Towards virtual painting recolouring using vision transformer on x-ray fluorescence datacubes by Alessandro Bombini, Fernando García-Avello Bofías, Francesca Giambi, Chiara Ruberto

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Hybrid Renewable Energy Systems—A Review of Optimization Approaches and Future Challenges by Akvile Giedraityte, Sigitas Rimkevicius, Mantas Marciukaitis, Virginijus Radziukynas, Rimantas Bakas

“…HRES configurations for cost-effectiveness, environmental sustainability, and operational reliability while also emphasizing the transformative potential of emerging technologies such as quantum computing are underscored. This review provides critical insights into the evolving landscape of HRES optimization, offering actionable recommendations for future research and practical applications in achieving global energy sustainability goals.…”
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QuantumNet: An enhanced diabetic retinopathy detection model using classical deep learning-quantum transfer learning by Manish Bali, Ved Prakash Mishra, Anuradha Yenkikar, Diptee Chikmurge

“…While classical deep learning (DL) models like CNNs and ResNet's are widely used, they face resource and accuracy limitations. Quantum computing, leveraging quantum mechanics, offers revolutionary potential for faster problem-solving across fields like cryptography, optimization, and medicine. …”
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Resolução de Problemas de Seleção de Características com Algoritmos Quânticos em Dados Financeiros Reais by Lucas Galvão, Otto Pires, Yan Alef Chagas, Maria Heloísa Fraga, Marcelo A. Moret

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A Fast Rearrangement Method for Defect-Free Atom Arrays by Yuqing Zhang, Zeyan Zhang, Guoqing Zhang, Zhehua Zhang, Yanpu Chen, Yuqing Li, Wenliang Liu, Jizhou Wu, Vladimir Sovkov, Jie Ma

“…Defect-free atom arrays provide new possibilities for exploring exotic quantum phenomena and realizing quantum computing. However, quickly and efficiently preparing defect-free atom arrays poses challenges. …”
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QUIRCY: QUantum Integrated ResilienCY for Power Systems by Umar T. Salman, Zongjie Wang, Timothy M. Hansen

“…These results highlight the significant promise of quantum computing approaches for improving power system resilience, particularly as advancements in noisy intermediate-scale quantum (NISQ) technology continue to evolve.…”
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Computer-Aided Quantum Algorithms for Real-Time Energy Market Trading by Jinghui Wu, Wenjun Zhu, Yun Xu, Kangan Shu, Wei Yang

“…The significance of this study lies in its contribution to advancing real-time trading strategy optimization through the synergistic use of machine learning and quantum computing. This approach offers potential applications across various financial sectors and domains requiring sophisticated real-time decision-making and optimization. …”
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Optimized memory allocation in edge-PLCs using Deep Q-Networks and bidirectional LSTM with Quantum Genetic Algorithm by N. Naveen Kumar, S. Saravana, S. Balamurugan, P. Seshu Kumar, S. Suresh

“…By leveraging principles of quantum computing, this optimization algorithm explores the solution space more efficiently, allowing for faster convergence and improved performance. …”
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Application of Quantum Key Distribution to Enhance Data Security in Agrotechnical Monitoring Systems Using UAVs by Makhabbat Bakyt, Luigi La Spada, Nida Zeeshan, Khuralay Moldamurat, Sabyrzhan Atanov

“…Ensuring secure data transmission in agrotechnical monitoring systems using unmanned aerial vehicles (UAVs) is critical due to increasing cyber threats, particularly with the advent of quantum computing. This study proposes the integration of Quantum Key Distribution (QKD), based on the BB84 protocol, as a secure key management mechanism to enhance data security in UAV-based geographic information systems (GIS) for monitoring agricultural fields and forest fires. …”
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Multimodal Purcell enhancement and optical coherence of Eu3+ ions in a single nanoparticle coupled to a microcavity by Eichhorn Timon, Jobbitt Nicholas, Bieling Sören, Liu Shuping, Krom Tobias, Serrano Diana, Huber Robert, Lemmer Ulrich, de Riedmatten Hugues, Goldner Philippe, Hunger David

“…Europium-doped nanocrystals constitute a promising material for a scalable future quantum computing platform. Long-lived nuclear spin states could serve as qubits addressed via coherent optical transitions. …”
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Quantum Mechanics MP2 and CASSCF Study of Coordinate Quasi-Double Bonds in Cobalt(II) Complexes as Single Molecule Magnets by Yuemin Liu, Salah S. Massoud, Oleg N. Starovoytov, Tariq Altalhi, Yunxiang Gao, Boris I. Yakobson

