Cargando…

Out-of-distribution generalization for learning quantum dynamics

Generalization bounds are a critical tool to assess the training data requirements of Quantum Machine Learning (QML). Recent work has established guarantees for in-distribution generalization of quantum neural networks (QNNs), where training and testing data are drawn from the same data distribution...

Descripción completa

Detalles Bibliográficos
Autores principales:	Caro, Matthias C., Huang, Hsin-Yuan, Ezzell, Nicholas, Gibbs, Joe, Sornborger, Andrew T., Cincio, Lukasz, Coles, Patrick J., Holmes, Zoë
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10322910/ https://www.ncbi.nlm.nih.gov/pubmed/37407571 http://dx.doi.org/10.1038/s41467-023-39381-w

Ejemplares similares

Generalization in quantum machine learning from few training data
por: Caro, Matthias C., et al.
Publicado: (2022)

Variational consistent histories as a hybrid algorithm for quantum foundations
por: Arrasmith, Andrew, et al.
Publicado: (2019)

Cost function dependent barren plateaus in shallow parametrized quantum circuits
por: Cerezo, M., et al.
Publicado: (2021)

Noise-induced barren plateaus in variational quantum algorithms
por: Wang, Samson, et al.
Publicado: (2021)

Quantum Simulation of Tunneling in Small Systems
por: Sornborger, Andrew T.
Publicado: (2012)

Numerical approach for unstructured quantum key distribution
por: Coles, Patrick J., et al.
Publicado: (2016)

Quantum self-consistent equation-of-motion method for computing molecular excitation energies, ionization potentials, and electron affinities on a quantum computer
por: Asthana, Ayush, et al.
Publicado: (2023)

Graded, Dynamically Routable Information Processing with Synfire-Gated Synfire Chains
por: Wang, Zhuo, et al.
Publicado: (2016)

Learning Numerosity Representations with Transformers: Number Generation Tasks and Out-of-Distribution Generalization
por: Boccato, Tommaso, et al.
Publicado: (2021)

General Non-Markovian Quantum Dynamics
por: Tarasov, Vasily E.
Publicado: (2021)

Counterfactual Supervision-Based Information Bottleneck for Out-of-Distribution Generalization
por: Deng, Bin, et al.
Publicado: (2023)

Dynamical entropy of generalized quantum Markov chains
por: Park, Y M
Publicado: (1993)

General practitioners' satisfaction with and attitudes to out-of-hours services
por: van Uden, Caro JT, et al.
Publicado: (2005)

One-out-of-two Quantum Oblivious Transfer based on Nonorthogonal States
por: Chou, Yao-Hsin, et al.
Publicado: (2018)

The distributional properties of exemplars affect category learning and generalization
por: Carvalho, Paulo F., et al.
Publicado: (2021)

Generalized Open Quantum Walks on Apollonian Networks
por: Pawela, Łukasz, et al.
Publicado: (2015)

Workshop on Quantum Fields in and out of Equilibrium
por: Collective
Publicado: (1998)

Author Correction: One-out-of-two Quantum Oblivious Transfer based on Nonorthogonal States
por: Chou, Yao-Hsin, et al.
Publicado: (2019)

International Workshop On Quantum Dynamics In Terms Of Phase-space Distributions
por: Collective
Publicado: (2000)

Mapping Functional Connectivity between Neuronal Ensembles with Larval Zebrafish Transgenic for a Ratiometric Calcium Indicator
por: Tao, Louis, et al.
Publicado: (2011)

A general framework for updating belief distributions
por: Bissiri, P. G., et al.
Publicado: (2016)

Generalization Performance of Quantum Metric Learning Classifiers
por: Kim, Jonathan, et al.
Publicado: (2022)

Simulating of the measurement-device independent quantum key distribution with phase randomized general sources
por: Wang, Qin, et al.
Publicado: (2014)

Continuous-variable source-device-independent quantum key distribution against general attacks
por: Zhang, Yichen, et al.
Publicado: (2020)

5. General lay out
Publicado: (1966)

Quantum cryptography beyond quantum key distribution
por: Broadbent, Anne, et al.
Publicado: (2015)

Mutual Information and Information Gating in Synfire Chains
por: Xiao, Zhuocheng, et al.
Publicado: (2018)

On the general constraints in single qubit quantum process tomography
por: Bhandari, Ramesh, et al.
Publicado: (2016)

20. Tocilizumab: is out of sight really out of mind?
por: Khalid, Salema, et al.
Publicado: (2019)

Quantum Machine Learning for Distributed Quantum Protocols with Local Operations and Noisy Classical Communications
por: Chittoor, Hari Hara Suthan, et al.
Publicado: (2023)

Deep learning of dynamically responsive chemical Hamiltonians with semiempirical quantum mechanics
por: Zhou, Guoqing, et al.
Publicado: (2022)

Dynamical groups and generalized symmetries in quantum theory: with applications in atomic and particle physics
por: Barut, Asim Orhan
Publicado: (1972)

Read-Out of Dynamic Morphogen Gradients on Growing Domains
por: Fried, Patrick, et al.
Publicado: (2015)

Dynamic Group Multi-party Quantum Key Agreement
por: Chou, Yao-Hsin, et al.
Publicado: (2018)

Distributed digital read-out facility
por: CERN. Geneva. Super Proton Synchrotron Division (SPS)
Publicado: (1974)

Semantic enhanced for out-of-distribution detection
por: Jiang, Weijie, et al.
Publicado: (2022)

Trainability barriers and opportunities in quantum generative modeling
por: Rudolph, Manuel S., et al.
Publicado: (2023)

Quantum geometry: a framework for quantum general relativity
por: Prugovecki, Eduard
Publicado: (1992)

Quantum algebras and the generalized uncertainty principle in quantum gravity
por: Maggiore, Michele
Publicado: (1994)

Quantum Obfuscation of Generalized Quantum Power Functions with Coefficient
por: Jiang, Yazhuo, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_4rgsndtsdi0h0vsih2j405280e