Quantum Elements has announced a development agreement with Italian quantum computing company Planckian to advance quantum error correction (QEC) through AI-powered digital twin technology. The collaboration aims to develop architecture-specific noise models that will help Planckian evaluate and optimize error correction strategies for its superconducting quantum processor architecture.
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Quantum Elements and Planckian Collaborate on AI-Powered Quantum Development
Quantum Elements has entered into a development agreement with Planckian to create AI-powered digital twins that model the physical behavior of Planckian's superconducting quantum processors. The collaboration focuses on developing architecture-specific simulations that allow researchers to evaluate quantum error correction strategies before deploying them on physical hardware.
The digital twin technology will characterize processor noise by modeling factors such as coherence, leakage, operational errors, and other hardware-specific behaviors that influence quantum system performance.
“Our Digital Twins platform can accurately mirror quantum systems on classical computers, leading to a clear development path from system co-design to quantum error correction and all the way to fault-tolerant quantum computing for Planckian and other quantum hardware companies,” said Izhar Medalsy, co-founder and CEO of Quantum Elements. “We’ve shown that both theoretically and practically.”
Supporting Quantum Error Correction with Digital Twins
According to the companies, Planckian's superconducting processor architecture introduces a different hardware design compared to conventional quantum systems. While the architecture aims to simplify scaling by reducing control complexity and infrastructure requirements, it also creates unique error characteristics that require specialized modeling.
The collaboration will enable Planckian to analyze these architecture-specific error patterns using realistic digital simulations before implementing quantum error correction methods on production hardware.
“Our architecture removes the control complexity and infrastructure overhead that typically prevents conventional superconducting processors from scaling. However, a new approach also reshapes the errors the system has to contend with,” said Michele Dallari, co-founder and CEO of Planckian. “That makes architecture-specific characterization essential: we need a faithful picture of our own noise environment before we decide how to correct it. Quantum Elements' digital twins enable us to evaluate error-correction schemes against a realistic model of our processors, on classical hardware and well ahead of scaling, the kind of groundwork a credible path to fault tolerance actually depends on.”
AI Models Reduce Computational Complexity
Quantum processors remain susceptible to challenges including environmental noise, qubit crosstalk, coherence loss, and control imperfections. Traditionally, researchers study these effects using density-matrix simulations, which become increasingly computationally expensive as quantum systems grow larger.
Quantum Elements' Digital Twins technology is designed to reduce these computational requirements while preserving the physical behavior necessary to evaluate quantum error correction, correlated noise, and decoder performance.
The company also referenced previous research conducted with AWS, the University of Southern California, and Harvard University, where Quantum Monte Carlo-accelerated digital twins simulated a 97-physical-qubit surface-code syndrome extraction round using classical high-performance computing infrastructure. According to the research, the approach significantly reduced computational complexity compared to conventional open-system simulations.
By combining AI-powered digital twins with architecture-specific quantum simulations, Quantum Elements and Planckian aim to accelerate the development of scalable, fault-tolerant quantum computing systems while enabling more efficient testing on classical computing infrastructure.
About Planckian
Planckian is developing the core technology to power utility-scale quantum computers. By design, our chip architecture decouples control lines from qubit count, removing a key bottleneck in scaling. It combines the proven reliability of superconducting circuits with a new approach to qubit control, paving the way for quantum computers capable of solving the world’s most challenging problems. Launched in 2023, Planckian is proudly building from the heart of a world-class research ecosystem in Italy.
About Quantum Elements
Founded in 2023 in Los Angeles, Quantum Elements seeks to transform the quantum computing industry by making the path to real-world commercial applications more efficient and cost-effective through its proprietary, AI-native software stack and world-leading quantum Digital Twins.
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