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.
October 30, 2026