Andy Ory from QuEra Computing announced the expansion of a $230 million Series B financing round, securing investment from NVentures, NVIDIA’s venture capital arm, after a prior $230 million round announced in February 2025 that included Google and Amazon Web Services. The funding will support the company’s neutral‑atom quantum computers, such as the Gemini‑class system installed alongside more than 2,000 NVIDIA H100 GPUs in Japan’s ABCIQ supercomputer, and will deepen collaboration with NVIDIA on hybrid quantum‑classical supercomputing, AI‑powered error decoding and large‑scale simulation at the NVIDIA Accelerated Quantum Center in Boston. QuEra will also integrate its neutral‑atom systems with NVIDIA’s accelerated‑computing stack and CUDAQ software platform, aiming to accelerate the arrival of fault‑tolerant quantum machines and unlock meaningful value for high‑performance‑computing centres worldwide.

QuEra Secures 230 Million Series B Investment from NVentures and Google to Accelerate Fault Tolerant Neutral Atom Quantum Computing

On 9 September 2025, QuEra announced that its Series B financing had expanded to a total of US $230 million, following a fresh injection from NVentures, the venture‑capital arm of NVIDIA, and an earlier commitment from Google. First disclosed in February 2025, the round consolidates the company’s financial footing as it pushes toward fault‑tolerant neutral‑atom quantum computing. NVentures’ participation deepens an already established partnership, underscoring a shared conviction that hybrid quantum‑classical architectures will deliver practical value sooner than many forecasts suggest. Andy Ory, chief executive officer of QuEra, highlighted the strategic nature of the investment, noting the existing collaboration with NVIDIA to pair its scalable neutral‑atom platform with the firm’s accelerated‑computing stack. The new capital will accelerate the development of high‑performance, error‑corrected machines, broaden QuEra’s go‑to‑market initiatives with NVIDIA’s GPU‑based infrastructure and software ecosystem, and extend the partnership to Amazon Web Services, granting access to the world’s most advanced AI and cloud resources as it scales toward large‑scale, error‑corrected quantum systems.

NVIDIA and QuEra Deepen Collaboration to Integrate Neutral Atom Systems with GPU Accelerated Computing for High Performance Computing Centers Worldwide

The collaboration seeks to unlock new performance regimes for large‑scale scientific and industrial workloads by integrating NVIDIA’s high‑throughput graphics processing units with QuEra’s advanced neutral‑atom architecture. Seamless coupling enables complex quantum algorithms while leveraging massive parallelism for classical pre‑ and post‑processing, reducing latency of quantum‑classical pipelines and accelerating time‑to‑solution. Machine‑learning‑enhanced error‑correction routines, trained on real‑world noise profiles, adapt correction strategies, improving fidelity without extensive hardware redundancy—a key advantage for scaling to the thousands of qubits required for practical, error‑corrected quantum applications. Deployment targets global high‑performance computing installations that already host large‑scale simulation and data‑analysis workloads, embedding the quantum‑processor platform within existing GPU‑centric infrastructures to lower the barrier to entry and accelerate the transition from experimental to production‑grade quantum computing. The long‑term roadmap aims to expand the user base beyond early‑adopter research groups, creating a robust ecosystem where commercial and scientific stakeholders jointly develop and deploy quantum‑enhanced solutions.

Joint AI Powered Quantum Error Decoding Using Transformer Models Outperforms Traditional Approaches and Brings Fault Tolerance Closer

QuEra and NVIDIA have developed a transformer neural‑network‑based error‑decoding framework. Engineers trained transformer models on NVIDIA’s accelerated‑computing platform, harnessing GPU clusters to process the vast volumes of syndrome data generated by neutral‑atom processors. The resulting decoders surpass conventional maximum‑likelihood algorithms, delivering higher decoding accuracy while scaling more efficiently with qubit count. The transformer approach mitigates the exponential computational cost of maximum‑likelihood decoding, achieving lower logical error rates and reducing the overhead required for fault‑tolerant operation. Research is conducted at the NVIDIA Accelerated Quantum Center in Boston, where QuEra hardware is coupled to NVIDIA’s GB200 NVL72 GPU clusters, and at the Gemini‑class QuEra computer installed at Japan’s ABCIQ system, evaluating the decoders in a national testbed for fault‑tolerant algorithms. This demonstrates that AI‑driven decoding can outperform established methods, improving scalability, enabling larger circuits with fewer physical qubits, and accelerating the timeline for real‑world quantum applications while exemplifying how hybrid quantum‑classical systems can deliver tangible performance gains.

Strategic Partnerships with Amazon Web Services and AIST Create National Testbeds and Accelerate the Path to Practical Quantum Supercomputing

QuEra’s $230 million Series B round, led by NVentures, underscores the company’s expanding network of partners. A long‑standing collaboration with Amazon Web Services and a newly formalised partnership with Japan’s Institute of Advanced Industrial Science and Technology (AIST) create national testbeds that bring neutral‑atom quantum computing into the practical realm of high‑performance supercomputing. At AIST, a Gemini‑class QuEra computer sits adjacent to more than 2,000 NVIDIA H100 GPUs that power the ABCIQ system; the two platforms are linked through NVIDIA’s CUDAQ software stack, enabling seamless data exchange. This integration produces a national testbed supporting fault‑tolerant algorithm development and quantum‑workflow optimisation, with AI techniques applied to error‑correction and performance tuning. The testbed allows researchers to benchmark hybrid workloads in a real‑world, large‑scale environment that mirrors the architecture of future commercial quantum‑supercomputing deployments. The AWS partnership provides access to its expansive cloud infrastructure and AI services; QuEra hardware can be provisioned on AWS, allowing developers to experiment with hybrid workloads without on‑premises supercomputing resources, reducing the entry barrier for high‑performance computing centres and accelerating the feedback loop between algorithm design, AI‑assisted error decoding, and hardware iteration. Together, the on‑premises testbed at AIST and the cloud‑based capabilities of AWS create a dual‑channel ecosystem that bridges research and commercial deployment, shortening the timeline from laboratory demonstration to practical, fault‑tolerant quantum supercomputing and positioning neutral‑atom quantum computing at the forefront of next‑generation high‑performance computing.