Digital twins gain momentum through AI
Quantum Elements uses AI-driven simulation to accelerate the creation of digital twins and the development of quantum computing.
AI is accelerating the creation of digital twins by reducing the time and labour required to build complex models. Consulting firm McKinsey says specialised virtual replicas can take six months or more to develop, but generative AI tools can now automate much of the coding process.
McKinsey analysts say AI can structure inputs and synthesise outputs for these simulations, while the models provide safe testing environments for AI systems. Together, the technologies can reduce costs, shorten development cycles, and accelerate deployment.
Quantum Elements, a startup backed by QNDL Participations and the USC Viterbi School of Engineering, is applying this approach to quantum computing. Its Constellation platform combines AI agents, natural language tools, and simulation software.
The company says quantum systems are hard to model because qubits behave differently across hardware types such as superconducting circuits, trapped ions, and photonics. These variations affect stability, error rates, and performance.
By using digital twins, developers can test algorithms, simulate noise, and evaluate error correction without building physical hardware. Quantum Elements says this can cut testing time from months to minutes.
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