Tensor-Programmable Quantum Circuits for Solving Differential Equations

Pia Siegl, Greta Sophie Reese, Tomohiro Hashizume, Nis-Luca van Hülst, Dieter Jaksch

We present a quantum solver for partial differential equations based on a flexible matrix product operator representation. Utilizing mid-circuit measurements and a state-dependent norm correction, this scheme overcomes the restriction of unitary operators. Hence, it allows for the direct implementation of a broad class of differential equations governing the dynamics of classical and quantum systems. The capabilities of the framework are demonstrated for an example system governed by Euler equations with absorbing boundaries.

Cite as BibTeX

@misc{siegl2025tensorprogrammablequantumcircuitssolving,
title={Tensor-Programmable Quantum Circuits for Solving Differential Equations},
author={Pia Siegl and Greta Sophie Reese and Tomohiro Hashizume and Nis-Luca van Hülst and Dieter Jaksch},
year={2025},
eprint={2502.04425},
archivePrefix={arXiv},
primaryClass={quant-ph},
url={https://arxiv.org/abs/2502.04425},
}