SAPO: Improving the Scalability and Accuracy of Quantum Linear Solver for Portfolio Optimization

Portfolio optimization is one of the most important financial problem, suffering from huge computational pressure due to arithmetic complexity. Quantum computing offers polynomial or even exponential speedup that turns out to be a promising approach. However, existing quantum methods is fundamentall...

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Veröffentlicht in:	2025 62nd ACM/IEEE Design Automation Conference (DAC) S. 1 - 7
Hauptverfasser:	Zhu, Tianze, Lu, Liqiang, Chen, Jiajun, Chen, Yuhang, Chen, Hengrui, Xi, Meng, Zhang, Jinshan, Sun, Xiaoming, Yin, Jianwei
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 22.06.2025
Schlagworte:	Accuracy Complexity theory Eigenvalues and eigenfunctions Optimization Polynomials Portfolios Quantum circuit Quantum mechanics Scalability Transforms
Online-Zugang:	Volltext
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