Copertina

On the interpretability of neural network decoders

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bödeker, Lukas, Kusters, Luc J. B., Müller, Markus
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Quantum Physics Disordered Systems and Neural Networks
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Optimal storage capacity of quantum Hopfield neural networks
di: Bödeker, Lukas, et al.
Pubblicazione: (2022)

Quantum sequel of neural network training
di: Zhang, Hao, et al.
Pubblicazione: (2025)

Unifying view of fermionic neural network quantum states: From neural network backflow to hidden fermion determinant states
di: Liu, Zejun, et al.
Pubblicazione: (2023)

Adiabatic transport of neural network quantum states
di: Medvidović, Matija, et al.
Pubblicazione: (2025)

Simplicity of mean-field theories in neural quantum states
di: Trigueros, Fabian Ballar, et al.
Pubblicazione: (2023)

Connectivity determines the capability of sparse neural network quantum states
di: Barton, Brandon, et al.
Pubblicazione: (2025)

Reconstructing the Hamiltonian from the local density of states using neural networks
di: Paul, Nisarga, et al.
Pubblicazione: (2025)

Enhanced image classification via hybridizing quantum dynamics with classical neural networks
di: Zhou, Ruiyang, et al.
Pubblicazione: (2025)

Efficiency of neural-network state representations of one-dimensional quantum spin systems
di: Pan, Ruizhi, et al.
Pubblicazione: (2023)

Enhanced quantum sensitivity and coherence of symmetric magnetic clusters
di: Amato, Lorenzo, et al.
Pubblicazione: (2024)

Training the parametric interactions in an analog bosonic quantum neural network with Fock basis measurement
di: Dudas, Julien, et al.
Pubblicazione: (2024)

Characterizing out-of-distribution generalization of neural networks: application to the disordered Su-Schrieffer-Heeger model
di: Cybiński, Kacper, et al.
Pubblicazione: (2024)

Correlated decoding of logical algorithms with transversal gates
di: Cain, Madelyn, et al.
Pubblicazione: (2024)

Bound on entanglement in neural quantum states
di: Paul, Nisarga
Pubblicazione: (2025)

Phases of decodability in the surface code with unitary errors
di: Bao, Yimu, et al.
Pubblicazione: (2024)

Taming the expressiveness of neural-network wave functions for robust convergence to quantum many-body states
di: Jin, Dezhe Z.
Pubblicazione: (2026)

Entanglement and optimization within autoregressive neural quantum states
di: Jreissaty, Andrew, et al.
Pubblicazione: (2025)

Nuclear responses with neural-network quantum states
di: Parnes, Elad, et al.
Pubblicazione: (2025)

Double descent: When do neural quantum states generalize?
di: Moss, M. Schuyler, et al.
Pubblicazione: (2025)

Adaptive-basis sample-based neural diagonalization for quantum many-body systems
di: Cantori, Simone, et al.
Pubblicazione: (2025)

New non-Euclidean neural quantum states from additional types of hyperbolic recurrent neural networks
di: Dao, H. L.
Pubblicazione: (2026)

Percolation thresholds and connectivity in quantum networks
di: De Girolamo, Andrea, et al.
Pubblicazione: (2025)

What can we learn from quantum convolutional neural networks?
di: Umeano, Chukwudubem, et al.
Pubblicazione: (2023)

Continuum field theory of matchgate tensor network ensembles
di: Usoltcev, Maksimilian, et al.
Pubblicazione: (2026)

Neural-network quantum states for many-body physics
di: Medvidović, Matija, et al.
Pubblicazione: (2024)

Convolutional transformer wave functions
di: Chen, Ao, et al.
Pubblicazione: (2025)

Fundamental thresholds for computational and erasure errors via the coherent information
di: Colmenarez, Luis, et al.
Pubblicazione: (2024)

Non-linear classification capability of quantum neural networks due to emergent quantum metastability
di: Boneberg, Mario, et al.
Pubblicazione: (2024)

Neural-network-assisted Monte Carlo sampling trained by Quantum Approximate Optimization Algorithm
di: Nakano, Yuichiro, et al.
Pubblicazione: (2025)

Solving Classical and Quantum Spin Glasses with Deep Boltzmann Quantum States
di: Leone, Luca, et al.
Pubblicazione: (2026)

Limitations of tensor network approaches for optimization and sampling: A comparison to quantum and classical Ising machines
di: Dziubyna, Anna Maria, et al.
Pubblicazione: (2024)

Characterizing dynamical criticality of many-body localization transitions from the Fock-space perspective
di: Sun, Zheng-Hang, et al.
Pubblicazione: (2024)

Dissipative quantum many-body dynamics in (1+1)D quantum cellular automata and quantum neural networks
di: Boneberg, Mario, et al.
Pubblicazione: (2023)

Efficiency of the hidden fermion determinant states Ansatz in the light of different complexity measures
di: Wurst, Björn J., et al.
Pubblicazione: (2024)

Paths towards time evolution with larger neural-network quantum states
di: Zhang, Wenxuan, et al.
Pubblicazione: (2024)

Hyperbolic recurrent neural network as the first type of non-Euclidean neural quantum state ansatz
di: Dao, H. L.
Pubblicazione: (2025)

Solving and visualizing fractional quantum Hall wavefunctions with neural network
di: Teng, Yi, et al.
Pubblicazione: (2024)

Efficient optimization of neural network backflow for ab-initio quantum chemistry
di: Liu, An-Jun, et al.
Pubblicazione: (2025)

Quantum and classical processing with photonic quantum machine learning
di: Carreño, J. C. López, et al.
Pubblicazione: (2026)

Estimating classical mutual information between quantum subsystems with neural networks
di: Konyshev, D. A., et al.
Pubblicazione: (2025)