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October 30, 2026Mohamed Abdel-Kareem

BTQ Technologies Integrates QPerfect MIMIQ Quantum Emulator into qBraid Cloud Platform

BTQ Technologies has integrated its QPerfect MIMIQ quantum emulator into the qBraid Cloud Platform, offering developers access to large-scale quantum…

BTQ Technologies Integrates QPerfect MIMIQ Quantum Emulator into qBraid Cloud Platform

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

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BTQ Technologies Integrates QPerfect MIMIQ Quantum Emulator into qBraid Cloud Platform | Quantum Computing Report