Quantum AI Report

The convergence of Quantum with AI

Qedma

Qedma develops software that reduces errors in quantum computers by combining noise characterization with machine learning. Its hardware-agnostic platform is aimed at improving the reliability of near-term quantum processors.

AI-written profile · not yet reviewed · 2 August 2026

Headquarters
Tel Aviv, Israel
Founded
2022
Status
Private

Coverage

Quantum Computing Report

Independent Cross-Stack Benchmark Evaluates Commercial Quantum Error Management on 156-Qubit IBM Heron Hardware

An independent benchmark measured commercial quantum error management tools on a 156-qubit IBM Heron processor. Q-CTRL and Qedma QESEM reduced errors relative to IBM's native Qiskit Runtime, with Qedma achieving the highest precision at a higher QPU time cost and Q-CTRL offering a balance between error reduction and runtime. The study highlighted different resource-accuracy profiles among the tools.

OutlookPlausible

This could push IBM to integrate select third-party error management layers directly into Qiskit Runtime as user-selectable options, letting users trade accuracy against QPU time per job.

Quantum Zeitgeist

IBM & Qedma Achieve Quantum Advantage for Floquet Ising Model

IBM and Qedma demonstrated quantum advantage in simulating the Floquet Ising model on a superconducting quantum processor, using Qedma's error mitigation to extract accurate dynamics beyond classical verification.

OutlookPlausible

This could catalyze adoption of quantum simulation for short-time dynamics in materials science, as error mitigation proves sufficient to extract physically meaningful results on near-term devices.