Beyond Paper Qubits: IQM Unlocks Full 54-Qubit Entanglement for Cloud Users

ESPOO, Finland – October 29, 2026 – For years, the quantum computing industry has operated in a space of profound cognitive dissonance. We celebrate the arrival of processors boasting dozens, sometimes hundreds, of qubits, yet the mathematical reality of noise and decoherence often restricts researchers to using a mere fraction of that capacity. It is a systemic bottleneck that has kept quantum computing largely in the realm of theoretical promise rather than practical utility.

Today, IQM Quantum Computers announced a milestone that fundamentally challenges this status quo. The Finland-based company revealed that its cloud-accessible IQM Emerald system has successfully entangled all 54 qubits on its chip simultaneously. By achieving a genuine multipartite entanglement across the entire processor, IQM has demonstrated that a system's computational quality can hold up when every single qubit is put to work at once. For the broader landscape of modern society—which eagerly awaits quantum advancements in drug discovery, climate modeling, and supply chain optimization—this transition from theoretical hardware to usable algorithmic power is a critical leap forward.

Closing the 'Paper Qubit' Gap

The discrepancy between advertised hardware specifications and usable computational power is colloquially known in the industry as the "paper qubit" problem. Until recently, a user running a complex algorithm on the IQM Emerald processor could reliably string together roughly 30 qubits. Attempting to push beyond that threshold often meant watching the delicate quantum states collapse into classical noise.

To prove they had conquered this barrier, IQM engineers utilized a Greenberger-Horne-Zeilinger (GHZ) state, a notoriously unforgiving standard benchmark for large-scale entanglement. The results were definitive. IQM measured a fidelity of 0.515 at 40 qubits without readout error mitigation (REM), and 0.516 across the full 54 qubits with REM applied. In quantum mechanics, a fidelity score above the 0.500 classical threshold separates genuine, verifiable entanglement from mere statistical noise.

Achieving a score of 0.516 across 54 physical qubits is not simply a laboratory parlor trick; it is a declaration of system-wide coherence. It means that cloud customers—ranging from academic researchers to enterprise technology leaders—now have access to the same full-chip performance. Computations can draw on the entire processor rather than being artificially siloed into smaller, less capable subsets of the chip.

Automating the Quantum Frontier

The most compelling aspect of IQM's announcement is not just what they achieved, but how they achieved it. Scaling quantum computers is not merely a hardware challenge; it is a deeply complex software and systems engineering problem. The breakthrough was enabled by a smarter, automated routine for state preparation.

Quantum circuits are acutely sensitive to the passage of time. When qubits sit idle waiting for other operations to complete, they lose their quantum information. IQM's new automated pipeline intelligently selects the best two-qubit gates while weighing gate fidelity against qubit idle time. By optimizing both the specific qubits used and the exact order of the gates, the system minimizes the time any single qubit spends waiting in the dark.

"Entangling the entire chip means every qubit and every connection between them has to work correctly in the same circuit. Getting there came down to being smarter about how we prepare the state itself, choosing the gate order to keep idle time to a minimum," said Craig Ciesla, CTO of IQM Quantum Computers. "Our current and prospective cloud customers now have the chance to benefit from the same tools and system performance that made this achievement possible."

This intelligent gate scheduling, combined with an improved gate set and the deployment of error-reduction tools like dynamical decoupling, led to an operational error rate reduction of up to 50%. Furthermore, this automated state-preparation routine is part of a much broader, AI-driven push to automate the tuning of quantum systems. As one company co-founder recently observed in industry discussions, calibration has historically been a quiet bottleneck. Manual calibration of large quantum systems can take days, requiring highly specialized physicists. By deploying autonomous, agentic calibration systems that tune the hardware in minutes, IQM is removing the human operational overhead that has long restricted quantum scalability.

Real-World Utility for a Collective Future

Why does a 54-qubit GHZ state matter to the average person? Because the systems that allow our communities to thrive—from the development of life-saving pharmaceuticals to the creation of next-generation sustainable materials—are currently constrained by the limits of classical computing.

Classical computers simulate nature poorly because nature operates on quantum mechanics. A fully entangled 54-qubit processor offers a significantly larger canvas for chemists and materials scientists to model complex molecular interactions. With 54 reliable qubits accessible via the cloud, enterprise users can begin developing more accurate simulations of molecular behaviors that are intractable for classical supercomputers. This expanded capacity directly accelerates the timeline for discovering novel battery materials for the green energy transition or screening billions of compounds for targeted medical therapies.

Industry analysts monitoring the sector predict significant growth in quantum computing as a service (QCaaS) over the next few years, though they caution that true, fault-tolerant quantum computing remains a longer-term horizon. However, analysts also advise that the early era of quantum advantage is arriving for specific optimization and modeling workloads. By making full-chip entanglement available immediately to commercial cloud users, IQM is allowing enterprises to experiment with real, scalable algorithms today, rather than waiting for the theoretical fault-tolerant machines of the 2030s. It democratizes access to deep tech, ensuring that the benefits of quantum innovation are not restricted solely to the handful of corporations that can afford to build their own hardware.

Staking a European Claim in a Global Race

IQM's milestone also carries significant geopolitical weight. Founded in 2018 and recently becoming the first publicly listed European quantum company on the Nasdaq Stock Market, IQM is positioning itself as a formidable counterweight to American technology giants like IBM and Google.

While competitors like IBM are currently pursuing modular architectures—connecting multiple 120-qubit processors with superconducting cables to scale beyond single-chip limitations—IQM's achievement proves that there is still immense, untapped potential in optimizing monolithic chips to their absolute limits. Google's Sycamore processor famously demonstrated quantum computational advantages on a 54-qubit architecture, but IQM's dedicated focus on providing verifiable, cloud-accessible GHZ entanglement across every qubit on the Emerald chip sets a new benchmark for commercial usability.

Furthermore, IQM's strategy of offering both cloud access and on-premises deployments appeals heavily to national laboratories and high-performance computing centers that require strict data sovereignty and direct control over their quantum infrastructure. As the global race to commercialize quantum computing accelerates, the ability to deliver a fully functional, highly entangled processor that operates precisely as advertised is a vital differentiator. The era of the paper qubit is ending, and the era of tangible, system-wide quantum performance has officially begun.