Combating Fake News with Cryptography in Quantum Era with Post-Quantum Verifiable Image Proofs by Maksim Iavich

“…To address this challenge, we introduce Post-Quantum VerITAS, a cryptographic framework for verifying the authenticity and history of digital images—even in a future where quantum computers threaten classical encryption. …”
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Variational quantum multiobjective optimization by Linus Ekstrom, Hao Wang, Sebastian Schmitt

“…We present a variational quantum optimization algorithm to solve discrete multiobjective optimization problems on quantum computers. …”
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Sunlight-Driven Quantum Magnetometry by Yunbin Zhu, Yijin Xie, Ke Jing, Ziyun Yu, Huiyao Yu, Wenzhe Zhang, Xi Qin, Chang-Kui Duan, Xing Rong, Jiangfeng Du

“…Emerging quantum technologies, such as quantum computations and precise sensing, provide new opportunities in the fields of science and engineering. …”
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Evaluation of porphyrin molecules as effective corrosion inhibitors for copper alloy in sulfuric acid using both experimental and computational approaches by Metwally Abdallah, Majda Alfakeer, Rasha N Felaly, Abdulaziz M. Almohyawi, Jabir H. Al-Fahemi, Salih S. Al-Juaid, Doaa F. Seyam, Elsayed M. Mabrouk, Kamal A. Soliman

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Study of thermal performance and melting behaviour of a novel paraffin wax-carbon quantum Dots PCMs by G. Murali, J. Emeema, B. Venkateswara Reddi, P. S. N. Masthan Vali, P. V. Elumalai, M. Murugan, Mamdooh Alwetaishi, T. Bhargava Ramu, S. Prabhakar

“…Abstract Thermal energy storage with phase change materials (PCMs) is emerging as a key solution in addressing the global energy crisis, driving innovation in energy storage and management systems. …”
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Quantum gravity of the Heisenberg algebra by Ahmed Almheiri, Akash Goel, Xu-Yao Hu

“…Furthermore, we use the on-shell solution for the geodesic lengths between any two boundary points to reconstruct an effective bulk metric and reverse engineer the dilaton gravity theory that generates this metric as a solution.…”
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Quantum Techniques for Reaction Networks by John C. Baez

“…While reaction networks are mainly studied by chemists, they are equivalent to Petri nets, which are used for similar purposes in computer science and biology. As noted by Doi and others, techniques from quantum physics, such as second quantization, can be adapted to apply to such systems. …”
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Advantages of Logarithmic Signatures in the Implementation of Crypto Primitives by Yevhen Kotukh, Hennadii Khalimov

“…In 1994, Shor showed that these classical complex problems can be easily solved on a large-scale quantum computer.  Quantum-resistant cryptosystems based on lattices and other post-quantum candidates also exploit computationally complex tasks. …”
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Enhancing Data Security in Distributed Systems Using Homomorphic Encryption and Secure Computation Techniques by Parihar Bhawana, Kiran Ajmeera, Valaboju Sabitha, Rashid Syed Zahidur, Liyakat Kazi Kutubuddin Sayyad, D R Anita Sofia Liz

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Design and implementation of quantum hippo inspired convolutional neural networks using parametric quantum circuits for an efficient lung cancer classification by S. Radhika, G. Sharada

“…To overcome this problem, Quantum Hippo Optimized Convolution Neural Network (QHO-CNN) has been proposed to homogenize the quantum computations on classical computers which can effectively diagnose lung cancers with the high-speed computations. …”
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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

“…QuantumNet demonstrates high accuracy and resource efficiency, providing a transformative solution for DR detection and broader medical imaging applications. …”
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Perturbing a quantum black hole by Casey Cartwright, Umut Gürsoy, Juan F. Pedraza, Guim Planella Planas

“…The leading QNMs and their overtones display qualitatively different behavior depending on the branch of qBTZ solution, which corresponds to distinct CFT states: branch 1 is a conical singularity dressed with a horizon while branch 2 is a quantum-corrected BTZ black hole. …”
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Q-Gen: A Parameterized Quantum Circuit Generator by Yikai Mao, Shaswot Shresthamali, Masaaki Kondo

“…Unlike most classical algorithms that take an input and give the solution directly as an output, quantum algorithms produce a quantum circuit that works as an indirect solution to computationally hard problems. …”
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Unstructured Adiabatic Quantum Optimization: Optimality with Limitations by Arthur Braida, Shantanav Chakraborty, Alapan Chaudhuri, Joseph Cunningham, Rutvij Menavlikar, Leonardo Novo, Jérémie Roland

“…In the circuit model of quantum computing, amplitude amplification techniques can be used to find solutions to NP-hard problems defined on $n$-bits in time $\text{poly}(n) 2^{n/2}$. …”
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Noise robust detection of quantum phase transitions by Kevin Lively, Tim Bode, Jochen Szangolies, Jian-Xin Zhu, Benedikt Fauseweh

“…Quantum computing allows for the manipulation of highly correlated states whose properties quickly go beyond the capacity of any classical method to calculate. …”
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Noise Robustness of Quantum Relaxation for Combinatorial Optimization by Kentaro Tamura, Yohichi Suzuki, Rudy Raymond, C. Hiroshi Watanabe, Yuki Sato, Ruho Kondo, Michihiko Sugawara, Naoki Yamamoto

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Using artificial intelligence methods for the optimal synthesis of reversible networks by Taras Kyryliuk, Mykhailo Palahuta, Vitaly Deibuk

“…The synthesis of reversible circuits is closely related to quantum computing, where quantum gates also possess a reversible nature. …”
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Quantum Kernel Machine Learning With Continuous Variables by Laura J. Henderson, Rishi Goel, Sally Shrapnel

“…As yet, there is no comparative framework to understand these concepts for continuous variable (CV) quantum computing platforms. In this paper we represent CV quantum kernels as closed form functions and use this representation to provide several important theoretical insights. …”
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Exploring Quantum Neural Networks for Demand Forecasting by Gleydson Fernandes de Jesus, Maria Heloísa Fraga da Silva, Otto Menegasso Pires, Lucas Cruz da Silva, Clebson dos Santos Cruz, Valéria Loureiro da Silva

“…Utilizing quantum computing techniques offers a promising solution to overcome the limitations of traditional machine learning approaches in training predictive models for complex market dynamics.…”
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A Hybrid Quantum Solver for the Lorenz System by Sajad Fathi Hafshejani, Daya Gaur, Arundhati Dasgupta, Robert Benkoczi, Narasimha Reddy Gosala, Alfredo Iorio

“…The simulation results demonstrate that the VQLS method can effectively compute solutions comparable to classical methods. …”
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