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MatriQ Unveils Its Full-Stack Integrated Large-Scale Neutral-Atom Quantum Computing System at WAIC.

Publisher:MatriQPublication date:2026/07/21

As quantum computing power steps out of the laboratory, the neutral-atom route reaches an industrialization milestone.

During the 2026 World Artificial Intelligence Conference (WAIC 2026), the “full-stack integrated large-scale neutral-atom quantum computer” developed independently by Hangzhou MatriQ Computing Co., Ltd. (“MatriQ”) completed its offline public debut as a complete system. The machine can build and stably operate a defect-free physical qubit array of up to 2,310 qubits, and features a “memory–entanglement” zoning architecture; it reaches internationally advanced levels in key metrics such as qubit scale, gate operation fidelity and system stability. It is the first full-stack integrated engineered system in China’s neutral-atom quantum computing field, marking an important step forward in the industrialization of this technology route in China.


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Figure 1: MatriQ’s full-stack integrated large-scale neutral-atom quantum computer

Neutral atoms are one of the main technology routes in the international quantum computing field today, offering unique advantages in scalability, coherence time, full connectivity and friendliness to the operating environment; in recent years the industry has come to regard the route as one of those with the greatest industrialization potential.

High-Performance Large-Scale Arrays in Place: Core Technologies Lay the Foundation for Computing Power

One of the core breakthroughs of the system MatriQ exhibited lies in its ability to arrange large-scale programmable quantum arrays. In a neutral-atom system, collision blockade makes the loading of atoms into optical tweezer arrays inherently random — initially trapped atoms are often unevenly distributed and contain defects. Before quantum simulation, quantum gate operations or logical qubit preparation can be carried out, the system must move the randomly loaded atoms along programmable paths to target positions, turning them into an ordered, defect-free atom array. The efficiency and precision of this rearrangement directly determine the usable scale and computational quality of the quantum processor.

According to the company, the system has so far achieved the construction and stable operation of defect-free physical qubit arrays of up to 2,310 qubits. Under real operating conditions, it can complete a fully automated workflow that runs from identifying random atom loading and planning programmable paths to generating the target sequence — a key step from random loading toward a programmable quantum processor. On this basis, the system supports Hamiltonian simulation and quantum gate circuit computation, providing the underlying physical foundation for running large-scale quantum circuits.


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Figure 2: Close-up of the full-stack integrated large-scale neutral-atom quantum computer

Another key technology is programmable atom transport based on the “memory–entanglement” zoning architecture. As quantum computing systems continue to scale, the traditional static array architecture with a single region can no longer meet the demands of complex computation. The MatriQ team divides the system spatially into two functional zones: the upper part is the memory zone, which preserves the quantum coherence of the qubit array over the long term; the lower part is the entanglement zone, which performs local two-qubit gate operations.

Within this architecture, the system can selectively move target atoms from the memory zone into the entanglement zone via movable ancilla atom arrays, according to the requirements of the computational task; after completing local entanglement operations within a controlled region, the atoms are moved back to the memory zone or continue into subsequent operations. This zoning design helps reduce crosstalk affecting non-target qubits and improves qubit quality, local operations and the scalability of error correction workflows, providing underlying capability support for mainstream fault-tolerant schemes such as the surface code. This work is one of the frontier directions in international neutral-atom quantum computing today.

An Engineered System Built for Deployment: Full-Stack Capability Expands the Industrial Boundary

Unlike a one-off demonstration of a laboratory prototype, the neutral-atom quantum computer exhibited here is a complete engineered system built for delivery, designed for practical deployment in terms of product form, technology-stack coverage and computing architecture. In terms of form factor, the machine adopts a fully modular, highly integrated engineering design that consolidates the vacuum system, measurement and control modules and thermal management units into a standard complete-system form, breaking free of the deployment constraints of scattered laboratory equipment and taking a key step toward deployable systems.

Andy Xia, Founder of MatriQ, said at the booth: “The industrialization of quantum computing faces its core challenges not at the theoretical level, but at the systems engineering level. The significance of this machine is that it is a complete, operable and iterable engineered system, rather than a laboratory display of isolated metrics. Our team’s goal is to deliver a full-stack quantum computer that can genuinely be used. The road to industrialization has only just begun, but the first step has been taken on solid ground.”


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Figure 3: Andy Xia, Founder of MatriQ, interviewed by CCTV News

It is worth noting that during WAIC, the Shanghai Cube Pro, a Quantum-GPU heterogeneous system for hybrid training developed with MatriQ’s participation, was also officially released. The system was jointly developed by Suanova together with Shanghai Hemu Information Technology Co., Ltd., Hangzhou MatriQ Computing Co., Ltd., a domestic high-speed switching chip company and Shanghai Jiao Tong University; the quantum hardware portion was developed by MatriQ. This marks a major engineering breakthrough for China in the convergence of quantum computing and artificial intelligence computing power, and provides a self-controllable next-generation intelligent computing foundation for key fields such as biomedicine and new materials.


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Figure 4: The Shanghai Cube Pro Quantum-GPU heterogeneous system