Cover Image

Predictive control of blast furnace temperature in steelmaking with hybrid depth-infused quantum neural networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Nayoung, Shin, Minsoo, Sagingalieva, Asel, Senokosov, Arsenii, Anoshin, Matvei, Tripathi, Ayush Joshi, Pinto, Karan, Melnikov, Alexey
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-stream physics hybrid networks for solving Navier-Stokes equations
by: Sedykh, Aleksandr, et al.
Published: (2025)

Hybrid quantum recurrent neural network for remaining useful life prediction
by: Tsurkan, Olga, et al.
Published: (2025)

Photovoltaic power forecasting using quantum machine learning
by: Sagingalieva, Asel, et al.
Published: (2023)

Quantum machine learning for image classification
by: Senokosov, Arsenii, et al.
Published: (2023)

Hybrid quantum cycle generative adversarial network for small molecule generation
by: Anoshin, Matvei, et al.
Published: (2023)

Hybrid quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes
by: Sedykh, Alexandr, et al.
Published: (2023)

Hybrid Fourier Neural Operator for Surrogate Modeling of Laser Processing with a Quantum-Circuit Mixer
by: Papierz, Mateusz, et al.
Published: (2026)

A Fast and Generalizable Fourier Neural Operator-Based Surrogate for Melt-Pool Prediction in Laser Processing
by: Benoit, Alix, et al.
Published: (2026)

Method for noise-induced regularization in quantum neural networks
by: Kuzmin, Viacheslav, et al.
Published: (2024)

Stabilization of industrial processes with time series machine learning
by: Anoshin, Matvei, et al.
Published: (2025)

Effect of FeO on the network structure and crystallization behavior of the blast furnace slag/basic oxygen furnace slag glass‐ceramics
by: Feixu Chen, et al.
Published: (2025)

Hybrid quantum image classification and federated learning for hepatic steatosis diagnosis
by: Lusnig, Luca, et al.
Published: (2023)

Forecasting steam mass flow in power plants using the parallel hybrid network
by: Kurkin, Andrii, et al.
Published: (2023)

Use of blast furnace dust to improve the properties of granular material for pavements
by: Ricardo Ochoa-Díaz
Published: (2021)

Denoising by neural network for muzzle blast detection
by: Pujol, Hadrien, et al.
Published: (2025)

Multi-objective optimization and quantum hybridization of equivariant deep learning interatomic potentials on organic and inorganic compounds
by: Laskaris, G., et al.
Published: (2026)

Synergistic effects in ground granulated blast furnace slag‒steel slag‐based geopolymer
by: Suxi Wang, et al.
Published: (2025)

Use of BOF slag and blast furnace dust in asphalt concrete: an alternative for the construction of pavements
by: Alfonso López-Díaz
Published: (2018)

Bond performance of steel bars and concrete using granulated blast furnace slag as fine aggregates
by: Xiaoming Zhao, et al.
Published: (2025)

Fault diagnosis for blast furnace ironmaking process based on randomized local fisher discriminant analysis
by: Jiawei Zhou, et al.
Published: (2024)

Hidden $Z_{2}\times Z_{2}$ subspace symmetry protection for quantum scars
by: Sharma, Ayush, et al.
Published: (2026)

In situ USAXS/SAXS/WAXD investigation of early hydration of NaOH activated blast furnace slag
by: Marcello Mutti, et al.
Published: (2025)

Noise-adaptive hybrid quantum convolutional neural networks based on depth-stratified feature extraction
by: Kim, Taehyun, et al.
Published: (2026)

Seismic inversion using hybrid quantum neural networks
by: Vashisth, Divakar, et al.
Published: (2025)

Chapter 11 The power of apricot
by: Murzakulova, Asel
Published: (2023)

The time scale of nomadic steelmaking from molten cast iron
by: Jang‐Sik Park
Published: (2024)

Alkali-activated concretes based on fly ash and blast furnace slag: Compressive strength, water absorption and chloride permeability
by: Daniela E. Angulo-Ramírez
Published: (2020)

Superposed parameterised quantum circuits
by: Patapovich, Viktoria, et al.
Published: (2025)

Determination of the oxidation depths of ground granulated blast furnace slag‐containing cement pastes using Mn K‐edge X‐ray absorption near‐edge structure spectroscopy
by: Luís U. D. Tambara, et al.
Published: (2025)

Experimental and numerical study on the influence of extra-depth on cut blasting post-blast damage
by: Zheng, Changda, et al.
Published: (2025)

Quantum skyrmion dynamics studied by neural network quantum states
by: Joshi, Ashish, et al.
Published: (2024)

Learnable quantum spectral filters for hybrid graph neural networks
by: Daskin, Ammar
Published: (2025)

Development and characterization of waterproofing flexible mortar incorporating partially cured geopolymers synthesized from fly ash and blast furnace slag
by: Meltem Ipekci Terzioglu, et al.
Published: (2024)

Post fire behavior of square and rectangular concrete filled steel tubes with granulated blast furnace slag fine aggregate concrete
by: Rakesh Kumar Patra, et al.
Published: (2024)

Model selection in hybrid quantum neural networks with applications to quantum transformer architectures
by: Wadhwa, Harsh, et al.
Published: (2026)

Predicting root numbers with neural networks
by: Pozdnyakov, Alexey
Published: (2024)

Information plane and compression-gnostic feedback in quantum machine learning
by: Haboury, Nathan, et al.
Published: (2024)

An improved Harris hawks optimizer with enhanced logarithmic spiral and dynamic factor and its application for predicting molten iron temperature in the blast furnace
by: Zhendong Liu, et al.
Published: (2024)

Performance and microstructural optimization of sustainable geopolymer mortars using fly ash, ground granulated blast furnace slag, and rice husk ash
by: Thatikonda Naresh, et al.
Published: (2025)

Dynamical transition in controllable quantum neural networks with large depth
by: Zhang, Bingzhi, et al.
Published: (2023)