A comparative analysis of classical machine learning models with quantum-inspired models for predicting world surface temperature by Trilok Nath Pandey, Vishvajeet Ravalekar, Sidharth D. Nair, Sunil Kumar Pradhan

“…The findings of this study not only help to comprehend the applicability of quantum algorithms in real-world contexts, but they also open the way for future advances in utilizing quantum computing for increased time-series analysis and prediction. …”
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Radial polarization imaging of entangled biphoton state by Jiung Kim, Jeeseong Hwang, Martin Y. Sohn

“…Polarization entanglement of single photons is a key element to enable quantum 2.0 applications, such as quantum computing, quantum networks, and quantum sensing. …”
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Addressing Security Orchestration Challenges in Next-Generation Networks: A Comprehensive Overview by Sadeep Batewela, Pasika Ranaweera, Madhusanka Liyanage, Engin Zeydan, Mika Ylianttila

“…Emerging technologies such as artificial intelligence (AI), blockchain, quantum computing and trusted execution environments (TEE) are also examined for their potential to address these challenges. …”
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Distillable entanglement under dually non-entangling operations by Ludovico Lami, Bartosz Regula

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Hybrid Quantum–Classical Deep Neural Networks Based Smart Contract Vulnerability Detection by Sinan Durgut, Ecir Uğur Küçüksille, Mahmut Tokmak

“…A Hybrid Quantum–Classical Deep Neural Network (HQCDNN) approach was proposed, combining quantum computing principles with classical deep learning methods to identify various vulnerability types, including access control, arithmetic, front-running, reentrancy, time manipulation, denial of service, and unchecked low calls. …”
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Security in Post-Quantum Era: A Comprehensive Survey on Lattice-Based Algorithms by Hien Nguyen, Samsul Huda, Yasuyuki Nogami, Tuy Tan Nguyen

“…Lattice-based post-quantum cryptography (PQC) has attracted significant attention as a promising solution to the security challenges posed by quantum computing. Unlike traditional cryptographic algorithms, lattice-based schemes are expected to remain secure even in the presence of quantum attacks, making them essential for securing future data. …”
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Explainable AI-Driven Quantum Deep Neural Network for Fault Location in DC Microgrids by Amir Hossein Poursaeed, Farhad Namdari

“…The model uses a combination of deep learning and quantum computing techniques to extract features and improve accuracy. …”
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Q-Pandora Unboxed: Characterizing Resilience of Quantum Error Correction Codes Under Biased Noise by Avimita Chatterjee, Subrata Das, Swaroop Ghosh

“…Quantum error correction codes (QECCs) are essential for reliable quantum computing as they protect quantum states against noise and errors. …”
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Kyber, Saber, and SK-MLWR Lattice-Based Key Encapsulation Mechanisms Model Checking with Maude by Duong Dinh Tran, Kazuhiro Ogata, Santiago Escobar, Sedat Akleylek, Ayoub Otmani

“…Facing the potential threat raised by quantum computing, a great deal of research from many groups and industrial giants has gone into building public-key post-quantum cryptographic primitives that are resistant to the quantum attackers. …”
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Far from Perfect: Quantum Error Correction with (Hyperinvariant) Evenbly Codes by Matthew Steinberg, Junyu Fan, Robert J. Harris, David Elkouss, Sebastian Feld, Alexander Jahn

“…Our work indicates that Evenbly codes may show promise for practical quantum computing applications.…”
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Probing quantum complexity via universal saturation of stabilizer entropies by Tobias Haug, Leandro Aolita, M.S. Kim

“…Nonstabilizerness or `magic' is a key resource for quantum computing and a necessary condition for quantum advantage. …”
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Laser Pulses for Studying Photoactive Spin Centers with EPR by George Mamin, Ekaterina Dmitrieva, Fadis Murzakhanov, Margarita Sadovnikova, Sergey Nagalyuk, Marat Gafurov

“…The application of pulsed laser irradiation influences the EPR relaxation parameters associated with spin centers, which are crucial for advancements in quantum computing. The presented experimental approach facilitates the investigation of weak electron–nuclear interactions in crystals, a key factor in the development of quantum memory utilizing nuclear qubits.…”
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A Review on the Advances, Applications, and Future Prospects of Post-Quantum Cryptography in Blockchain and IoT by Yong Wang, Eddie Shahril Ismail

“…With the advancement of quantum computing, classical public-key cryptosystems are increasingly vulnerable, prompting global standardization efforts by organizations such as NIST, ETSI, and ISO. …”
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A Robust Heuristics for the Online Job Shop Scheduling Problem by Hugo Zupan, Niko Herakovič, Janez Žerovnik

“…The probabilistic rule defines a model which is not unlike the spin glass models that are closely related to quantum computing. Major advances of the approach are the inherent parallelism and its robustness, promising natural and likely successful application to other variations of JSSP. …”
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V3DQutrit a volumetric medical image segmentation based on 3D qutrit optimized modified tensor ring model by Pratishtha Verma, Harish Kumar, Dhirendra Kumar Shukla, Sambit Satpathy, Deema Mohammed Alsekait, Osamah Ibrahim Khalaf, Ala Alzoubi, Basma S. Alqadi, Diaa Salama AbdElminaam, Arvinda Kushwaha, Jagriti Singh

“…This work bridges the gap between quantum computing and medical imaging, offering a scalable solution for real-world applications.…”
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Sharing Privacy Protected and Statistically Sound Clinical Research Data Using Outsourced Data Storage by Geontae Noh, Ji Young Chun, Ik Rae Jeong

“…Since clinical data must remain private beyond a patient’s lifetime, we take advantage of lattice-based homomorphic encryption to guarantee long-term security against quantum computing attacks. Using lattice-based homomorphic encryption, we design an aggregation protocol that aggregates outsourced ciphertexts under distinct public keys. …”
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BeSnake: A Routing Algorithm for Scalable Spin-Qubit Architectures by Nikiforos Paraskevopoulos, Carmen G. Almudever, Sebastian Feld

“…As quantum computing devices increase in size with respect to the number of qubits, two-qubit interactions become more challenging, necessitating innovative and scalable qubit routing solutions. …”
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Bias-field digitized counterdiabatic quantum optimization by Alejandro Gomez Cadavid, Archismita Dalal, Anton Simen, Enrique Solano, Narendra N. Hegade

“…These results mark a significant advancement in gate-based quantum computing, employing a fully quantum algorithmic approach.…”
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Photo-enhanced output in memdiode devices based on hybrid materials by Jacob Lee, Prabir Patra, Xiaojuan Fan

“…The memdiodes are stable with repeatable working values in a bio-applicable range, assuring that the hybrid materials are excellent candidates for potential applications in biomedical electronic circuits, artificial neuromorphic synapses, and brain-inspired quantum computing.…”
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Quantum-Inspired Data Embedding for Unlabeled Data in Sparse Environments: A Theoretical Framework for Improved Semi-Supervised Learning without Hardware Dependence by Shawn Ray

“…This research marks a significant stride in integrating quantum theoretical principles with classical machine learning, broadening the scope of data representation and semi-supervised learning while circumventing the technological barriers of quantum computing infrastructure.…”
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