“…Co(II) complexes have shown promising applications as single-molecule magnets (SMMs) in quantum computing and structural biology. Deciphering the Co(II) complexes may facilitate the development of SMM materials. …”
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Quantum State Estimation for Real-Time Battery Health Monitoring in Photovoltaic Storage Systems by Dawei Wang, Liyong Wang, Baoqun Zhang, Chang Liu, Yongliang Zhao, Shanna Luo, Jun Feng

“…This study introduces a novel paradigm in degradation-aware energy management, highlighting the potential of quantum computing to enhance both the sustainability and real-time control of renewable energy systems.…”
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Passive demultiplexed two-photon state generation from a quantum dot by Yusuf Karli, Iker Avila Arenas, Christian Schimpf, Ailton Jose Garcia Junior, Santanu Manna, Florian Kappe, René Schwarz, Gabriel Undeutsch, Maximilian Aigner, Melina Peter, Saimon F. Covre da Silva, Armando Rastelli, Gregor Weihs, Vikas Remesh

“…Abstract High-purity multi-photon states are essential for photonic quantum computing. Among existing platforms, semiconductor quantum dots offer a promising route to scalable and deterministic multi-photon state generation. …”
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Dual-mode calorimetric superconducting nanowire single photon detectors by Hsin-Yeh Wu, Marc Besançon, Jia-Wern Chen, Pisin Chen, Jean-François Glicenstein, Shu-Xiao Liu, Yu-Jung Lu, Xavier-François Navick, Stathes Paganis, Boris Tuchming, Dimitra Tsionou, Feng-Yang Tsai

“…Dual-mode SNSPDs, in addition to providing solutions in applications in spectroscopy and calorimetry, where precise timing and energy resolution are required, may also offer significant advancements in high-speed photon-number-resolving detection through their flexible hybrid architecture, driving innovation in optical quantum computing and quantum-source characterization.…”
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Quarter- and half-filled quantum Hall states and their topological orders revealed by daughter states in bilayer graphene by Ravi Kumar, André Haug, Jehyun Kim, Misha Yutushui, Konstantin Khudiakov, Vishal Bhardwaj, Alexey Ilin, K. Watanabe, T. Taniguchi, David F. Mross, Yuval Ronen

“…Abstract Even-denominator fractional quantum Hall states are promising candidates for fault-tolerant quantum computing due to their underlying non-Abelian topological order. …”
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Challenge of the performance management of trust control systems with deep learning by A. A. Zelensky, T. K. Abdullin, M. M. Zhdanova, V. V. Voronin, A. A. Gribkov

“…The technical implementation of artificial neural systems with deep machine learning is based on the use of one of three basic technologies: high performance computing (HPC) with parallel data processing, neuromorphic computing (NC), and quantum computing (QC).Results. Implementation models for deep machine learning, basic technologies and architecture of computing machines, as well as requirements for trust assurance in control systems using deep machine learning are analyzed. …”
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Optimized Distribution of Entanglement Graph States in Quantum Networks by Xiaojie Fan, Caitao Zhan, Himanshu Gupta, C. R. Ramakrishnan

“…Building large-scale quantum computers, essential to demonstrating quantum advantage, is a key challenge. …”
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Enhancing Security and Authenticity in Immersive Environments by Rebecca Acheampong, Dorin-Mircea Popovici, Titus Balan, Alexandre Rekeraho, Manuel Soto Ramos

“…While the system currently employs RSA, which may be vulnerable to quantum computing in the future, its modular design ensures crypto-agility, allowing for the integration of quantum-resistant algorithms as needed. …”
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Impact of Surface Roughness on Consistent Resonator Performance by Senthil Kumar Karuppannan, Naga Manikanta Kommanaboina, Adrian Nugraha Utama, Manas Mukherjee

“…Abstract Superconducting circuit‐based quantum processors are leading platforms for quantum computing. In these circuits, microwave photons are stored as qubits in ultra‐low‐loss planar resonators and non‐linear inductors formed by Josephson junctions. …”
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Developing Explainable Artificial Intelligence Models for Space Science Applications by Ambuj Kumar Agarwal, Rajat Bhardwaj, Gyanendra Tiwary, Abeer A. Aljohani, Ruchi Kawatra, Abhijit Das

“…Integrating XAI, human–AI collaboration, NLP advancements, and quantum computing is a key trend in space exploration.…”
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