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A hybrid quantum-classical framework for computational fluid dynamics

Autor: Ye, Chuang-Chao, An, Ning-Bo, Ma, Teng-Yang, Dou, Meng-Han, Bai, Wen, Chen, Zhao-Yun, Guo, Guo-Ping

Great progress has been made in quantum computing in recent years, providing opportunities to overcome computation resource poverty in many scientific computations like computational fluid dynamics (CFD). In this work, efforts are made to exploit qua

Externí odkaz: http://arxiv.org/abs/2406.16595

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Enabling Large-Scale and High-Precision Fluid Simulations on Near-Term Quantum Computers

Quantum computational fluid dynamics (QCFD) offers a promising alternative to classical computational fluid dynamics (CFD) by leveraging quantum algorithms for higher efficiency. This paper introduces a comprehensive QCFD method, including an iterati

Externí odkaz: http://arxiv.org/abs/2406.06063

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An Improved QFT-Based Quantum Comparator and Extended Modular Arithmetic Using One Ancilla Qubit

Autor: Yuan, Yewei, Wang, Chao, Wang, Bei, Chen, Zhao-Yun, Dou, Meng-Han, Wu, Yu-Chun, Guo, Guo-Ping

Quantum comparators and modular arithmetic are fundamental in many quantum algorithms. Current research mainly focuses on operations between two quantum states. However, various applications, such as integer factorization, optimization, option pricin

Externí odkaz: http://arxiv.org/abs/2305.09106

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Efficient and Error-Resilient Data Access Protocols for a Limited-Sized Quantum Random Access Memory

Autor: Chen, Zhao-Yun, Xue, Cheng, Wang, Yun-Jie, Sun, Tai-Ping, Liu, Huan-Yu, Zhuang, Xi-Ning, Dou, Meng-Han, Zou, Tian-Rui, Fang, Yuan, Wu, Yu-Chun, Guo, Guo-Ping

Quantum Random Access Memory (QRAM) is a critical component for loading classical data into quantum computers. While constructing a practical QRAM presents several challenges, including the impracticality of an infinitely large QRAM size and a fully

Externí odkaz: http://arxiv.org/abs/2303.05207

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