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Effect of rare earth elements on the segregation behavior and microstructure of super austenitic stainless steel

Yue Zhang, Jun Xiao, Juhua Liang, Wei Pei et al. • Journal of Materials Research and Technology (2022)

Super austenitic stainless steel (SASS) was prepared by non-consumable vacuum arc melting for the first time. The effects of rare earth (RE) elements on its solidification microstructure and segregation behavior were investigated. The σ pha...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jmrt.2022.04.120

Phase prediction, microstructure and high hardness of novel light-weight high entropy alloys

Jon Mikel Sanchez, Iban Vicario, Joseba Albizuri, Teresa Guraya et al. • Journal of Materials Research and Technology (2019)

Guided by CALPHAD modeling, low-density and multiphase three novel High Entropy Alloys (HEAs), Al40Cu15Cr15Fe15Si15, Al65Cu5Cr5Si15Mn5Ti5 and Al60Cu10Fe10Cr5Mn5Ni5Mg5 were produced by large scale vacuum die casting. A mixture of simple and ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jmrt.2018.06.010

Multi-target quantum compilation algorithm

Vu Tuan Hai, Nguyen Tan Viet, Jesus Urbaneja, Nguyen Vu Linh et al. • Machine Learning: Science and Technology (2024)

Quantum compilation is the process of converting a target unitary operation into a trainable unitary represented by a quantum circuit. It has a wide range of applications, including gate optimization, quantum-assisted compiling, quantum sta...

DOAJ Open Access (DOAJ) DOI: 10.1088/2632-2153/ad9705

Collective dynamics in holographic fractonic solids

Ling-Zheng Xia, Lixin Xu, Wei-Jia Li • Journal of High Energy Physics (2026)

Abstract Fractonic phases of matter, a class of states in which collective excitations with constrained mobility exist, were originally discovered in the study of quantum error-correcting codes in solvable lattice spin models such as Haah’s...

DOAJ Open Access (DOAJ) DOI: 10.1007/JHEP02(2026)089

An introduction to Bayesian simulation-based inference for quantum machine learning with examples

Ivana Nikoloska, Osvaldo Simeone • Frontiers in Quantum Science and Technology (2024)

Simulation is an indispensable tool in both engineering and the sciences. In simulation-based modeling, a parametric simulator is adopted as a mechanistic model of a physical system. The problem of designing algorithms that optimize the sim...

DOAJ Open Access (DOAJ) DOI: 10.3389/frqst.2024.1394533

Evolution of Quantum Computing: A Systematic Survey on the Use of Quantum Computing Tools

Paramita Basak Upama, Md Jobair Hossain Faruk, Mohammad Taneem Bin Nazim, Mohammad Masum et al. • IEEE Annual International Computer Software and Applications Conference (COMPSAC) (2022)

Quantum Computing (QC) refers to an emerging paradigm that inherits and builds with the concepts and phenomena of Quantum Mechanic (QM) with the significant potential to unlock a remarkable opportunity to solve complex and computationally i...

OPENALEX Open Access DOI: https://doi.org/10.1109/compsac54236.2022.00096

Quantum computing and the entanglement frontier

John P. Preskill • arXiv (Cornell University) (2012)

Quantum information science explores the frontier of highly complex quantum states, the "entanglement frontier." This study is motivated by the observation (widely believed but unproven) that classical systems cannot simulate highly entangl...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1203.5813

Present landscape of quantum computing

Vikas Hassija, Vinay Chamola, Vikas Saxena, Vaibhav Chanana et al. • IET Quantum Communication (2020)

Quantum computing is currently a topic of interest that harnesses the phenomena of quantum mechanics. It can address several scientific challenges and generate new business opportunities. Recently, for the first time in the history of quant...

OPENALEX cc-by-nc DOI: https://doi.org/10.1049/iet-qtc.2020.0027

The future of quantum computing with superconducting qubits

Sergey B. Bravyi, Oliver Dial, Jay Gambetta, Darı́o Gil et al. • Journal of Applied Physics (2022)

For the first time in history, we are seeing a branching point in computing paradigms with the emergence of quantum processing units (QPUs). Extracting the full potential of computation and realizing quantum algorithms with a super-polynomi...

OPENALEX Open Access DOI: https://doi.org/10.1063/5.0082975

ℤ<sub>2</sub> × ℤ<sub>2</sub> Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks

Zhongtian Dong, Marçal Comajoan Cara, Gopal Ramesh Dahale, Roy T. Forestano et al. • Axioms (2024)

This paper presents a comparative analysis of the performance of Equivariant Quantum Neural Networks (EQNNs) and Quantum Neural Networks (QNNs), juxtaposed against their classical counterparts: Equivariant Neural Networks (ENNs) and Deep Ne...

DOAJ Open Access (DOAJ) DOI: 10.3390/axioms13030188

Cosmic muon flux attenuation methods for superconducting qubit experiments

Elia Bertoldo, Victor Pérez Sánchez, Maria Martínez, Manel Martínez et al. • New Journal of Physics (2025)

We propose and demonstrate two practical mitigation methods to attenuate the cosmic muon flux, compatible with experiments involving superconducting qubits: shallow underground sites and device orientation. Using a specifically-built cosmic...

DOAJ Open Access (DOAJ) DOI: 10.1088/1367-2630/adaedc