed hybrid quantum machine learning framework
by: Chen, Yaocheng, et al.
Published: (2023)

Noise mitigation in quantum teleportation
by: Xu, Zi-Jian, et al.
Published: (2024)

Noise-resilient nonadiabatic geometric quantum computation for bosonic binomial codes
by: Li, Dong-Sheng, et al.
Published: (2026)

Noise-adapted qudit codes for amplitude-damping noise
by: Dutta, Sourav, et al.
Published: (2024)

Complete quantum-inspired framework for computational fluid dynamics
by: Peddinti, Raghavendra D., et al.
Published: (2023)

A quantum inspired approach to learning dynamical laws from data -- block-sparsity and gauge-mediated weight sharing
by: Fuksa, J., et al.
Published: (2022)

Universal Decay of Mutual Information and Conditional Mutual Information in Gapped Pure- and Mixed-State Quantum Matter
by: Yi, Jinmin, et al.
Published: (2025)

Probabilistic and approximate universal quantum purification machines
by: del Toro, Zoe G., et al.
Published: (2026)

Large-scale quantum approximate optimization on non-planar graphs with machine learning noise mitigation
by: Sack, Stefan H., et al.
Published: (2023)

Technical report on a quantum-inspired solver for simulating compressible flows
by: Peddinti, Raghavendra Dheeraj, et al.
Published: (2025)

Quantum-inspired activation functions and quantum Chebyshev-polynomial network
by: Li, Shaozhi, et al.
Published: (2024)