Quick design of feasible tensor networks for constrained combinatorial optimization by Hyakka Nakada, Kotaro Tanahashi, Shu Tanaka

“…Quantum computers are expected to enable fast solving of large-scale combinatorial optimization problems. …”
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Preparing Schrödinger Cat States in a Microwave Cavity Using a Neural Network by Hector Hutin, Pavlo Bilous, Chengzhi Ye, Sepideh Abdollahi, Loris Cros, Tom Dvir, Tirth Shah, Yonatan Cohen, Audrey Bienfait, Florian Marquardt, Benjamin Huard

“…Scaling up quantum computing devices requires solving ever more complex quantum control tasks. …”
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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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Benchmarking TCL4: Assessing the usability and reliability of fourth-order approximations by Jiahao Chen, Elyana Crowder, Lian Xiang, Dragomir Davidovic

“…Due to the significant computational effort involved—and the scarcity of analytical solutions for most open quantum systems—the fourth-order perturbative TCL generator (TCL4) has only been benchmarked on a limited range of systems and parameter spaces. …”
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Low-overhead defect-adaptive surface code with bandage-like super-stabilizers by Zuolin Wei, Tan He, Yangsen Ye, Dachao Wu, Yiming Zhang, Youwei Zhao, Weiping Lin, He-Liang Huang, Xiaobo Zhu, Jian-Wei Pan

“…Our work presents a low-overhead, automated solution to the challenge of adapting the surface code to defects, an essential step towards scaling up the construction of large-scale quantum computers for practical applications.…”
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Revolutionizing the future of hydrological science: Impact of machine learning and deep learning amidst emerging explainable AI and transfer learning by Rajib Maity, Aman Srivastava, Subharthi Sarkar, Mohd Imran Khan

“…The review also addresses persistent challenges, including data limitations, computational demands, and model interpretability, proposing solutions that integrate emerging technologies like quantum computing, the Internet of Things (IoT), and interdisciplinary collaboration. …”
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A multiscale approach to modelling drug metabolism by membrane-bound cytochrome P450 enzymes. by Richard Lonsdale, Sarah L Rouse, Mark S P Sansom, Adrian J Mulholland

“…Calculations have also been performed on the soluble form of the enzyme in aqueous solution. Important differences are observed between the membrane and solution systems, most notably for the gating residues and channels that control access to the active site. …”
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A new concept of q-calculus with respect to another function by Shrinath Manjarekar, Hossein Jafari

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Enhancing transferability of machine learning-based polarizability models in condensed-phase systems via atomic polarizability constraint by Mandi Fang, Yinqiao Zhang, Zheyong Fan, Daquan Tan, Xiaoyong Cao, Chunlei Wei, Nan Xu, Yi He

“…Abstract Accurate prediction of molecular polarizability is essential for understanding electrical, optical, and dielectric properties of materials. Traditional quantum mechanical (QM) methods, though precise for small systems, are computationally prohibitive for large-scale systems. …”
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Optimal Trajectory Planning for Minimizing Base Disturbance of a Redundant Space Robot with IQPSO by Jianxia Zhang, Fuchao Yang, Guanghua Nie, Jianxin Zhang

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Emerging Technologies Driving Zero Trust Maturity Across Industries by Hrishikesh Joshi

“…As organizations grapple with increasingly complex threats, the integration of innovative technologies with Zero Trust principles offers both promising solutions and new challenges. The research investigates how artificial intelligence, machine learning, blockchain, quantum computing, and cloud/edge technologies are reshaping the implementation and efficacy of Zero Trust architectures. …”
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Bibliometric Analysis and Overview of Matrix Product States in the Bose-Hubbard Model by Juan Sebastián Gómez, Karen Cecilia Rodríguez

“…Results: The increasing number of publications on this topic over the last decade indicates a growing interest in solutions for many-body quantum systems, driven by promising advances in superconductive materials, quantum computing, and other impactful areas. …”
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DynBlock: dynamic data encryption with Toffoli gate for IoT by Mubasher Haq, Ijaz Ali Shoukat, Alamgir Naushad, Mohsin Raza Jafri, Moid Sandhu, Abd Ullah Khan, Hyundong Shin

“…Abstract The emergence of 6G networks, coupled with the expansion of smart devices, necessitates robust and efficient cryptography solutions to ensure secure communication. However, the existing resource-constrained cryptography solutions that rely on static permutation, substitution methods, variable key sizes, and fixed block size are vulnerable to quantum computing-based cryptanalysis and side-channel attacks. …”
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Unlocking financial innovation through strategic investments in information management: a systematic review by Askar Garad, Hosam Alden Riyadh, Abdullah M. Al-Ansi, Baligh Ali Hasan Beshr

“…AI and ML improve predictive analytics and customer personalization, Blockchain ensures secure transactions and transparency, Big Data Analytics enables data-driven decision-making, and Cloud Computing provides scalable solutions. LLMs enhance natural language processing capabilities, RPA automates repetitive tasks, IoT facilitates real-time monitoring, Cybersecurity Technologies protect financial data, and Quantum Computing offers potential breakthroughs in financial modeling and encryption. …”
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Harmony Search Algorithm with Two Problem-Specific Operators for Solving Nonogram Puzzle by Geonhee Lee, Zong Woo Geem

“…The authors think that the nonogram puzzle can be a good benchmark problem for quantum computing-based optimization in the future, and the proposed HS algorithm can also be combined with quantum computing mechanisms.…”
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A Polycarbonate-Assisted Transfer Method for van der Waals Contacts to Magnetic Two-Dimensional Materials by Kunlin Yang, Guorui Zhao, Yibin Zhao, Jie Xiao, Le Wang, Jiaqi Liu, Wenqing Song, Qing Lan, Tuoyu Zhao, Hai Huang, Jia-Wei Mei, Wu Shi

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The higher dimensional instabilities of AdS in holographic semiclassical gravity by Akihiro Ishibashi, Kengo Maeda, Takashi Okamura

“…We construct asymptotically global AdS and hyperbolic (topological) AdS black hole solutions with non-trivial quantum hair in 4 and 5-dimensions by perturbing the maximally symmetric AdS solutions to the holographic semiclassical equations. …”
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Dynamic Optimization of Recurrent Networks for Wind Speed Prediction on Edge Devices by Laeeq Aslam, Runmin Zou, Ebrahim Shahzad Awan, Sayyed Shahid Hussain, Muhammad Asim, Samia Allaoua Chelloug, Mohammed A. ELAffendi

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Leveraging AI for enhanced cybersecurity: a comprehensive review by Thammisetty Swetha, U. Kumaran, V. P. Meena, Ibrahim A. Hameed

“…The future advances, including the evolution of explainable AI, predictive analytics, quantum computing, and real-time management capabilities, are also emphasized. …”
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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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