IQM Quantum Computers and Zurich Instruments have launched a joint project to build a real-time quantum error correction (QEC) demonstrator enabled by the NVIDIA NVQLink platform.
The demonstrator combines IQM’s 20-qubit superconducting quantum computer, Zurich Instruments’ new ZQCS Quantum Control System, and GPU-accelerated classical computing enabled by NVQLink. The integrated system supports closed-loop, low-latency decoding and feedback, capabilities that are required for operating logical qubits at scale.
Towards Fault-Tolerant Quantum Computing
As enterprises and public institutions move from quantum exploration to long-term deployment, the challenge has shifted beyond simply accessing quantum hardware. The focus is now on reliably operating quantum computers, integrating them into existing compute infrastructure, and scaling them towards fault tolerance.
By aligning quantum hardware, control electronics, and classical acceleration within a single operational architecture, the project establishes a system-level approach aimed at reliable operation, infrastructure integration, and future enterprise-scale quantum computing.
Datacentre-Ready Architecture
The ZQCS Quantum Control System from Zurich Instruments was designed precisely for this type of integration, providing the real-time control and measurement capabilities needed for error correction protocols. Combined with NVQLink’s GPU-accelerated classical processing, the system enables the rapid decoding and feedback loops essential for maintaining logical qubit coherence.
Jan Goetz, CEO and co-founder of IQM, said the demonstrator is “more than an advance in error correction, it is about building momentum towards a future where fault-tolerant quantum systems are accessible and impactful for organisations everywhere.”
The project represents a significant milestone towards scalable and fault-tolerant quantum computing designed specifically for enterprise and datacentre deployment, bridging the gap between laboratory demonstrations and industrial-grade quantum systems.
