Cover Image

Feature-level analysis and adversarial transfer in rotationally equivariant quantum machine learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Krumtünger, Maureen, Sevior, Martin, Usman, Muhammad
Format:	Preprint
Published:	2026
Subjects:	Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Almost fault-tolerant quantum machine learning with drastic overhead reduction
by: Kang, Haiyue, et al.
Published: (2025)

Time-adaptive single-shot crosstalk detector on superconducting quantum computer
by: Kang, Haiyue, et al.
Published: (2025)

Classical shadows over symmetric spaces
by: Chang, Rebecca, et al.
Published: (2026)

Transversal CNOT gate with multi-cycle error correction
by: Kim, Younghun, et al.
Published: (2024)

Magic State Injection on IBM Quantum Processors Above the Distillation Threshold
by: Kim, Younghun, et al.
Published: (2024)

Reinforcement learning of quantum circuit architectures for molecular potential energy curves
by: Krumtünger, Maureen, et al.
Published: (2025)

Quantum Error Correction and Detection for Quantum Machine Learning
by: Adermann, Eromanga, et al.
Published: (2026)

Time-Dynamic Circuits for Fault-Tolerant Shift Automorphisms in Quantum LDPC Codes
by: Kim, Younghun, et al.
Published: (2026)

Provably Trainable Rotationally Equivariant Quantum Machine Learning
by: West, Maxwell T., et al.
Published: (2023)

Non-Clifford Crosstalk Noise in Surface Codes Using Hybrid Stabilizer-Tensor Network Methods
by: Harper, Ben, et al.
Published: (2026)

A graph-theoretic approach to chaos and complexity in quantum systems
by: West, Maxwell, et al.
Published: (2025)

Crosstalk In Contemporary Quantum Devices
by: Gicev, Spiro, et al.
Published: (2026)

Crosstalk Attacks and Defence in a Shared Quantum Computing Environment
by: Harper, Benjamin, et al.
Published: (2024)

GCAMPS: A Scalable Classical Simulator for Qudit Systems
by: Harper, Ben, et al.
Published: (2025)

Stabilizer Tensor Networks with Magic State Injection
by: Nakhl, Azar C., et al.
Published: (2024)

HyQuRP: Hybrid quantum-classical neural network with rotational and permutational equivariance
by: Park, Semin, et al.
Published: (2026)

Practical framework for simulating permutation-equivariant quantum circuits
by: Chang, Su Yeon, et al.
Published: (2026)

Clustering by Contour coreset and variational quantum eigensolver
by: Yung, Canaan, et al.
Published: (2023)

Geometric squeezing of rotating quantum gases into the lowest Landau level
by: Crépel, Valentin, et al.
Published: (2023)

An adversary bound for quantum signal processing
by: Laneve, Lorenzo
Published: (2025)

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

Local surrogates for quantum machine learning
by: Nair, Sreeraj Rajindran, et al.
Published: (2025)

Measurement-based quantum machine learning
by: Calderón, Luis Mantilla, et al.
Published: (2024)

Single-shot quantum machine learning
by: Recio-Armengol, Erik, et al.
Published: (2024)

Quantum Machine Learning
by: Usman, Muhammad
Published: (2025)

Molecular representations of quantum circuits for quantum machine learning
by: Torabian, Elham, et al.
Published: (2025)

Drastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning
by: West, Maxwell T., et al.
Published: (2023)

Reinforcement learning-enhanced protocols for coherent population-transfer in three-level quantum systems
by: Brown, Jonathon, et al.
Published: (2021)

A hardware efficient quantum residual neural network without post-selection
by: Khatun, Amena, et al.
Published: (2026)

Quantum Internet Use Case Analysis for the Automotive Industry
by: van der Enden, K. L., et al.
Published: (2025)

Dissipation-driven quantum generative adversarial networks
by: Wang, He, et al.
Published: (2024)

Calibrating the role of entanglement in variational quantum circuits
by: Nakhl, Azar C., et al.
Published: (2023)

Nanodiamond quantum thermometry assisted with machine learning
by: Yamamoto, Kouki, et al.
Published: (2025)

The power of entanglement in distributed quantum machine learning
by: Kim, Yerim, et al.
Published: (2026)

Encoding molecular structures in quantum machine learning
by: Boy, Choy, et al.
Published: (2025)

A Kerr kernel quantum learning machine
by: Wood, Carolyn, et al.
Published: (2024)

Research progress on quantum neural networks and quantum machine learning
by: Sun, Yifan, et al.
Published: (2026)

Can machine learning for quantum-gas experiments be explainable?
by: Zwolak, I. B. Spielman amd J. P.
Published: (2026)

Black hole/quantum machine learning correspondence
by: Lee, Jae-Weon, et al.
Published: (2025)

Bayesian quantum sensing using graybox machine learning
by: Youssry, Akram, et al.
Published: (2026)