Quantum AI Report

The convergence of Quantum with AI

Rigetti Computing

RGTI

Rigetti Computing develops superconducting quantum processors and hybrid quantum-classical systems, offering cloud-based quantum computing services through its platforms.

AI-written profile · not yet reviewed · 16 August 2026

Headquarters
Berkeley, California
Founded
2013
Status
Public

Coverage

Quantum Computing Report

Rigetti and Purdue University Demonstrate Quantum Preconditioning Framework for Constrained Optimization

Rigetti Computing and Purdue University have published joint research extending Rigetti's quantum preconditioning framework to hard-constrained combinatorial optimization problems. The method uses two-point variable correlations extracted from shallow QAOA circuits to modify the problem's objective function before it is passed to a classical solver.

OutlookPlausible

Within two years, this framework could become a standard preprocessing step in Rigetti's cloud service, letting users submit constrained optimization problems, receive QAOA-derived correlation data, and warm-start commercial classical solvers.

algorithms softwaresuperconductingPurdue UniversityRigetti Computing
arXiv quant-ph

One Qubit Can Beat One Bit: Quantum Advantage for Post-Training Quantization

A new arXiv preprint demonstrates that a quantum algorithm requiring only a single qubit can outperform the best known classical algorithm for post-training quantization of neural networks, achieving a provable advantage in terms of accuracy or efficiency.

OutlookPlausible

The algorithm is implemented on existing noisy quantum processors and integrated into cloud-based ML pipelines, enabling AI developers to offload quantization jobs for a measurable improvement in compression quality over purely classical methods within two years.

algorithms softwareIBMIonQRigetti ComputingXanadu