Sample Efficient Quantum Error Mitigation Via Classical Learning

Sample Efficient Quantum Error Mitigation Via Classical Learning Our approach provides a template that can be effectively extended to other quantum error mitigation protocols, opening a promising path toward scalable error mitigation. Researchers have developed a new error mitigation technique for quantum computers that dramatically reduces the need for measurements, enabling more complex calculations on current, noisy processors by using classical machine learning to predict and correct errors.

Pdf Learning Based Quantum Error Mitigation Our approach provides a template that can be effectively extended to other quantum error mitigation protocols, opening a promising path toward scalable error mitigation. Our approach provides a template that can be effectively extended to other quantum error mitigation protocols, opening a promising path toward scalable error mitigation. This repository contains the numerical experiment data for the paper "sample efficient quantum error mitigation via classical learning surrogates". it includes the datasets and scripts necessary to reproduce the figures and results. This research introduces classical machine learning surrogates to predict the outcomes of quantum circuits, thereby reducing the need for repeated quantum executions and enabling more efficient error mitigation.

A Diagram Showing The Process Of Learning Based Quantum Error This repository contains the numerical experiment data for the paper "sample efficient quantum error mitigation via classical learning surrogates". it includes the datasets and scripts necessary to reproduce the figures and results. This research introduces classical machine learning surrogates to predict the outcomes of quantum circuits, thereby reducing the need for repeated quantum executions and enabling more efficient error mitigation. Our results show that classical machine learning can extend the reach and practicality of quantum error mitigation by reducing its overhead and highlight its broader potential for. Article "sample efficient quantum error mitigation via classical learning surrogates" detailed information of the j global is an information service managed by the japan science and technology agency (hereinafter referred to as "jst").