Quantum Elements to Explore Digital Twin Modeling on Rigetti Hardware

Los Angeles-based startup Quantum Elements has announced a research collaboration with Rigetti Computing to evaluate the use of AI-native digital twin simulation for superconducting quantum hardware. The project focuses on utilizing Quantum Elements’ Constellation platform to model complex noise behaviors and error channels across Rigetti’s next-generation processors. By simulating single-qubit gates, two-qubit gates, readout, and reset operations in a "hardware-faithful" virtual environment, the research seeks to identify how digital twin workflows can complement traditional benchmarking and performance characterization.

This collaboration follows a series of technical milestones for Quantum Elements in early 2026. In April, the company co-developed a tool with AWS that allows researchers to simulate 97-qubit surface codes with realistic hardware noise on cloud high-performance computing (HPC) infrastructure. Additionally, the company recently reported results from a study on IBM's 127-qubit processor, claiming that its digital-twin-guided error detection enabled entangled logical qubits to reach 95% fidelity, compared to 43% achieved with standard code alone.

The partnership aims to refine Quantum Error Correction (QEC) strategies by providing a data-rich environment for training decoders before they are deployed on physical machines. By virtualizing error patterns linked to coherent effects and crosstalk—phenomena often missed by simplified noise models—the researchers intend to accelerate the design cycle for fault-tolerant architectures. Quantum Elements’ platform is currently available on a limited trial basis, with plans for broader commercial availability as the company expands its ecosystem of hardware and academic partners.

For the official press release regarding the collaboration with Rigetti, visit HPCwire here. Technical details on the company's recent error-correction benchmarks on IBM hardware are available via Network World here.

April 21, 2026