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qBraid Launches OS for Quantum Hardware Operators
qBraid introduced qBraid OS on October 21, 2026, to manage access, scheduling and billing for quantum computers alongside NVIDIA accelerated computing. Seven organizations, including IBM, IonQ and Diraq, are early-access partners.
Quantum.world Team · Written with AI · fact-checked ·
qBraid says its platform connects developers to systems from 18 quantum hardware providers. On October 21 at NVIDIA GTC Berlin, the Chicago company introduced qBraid OS, software that lets hardware providers and system operators manage quantum computers as services. The system handles user access, job scheduling and billing while coordinating a processor with NVIDIA accelerated computing. qBraid says the software can run on premises or in the cloud.
One operating layer for quantum systems
Quantum hardware teams often build the software around a processor themselves: accounts, queues, cloud access, usage records and control-electronics connections. qBraid OS packages those functions into a system that operators can use for customer-facing services or for private research access. It can connect through an existing processor interface or directly to the system’s control electronics.
The product draws on infrastructure qBraid says it already built and operates for its cloud platform. The company says that platform serves more than 35,000 developers across over 1,700 companies and about 1,200 universities in more than 120 countries. Those are qBraid’s figures; the company did not provide independent usage data in its announcement.
CUDA-Q brings GPUs into the job schedule
qBraid OS is designed to schedule quantum processors and NVIDIA accelerated computing together, including systems connected through NVIDIA NVQLink. qBraid says CUDA-Q gives developers a route to access systems running the new software, using code they already write for other qBraid hardware. The company says GPUs can handle quantum error-correction decoding and classical processing during quantum jobs.
The software also includes defined integration points for compilers, optimizers, error-mitigation tools and resource-estimation services. qBraid’s stated aim is for each tool to integrate with its system once rather than separately with each hardware platform. The announcement describes those as capabilities of the product, but gives no performance benchmarks or customer deployment results.
AI agents work within operator permissions
Setup and day-to-day operation are designed to be carried out with AI agents, but operators set the agents’ permissions. The company’s product description says a person must approve steps that change who can use a system. Operators can also configure accounts, reservations, usage metering and billing, with billing available for commercial services and optional for internal use.
“Companies building quantum computers should be able to spend their time on the hardware,” said Kanav Setia, CEO of qBraid. “qBraid OS gives them the software we have built and run for our own platform, connected to NVIDIA accelerated computing, so their systems are ready for users sooner.” Kanav Setia, CEO of qBraid
Seven organizations enter early access
qBraid says the software is available now to early-access partners Diraq, Quobly, IBM, MemQ, Quantum Machines, Equal1 and IonQ. The company describes deployments ranging from a hardware maker’s own lab to a supercomputing center, where quantum processors can run alongside GPU and high-performance computing systems.
The announcement does not state a price or a general release date. For now, the named early-access partners are the clearest indication of who can use qBraid OS.