Quantum algorithms for attacking hardness assumptions in classical and post‐quantum cryptography by J.‐F. Biasse, X. Bonnetain, E. Kirshanova, A. Schrottenloher, F. Song

“…Abstract In this survey, the authors review the main quantum algorithms for solving the computational problems that serve as hardness assumptions for cryptosystem. …”
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On Quantum Methods for Machine Learning Problems Part I: Quantum Tools by Farid Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu

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Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning by Sangwoo Park, Osvaldo Simeone

“…Quantum machine learning is a promising programming paradigm for the optimization of quantum algorithms in the current era of noisy intermediate-scale quantum computers. …”
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Low-Rank Variational Quantum Algorithm for the Dynamics of Open Quantum Systems by Sara Santos, Xinyu Song, Vincenzo Savona

“…Near-term quantum computers may bring considerable advantage for the efficient simulation of their static and dynamical properties, thanks to hybrid quantum-classical variational algorithms to approximate the dynamics of the density matrix describing the quantum state in terms of an ensemble average. …”
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Advancing dynamic quantum crystallography: enhanced models for accurate structures and thermodynamic properties by Helena Butkiewicz, Michał Chodkiewicz, Anders Ø. Madsen, Anna A. Hoser

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Quantum illumination networks by Xiaobin Zhao, Zheshen Zhang, Quntao Zhuang

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Pioneering the Security of EHRs Using an Immersive Blockchain Conceptual Framework by Rihab Benaich, Youssef Gahi, Saida El Mendili

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A novel method for developing post-quantum cryptoschemes and a practical signature algorithm by Nikolay Andreevich Moldovyan, Dmitriy Nikolaevich Moldovyan

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Photovoltaic-Power Prediction Model Based on Quantum Long Short-Term Memory Network by PAN Dong, YANG Xin, SHI Tiancheng, FANG Yuan, WANG Xuli, DOU Menghan

Subjects: “…quantum computer|quantum long short-term memory network|dual-stage attention|photovoltaic power prediction…”
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A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity by Ryan L'Abbate, Anthony D'Onofrio, Samuel Stein, Samuel Yen-Chi Chen, Ang Li, Pin-Yu Chen, Juntao Chen, Ying Mao

“…This constraint greatly inhibits the range of applications that can leverage quantum computers. Moreover, as the available qubits increase, the computational complexity grows exponentially, posing additional challenges. …”
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On Quantum Methods for Machine Learning Problems Part II: Quantum Classification Algorithms by Farid Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu

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A Comparison of Implications in Orthomodular Quantum Logic—Morphological Analysis of Quantum Logic by Mitsuhiko Fujio

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ECC fault attack algorithm based on Grover's quantum search algorithm with 0.1π phase rotation by Chao WANG, Lin CAO, Hui-hui JIA, Feng HU

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Testing and Debugging Quantum Circuits by Sara Ayman Metwalli, Rodney Van Meter

“…This work is a crucial step toward realizing robust quantum computing systems and their applications in various domains.…”
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Quantum resonant dimensionality reduction by Fan Yang, Furong Wang, Xusheng Xu, Pan Gao, Tao Xin, ShiJie Wei, Guilu Long

“…Quantum computing is a promising candidate for accelerating machine learning tasks. …”
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Cosmic muon flux attenuation methods for superconducting qubit experiments by Elia Bertoldo, Victor Pérez Sánchez, Maria Martínez, Manel Martínez, Hawraa Khalife, Pol Forn-Díaz

Subjects: “…quantum computing…”
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The Entanglement of Independent Quantum Systems by Shuilin Jin, Li Xu

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Streaming quantum state purification by Andrew M. Childs, Honghao Fu, Debbie Leung, Zhi Li, Maris Ozols, Vedang Vyas

“…This basic task has applications to quantum communication over noisy channels and quantum computation with imperfect devices, but has only been studied previously for the case of qubits. …”
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Quantum annealing-assisted lattice optimization by Zhihao Xu, Wenjie Shang, Seongmin Kim, Eungkyu Lee, Tengfei Luo

“…Our algorithm highlights the potential of quantum computing in materials design and discovery, laying a foundation for further exploring and optimizing structure-property relationships.…”
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New parameterized quantum gates design and efficient gradient solving based on variational quantum classification algorithm by Xiaodong Ding, FuDong Liu, Weilong Wang, Yu Zhu, Yifan Hou, Yizhen Huang, Jinchen Xu, Zheng Shan

“…Although the parameter-shift rule can efficiently compute the parameter gradient with quantum circuits, it needs to run the quantum circuit twice repeatedly, which significantly reduces the computation efficiency. …”
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