Image de couverture de livre

Quantum Extremal Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Varsamopoulos, Savvas, Philip, Evan, van Vlijmen, Herman W. T., Menon, Sairam, Vos, Ann, Dyubankova, Natalia, Torfs, Bert, Rowe, Anthony, Elfving, Vincent E.
Format:	Preprint
Publié:	2022
Sujets:	Quantum Physics Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Inductive Graph Representation Learning with Quantum Graph Neural Networks
par: Faria, Arthur M., et autres
Publié: (2025)

Quantum Graph Attention Networks: Trainable Quantum Encoders for Inductive Graph Learning
par: Faria, Arthur M., et autres
Publié: (2025)

Experimental differentiation and extremization with analog quantum circuits
par: Philip, Evan, et autres
Publié: (2025)

Materials Discovery With Quantum-Enhanced Machine Learning Algorithms
par: Graña, Ignacio F., et autres
Publié: (2025)

Multidimensional Quantum Generative Modeling by Quantum Hartley Transform
par: Wu, Hsin-Yu, et autres
Publié: (2024)

What can we Learn from Quantum Convolutional Neural Networks?
par: Chukwudubem Umeano, et autres
Publié: (2024)

Protocols for Trainable and Differentiable Quantum Generative Modelling
par: Kyriienko, Oleksandr, et autres
Publié: (2022)

Conservative quantum offline model-based optimization
par: Sotirov, Kristian, et autres
Publié: (2025)

The Impact of Hardware Specifications on Reaching Quantum Advantage in the Fault Tolerant Regime
par: Webber, Mark, et autres
Publié: (2021)

Evaluation of derivatives using approximate generalized parameter shift rule
par: Abramavicius, Vytautas, et autres
Publié: (2025)

Geometric quantum machine learning of BQP$^A$ protocols and latent graph classifiers
par: Umeano, Chukwudubem, et autres
Publié: (2024)

Let Quantum Neural Networks Choose Their Own Frequencies
par: Jaderberg, Ben, et autres
Publié: (2023)

Quantum Iterative Methods for Solving Differential Equations with Application to Computational Fluid Dynamics
par: Williams, Chelsea A., et autres
Publié: (2024)

What can we learn from quantum convolutional neural networks?
par: Umeano, Chukwudubem, et autres
Publié: (2023)

Variational protocols for emulating digital gates using analog control with always-on interactions
par: Chevallier, Claire, et autres
Publié: (2024)

A Patient‐Derived 3D Cyst Model of Polycystic Kidney Disease That Mimics Disease Development and Responds to Repurposing Candidates
par: Alina Meyer, et autres
Publié: (2025)

Stateless Quantum Structures and Extremal Graph Theory
par: Voracek, Vaclav
Publié: (2024)

Quantum Extremal Surfaces and the Holographic Entropy Cone
par: Akers, Chris, et autres
Publié: (2021)

Potential of quantum scientific machine learning applied to weather modelling
par: Jaderberg, Ben, et autres
Publié: (2024)

Extremal Maximal Entanglement
par: Zhang, Wanchen, et autres
Publié: (2024)

Extremal Tsirelson inequalities
par: Barizien, Victor, et autres
Publié: (2024)

PulserDiff: a pulse differentiable extension for Pulser
par: Abramavicius, Vytautas, et autres
Publié: (2025)

Forrelation is Extremally Hard
par: Girish, Uma, et autres
Publié: (2025)

Quantum Corrections and Extremality: A Generalized Universal Relation
par: Anand, Ankit
Publié: (2025)

Operator Spaces, Linear Logic and the Heisenberg-Schrödinger Duality of Quantum Theory
par: Lindenhovius, Bert, et autres
Publié: (2025)

Efficient Classical Simulation of the DQC1 Circuit with Zero Discord
par: Jose, Shalin, et autres
Publié: (2024)

Quantum algorithm for solving nonlinear differential equations based on physics-informed effective Hamiltonians
par: Wu, Hsin-Yu, et autres
Publié: (2025)

Graph Algorithms with Neutral Atom Quantum Processors
par: Dalyac, Constantin, et autres
Publié: (2024)

Extremal Black Hole Decay in de Sitter Space
par: Aalsma, Lars, et autres
Publié: (2023)

Extremal Black Hole Weather
par: Iuliano, Claudio, et autres
Publié: (2024)

Unified Light-Matter Floquet Theory and its Application to Quantum Communication
par: Engelhardt, Georg, et autres
Publié: (2022)

Quantum-Enhanced Neural Exchange-Correlation Functionals
par: Sokolov, Igor O., et autres
Publié: (2024)

Extremality of stabilizer states
par: Bu, Kaifeng
Publié: (2024)

Quantum algorithms based on quantum trajectories
par: Borras, Evan, et autres
Publié: (2025)

Quantum Convolutional Neural Networks for Multi-Channel Supervised Learning
par: Smaldone, Anthony M., et autres
Publié: (2023)

Efficient Quantum Circuit Design with a Standard Cell Approach, with an Application to Neutral Atom Quantum Computers
par: Dobbs, Evan E., et autres
Publié: (2022)

A Vlasov-Bohm approach to Quantum Mechanics for statistical systems
par: Grande, Pedro Luis, et autres
Publié: (2025)

A note on the bulk interpretation of the Quantum Extremal Surface formula
par: Wong, Gabriel
Publié: (2022)

Impact of Topology on Multipartite Entanglement Distribution Protocols in Quantum Networks
par: Ooi, Jazz E. Z., et autres
Publié: (2026)

Fidelity-Aware Multipath Routing for Multipartite State Distribution in Quantum Networks
par: Sutcliffe, Evan, et autres
Publié: (2025)