Marianna Crupi, J. Ignacio Cirac, Flavio Baccari (Jul 04 2025).

Abstract: We present a quantum process tomography protocol based on a low-degree ansatz for the quantum channel, i.e. when it can be expressed as a fixed-degree polynomial in terms of Pauli operators. We demonstrate how to perform tomography of such channels with a polynomial amount of effort relative to the size of the system, by employing random state preparation and measurements in the Pauli basis. We extend the applicability of the protocol to channels consisting of a layer of quantum gates with a fixed number of non-Clifford gates, followed by a low-degree noise channel. Rather than inverting the layer of quantum gates in the hardware, which would introduce new errors, we effectively carry out the inversion by classical post-processing while maintaining the protocol's efficiency. Numerical simulations support our theoretical findings and demonstrate the feasibility of our method.

Arxiv: https://arxiv.org/abs/2507.02030