According to a recent LinkedIn post from qBraid, the company’s platform now includes two GPU-based quantum circuit simulators available to all account tiers. The post highlights an exact state vector simulator supporting circuits up to 35 qubits and a tensor network simulator targeting circuits up to 500 qubits with weak entanglement.
The LinkedIn post suggests substantial performance gains versus CPU-based simulation, citing a 32-qubit circuit running in 2.7 seconds on GPU compared with 2 minutes 43 seconds on 32 server CPU cores. The post also notes that users can transition from simulation to quantum processing units by changing a single line in the qBraid SDK, which may lower friction for experimentation and deployment.
As shared in the post, qBraid positions these simulators as accessible tools, requiring no local installation or separate cluster accounts, with integration designed to support coding-agent workflows. Pricing is described as including a daily allowance of free GPU jobs and usage-based billing beyond that, at approximately $0.05 per minute, implying an estimated cost of around $0.01 for a 35-qubit run.
For investors, this move could indicate a strategic push by qBraid to capture developers and researchers early in the quantum computing adoption cycle, potentially increasing platform stickiness and usage-based revenue. By emphasizing speed, scale, and low entry costs for high-qubit simulations, the post suggests qBraid is competing aggressively in the quantum developer tooling space, which may enhance its visibility and positioning relative to other cloud-based quantum platforms.