BTQ Technologies Corp. has integrated MIMIQ—a large-scale quantum circuit emulator developed by its French subsidiary QPerfect—into the qBraid quantum development ecosystem. Accessible via qBraid’s managed API and an open-source provider plugin under Apache License 2.0, the tool provides more than 35,000 registered developers with access to high-dimensional quantum circuit emulation without requiring dedicated local High-Performance Computing (HPC) setup.
| BTQ Technologies / QPerfect MIMIQ Platform Specifications | ||
|---|---|---|
| Architecture Layer | Implementation Details | Developer & Emulation Function |
| Simulation Engine | Hybrid State-Vector and Matrix Product State (MPS) algorithms | Simulates circuits with thousands of qubits and millions of gates where entanglement growth remains bounded. |
| Platform Access | Managed API via qBraid Runtime & mimiqcircuits-python | Enables serverless circuit submission directly from existing qBraid Python SDK workflows and AI agent environments. |
| Error & Noise Modeling | Controlled singular-value truncation & error-correction benchmarking | Allows pre-silicon verification of quantum error correction (QEC) protocols, noise channels, and algorithmic convergence. |
| Open Source Footprint | Provider Plugin released under Apache License 2.0 | Provides standardized interface bridging third-party quantum frameworks to QPerfect‘s Quantum Logic Unit (QLU) stack. |
While exact classical state-vector simulation encounters an exponential memory wall at roughly 45 to 50 qubits, MIMIQ uses tensor-network compression (specifically MPS with controlled singular-value truncation) to scale up to thousands of qubits for low-depth, weakly entangled circuits. However, the architecture’s scalability remains constrained by entanglement growth: circuits featuring high-density entangling gates, 2D/3D all-to-all connectivity, or deep random layers force tensor bond dimensions to expand exponentially, restoring classical simulation boundaries. The integration functions primarily as an algorithmic debugging and pre-hardware validation layer, allowing developers to optimize pulse-level instructions and error-correcting codes before consuming physical quantum processing unit (QPU) runtime.
Technical specifications and commercial access details are documented in the official BTQ Technologies Announcement here.
In GQI Portal
The players behind the news
The team that writes QCR tracks every company, deal and technology in the GQI Factory, GQI's verified database of the quantum industry. Next up: every story linked to its players, coming to QCR's paid plans.
- Players Companies and institutions across the quantum industry, by segment.
- Scorecards How the players compare on hardware, software, funding and more.
Newsletter
QCR Alerts in your inbox
The latest reporting and analysis from Quantum Computing Report. Free, unsubscribe any time.