Quantum AI Report

The convergence of Quantum with AI

Microsoft

MSFT

Microsoft runs one of the largest corporate quantum programs, built around a topological qubit architecture in which information is encoded in Majorana quasiparticles so that errors are suppressed at the hardware level rather than corrected in software. After years of unproven claims, the company announced its Majorana 1 chip in February 2025, a result that drew substantial skepticism from physicists; the approach remains unvalidated by independent replication and lags the gate fidelities demonstrated by superconducting and trapped-ion rivals. Separately, Microsoft operates Azure Quantum, a cloud service that sells access to third-party quantum hardware and provides the Q# language and Quantum Development Kit, and it publishes widely cited work on error correction and quantum algorithms.

AI-written profile · not yet reviewed · 21 September 2026

Headquarters
Redmond, Washington, USA
Founded
1975
Status
Public

Coverage

arXiv quant-ph

From sparse quantum-computing data to atomistic simulation with universal machine-learning interatomic potentials

Researchers propose a framework that refines an existing universal machine-learning interatomic potential (uMLIP) originally trained on density functional theory (DFT) data. Instead of building a quantum-computed potential from scratch, the approach uses a small number of accurate electronic-structure reference energies obtained from a quantum computer to update the pretrained potential. The work is described in a preprint posted to arXiv.

OutlookPlausible

Within 0-2 years, the framework is demonstrated on small molecules or bulk materials with a few dozen quantum-computed reference energies, showing measurable improvement over the base DFT uMLIP for a specific property.

algorithms softwareIBMMicrosoftNVIDIAQuantinuum