Chicago, IL and Strasbourg, France, October 29, 2026 -- QPerfect, the quantum software company behind the MIMIQ emulator and the QLU software stack and operating system, and a wholly owned subsidiary of BTQ Technologies Corp. and qBraid, a cloud platform that gives developers access to a range of quantum devices and simulators, along with AI and agentic tools that help them build and run quantum workloads, today announced that MIMIQ is available to qBraid users through qBraid’s managed API.

Standard state-vector simulators run into a memory wall at a few dozen qubits, because memory requirements double with every qubit. MIMIQ pairs optimized state-vector emulation with Matrix Product State (MPS) techniques, a compressed representation of quantum states that sidesteps this barrier as long as entanglement stays limited. MIMIQ can emulate up to thousands of qubits and millions of gates (Leonteva et al., Comparative Benchmarking of Utility-Scale Quantum Emulators).

The integration brings that scale to qBraid’s community of more than 35,000 developers. They can:

• Validate algorithms at sizes closer to real hardware before using QPU time
• Study noise effects and test error correction protocols at scale
• Explore circuits beyond the reach of exact statevector emulation, using MPS with controlled truncation error

Users submit circuits to MIMIQ from qBraid Runtime through qBraid’s managed API, with no MIMIQ infrastructure to set up. The Provider Plugin that connects the two is open source under the Apache License 2.0 and builds on QPerfect’s open-source mimiqcircuits-python library.

“At QPerfect we build the full software stack quantum teams need to get from algorithm to hardware, and emulation at scale is one essential step on that path. Developers are designing circuits too large for exact statevector emulation, and they need to test them before hardware time is available. qBraid’s community already builds and tests quantum software on the platform, and MIMIQ is now a few lines of code away for them. We’re excited to see what they build,” said Philippe Blot, CEO of QPerfect.

“Developers on qBraid are increasingly working at scales that exact simulation can’t reach, and many of them now build alongside AI agents that design, test, and iterate on circuits for them. MIMIQ gives both a place to run those circuits before they ever touch hardware, through the same SDK they already use for every other device on qBraid. We’re excited to bring QPerfect’s emulation technology to our community,” said Ryan Hill, CTO of qBraid.