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Quantum phase detection generalization from marginal quantum neural network models

Saverio Monaco ^1,2,*, Oriel Kiss ^1,3,*, Antonio Mandarino ^4,†, Sofia Vallecorsa ¹, and Michele Grossi ^1,‡

¹European Organization for Nuclear Research (CERN), Geneva 1211, Switzerland
²Department of Physics, University of Padova, 35122 Padova PD, Italy
³Department of Particle and Nuclear Physics, University of Geneva, Geneva 1211, Switzerland
⁴International Centre for Theory of Quantum Technologies, University of Gdańsk, Jana Bażyńskiego 1A, 80-309 Gdańsk, Poland

^*These authors contributed equally to this work.
^†antonio.mandarino@ug.edu.pl
^‡michele.grossi@cern.ch

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Articles Citing

Quantum phase detection generalization from marginal quantum neural network models

Quantum phase classification via partial tomography-based quantum hypothesis testing

Decrypting chaotic visual ciphers via quasi quantum neural networks (Q²NNs)

Resource-efficient equivariant quantum convolutional neural networks

Quantum phases classification using quantum machine learning with SHAP-driven feature selection

Order Parameter Discovery for Quantum Many-Body Systems

Quantum Convolutional Neural Networks are Effectively Classically Simulable

Quantum data learning of topological-to-ferromagnetic phase transitions in the 2+1D toric code loop gas model

Geometric quantum machine learning for barcode similarity classification

A Novel Bat Algorithm-Optimized Quantum Neural Network-Based MPPT Techniques for Enhanced Photovoltaic in Grid Connected System Performance

Unsupervised learning to recognize quantum phases of matter

Ground state-based quantum feature maps

Identifying Dynamical Quantum Phase Transitions With a Migratable Quantum‐Classical Hybrid Neural Network

No title available

Quantum neural network-based compensation of distorted orbital angular momentum beams in complex media

Permutation-equivariant quantum convolutional neural networks

Learning to classify quantum phases of matter with a few measurements

Quantum Classical Algorithm for the Study of Phase Transitions in the Hubbard Model via Dynamical Mean-Field Theory

Effective detection of quantum discord by using convolutional neural networks

Early Fault-Tolerant Quantum Algorithms in Practice: Application to Ground-State Energy Estimation

Quantum error mitigation for Fourier moment computation

Numerically efficient unitary evolution for Hamiltonians beyond nearest neighbors

Interplay between local and non-local frustration in the 1D ANNNI chain: I. The even case

An Interpretable Quantum Adjoint Convolutional Layer for Image Classification

Quantum computing for space applications: a selective review and perspectives

Topological and geometrical signatures of computation in rate, spiking, and oscillatory neural reservoirs

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