Quantum algorithms for matrix functions

Quantum algorithms have recently made significant progress in scientific computing, demonstrating their potential to overcome the limitations of classical computing power. In many scientific computing problems, including matrix inversion algorithms and Hamiltonian simulation, quantum algorithms have already demonstrated their quantum advantage within their frameworks. In this talk, we will first introduce some basic frameworks for applying quantum algorithms to scientific computing problems, and then present our recent work on matrix-valued functions based on Cauchy integrals and Fourier transforms.

The talk will be streamed through "Tencent": https://meeting.tencent.com/dm/mAf9rFxRrDeU.
meeting code: 800-284-511
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