Numerical optimization by the PFEMCT-SIF method of the crack propagation of a linear elastic material by Mohammed Bentahar, Noureddine Mahmoudi, Youcef Moulai Arbi

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Scalable circuit depth reduction in feedback-based quantum optimization with a quadratic approximation by Don Arai, Ken N. Okada, Yuichiro Nakano, Kosuke Mitarai, Keisuke Fujii

“…Combinatorial optimization problems are one of the areas where near-term noisy quantum computers may have practical advantage against classical computers. …”
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Implementing semiclassical Szegedy walks in classical-quantum circuits for homomorphic encryption by Sergio A Ortega, Pablo Fernández, Miguel A Martin-Delgado

“…This work delves into quantum homomorphic encryption (QHE), an emerging technology that facilitates secure computation on encrypted quantum data without revealing the underlying information. …”
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Dynamic, symmetry-preserving, and hardware-adaptable circuits for quantum computing many-body states and correlators of the Anderson impurity model by Eric B. Jones, Cody James Winkleblack, Colin Campbell, Caleb Rotello, Edward D. Dahl, Matthew Reynolds, Peter Graf, Wesley Jones

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Computational Analysis of Self-Healing in Nanomaterials Using Neural Spike Algorithms by Jongho Seol, Jongyeop Kim, Abhilash Kancharla

“…Simulations reveal that neuronal spike patterns significantly influence self-healing dynamics, exhibiting non-linear behavior with quantum effects crucial to healing efficiency. …”
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Predictive modelling of graphene-enhanced greases using classical feedback control and quantum kernel regression by Ethan Stefan-Henningsen, Amirkianoosh Kiani

“…Collectively, these results confirm the viability of advanced computational tools, both classical and quantum, for rapid, data-driven lubricant assessments. …”
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Efficient quantum circuit research and implementation for 16-bit S-boxes based on composite field by Lei Zhang, Guoyuan Li, Jingchen Dai, Ruipeng Hong, Chaoen Xiao, Jianxin Wang, Yifan Zhang

“…Abstract With the development of quantum computing technology, efficiently implementing the core component S-box of block ciphers in quantum environments has become an important research direction in the field of cryptographic engineering. …”
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Post-Quantum Cryptography Resilience in Telehealth Using Quantum Key Distribution by Don Roosan, Rubayat Khan, Saif Nirzhor, Fahmida Hai

“…Context The study proposes and evaluates a novel cybersecurity architecture for telehealth, resilient against future quantum computing cyber threats. By integrating Post-Quantum Cryptography (PQC) with Quantum Key Distribution (QKD) and privacy-preserving mechanisms, data confidentiality and immutability for patient records in a post-quantum era are ensured. …”
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Optimized Pseudo Random Bit Generator in QCA Technology by Pezhman Kiani Vosta, Mohammad Gholami, Amard Afzalian

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Secret Key Rates and Optimization of BB84 and Decoy State Protocols Over Time-Varying Free-Space Optical Channels by Xiaole Sun, Ivan B. Djordjevic, Mark A. Neifeld

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A New Hyperparameter Tuning Framework for Regression Tasks in Deep Neural Network: Combined-Sampling Algorithm to Search the Optimized Hyperparameters by Nguyen Huu Tiep, Hae-Yong Jeong, Kyung-Doo Kim, Nguyen Xuan Mung, Nhu-Ngoc Dao, Hoai-Nam Tran, Van-Khanh Hoang, Nguyen Ngoc Anh, Mai The Vu

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Compact quantum algorithms for time-dependent differential equations by Sachin S. Bharadwaj, Katepalli R. Sreenivasan

“…Many claims of computational advantages have been made for quantum computing over classical but they have not been demonstrated for practical problems. …”
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Unbounded quantum advantage in communication with minimal input scaling by Sumit Rout, Nitica Sakharwade, Some Sankar Bhattacharya, Ravishankar Ramanathan, Paweł Horodecki

“…Here we answer this question affirmatively using an input size of optimal order. Considering two variants as tasks: (1) distributed computation of relation and (2) relation reconstruction, we study the one-way zero-error communication complexity of a relation induced by a distributed clique labeling problem for orthogonality graphs. …”
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Learning Quantum States and Unitaries of Bounded Gate Complexity by Haimeng Zhao, Laura Lewis, Ishaan Kannan, Yihui Quek, Hsin-Yuan Huang, Matthias C. Caro

“…We also prove that the optimal query complexity to learn a unitary generated by G gates to a small average-case error scales linearly in G. …”
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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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Variational approach to photonic quantum circuits via the parameter shift rule by Francesco Hoch, Giovanni Rodari, Taira Giordani, Paul Perret, Nicolò Spagnolo, Gonzalo Carvacho, Ciro Pentangelo, Simone Piacentini, Andrea Crespi, Francesco Ceccarelli, Roberto Osellame, Fabio Sciarrino

“…In the era of noisy intermediate-scale quantum computers, variational quantum algorithms are promising approaches for solving optimization tasks by training parameterized quantum circuits with the aid of classical routines informed by quantum measurements. …”
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Optimal fidelity estimation for density matrix by Yiping Lu, Liyu Lai, Jun Xiang, Yuhan Dai, Ying Zeng, Qi Li

“…Abstract Fidelity estimation is a necessary tool for evaluating noise in quantum measurement and quantum computation. The traditional fidelity estimation is to calculate the distance between two density matrices by employing direct fidelity estimation, which consumes too much copies of state. …”
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Data-driven decoding of quantum error correcting codes using graph neural networks by Moritz Lange, Pontus Havström, Basudha Srivastava, Isak Bengtsson, Valdemar Bergentall, Karl Hammar, Olivia Heuts, Evert van Nieuwenburg, Mats Granath

“…Accurate, maximum likelihood, decoders are computationally very expensive whereas decoders based on more efficient algorithms give sub-optimal performance. …”
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Dynamic Modeling and Quantum-Enhanced Forecasting of Multi-Seasonal Energy Prices in Simulated Microgrid Environments by Ritesh Dash, Anupa Sinha, K. Jyotheeswara Reddy, C. Dhanamjayulu, Innocent Kamwa

“…To overcome these we propose a hybrid framework incorporating Adiabatic Quantum Computing (AQC) for electricity price forecasting. …”
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Resource-Efficient Context-Aware Dynamical Decoupling Embedding for Arbitrary Large-Scale Quantum Algorithms by Paul Coote, Roman Dimov, Smarak Maity, Gavin S. Hartnett, Michael J. Biercuk, Yuval Baum

“…The method relies on a graph representation of the embedding problem, where the optimal decoupling sequence can be efficiently calculated using an algebraic computation that scales linearly with the number of idles. …”
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