Classical optimisation of reduced density matrix estimations with classical shadows using N-representability conditions under shot noise considerations

Autor:	Anselmetti, Gian-Luca R., Degroote, Matthias, Moll, Nikolaj, Santagati, Raffaele, Streif, Michael
Rok vydání:	2024
Předmět:	Quantum Physics
Druh dokumentu:	Working Paper
Popis:	Classical shadow tomography has become a powerful tool in learning about quantum states prepared on a quantum computer. Recent works have used classical shadows to variationally enforce N-representability conditions on the 2-particle reduced density matrix. In this paper, we build upon previous research by choice of an improved estimator within classical shadow tomography and rephrasing the optimisation constraints, resulting in an overall enhancement in performance under comparable measurement shot budgets. We further explore the specific regimes where these methods outperform the unbiased estimator of the standalone classical shadow protocol and quantify the potential savings in numerical studies.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2411.18430 Zobrazit plný text záznamu View this record from Arxiv