QPerfect's MIMIQ emulator goes live on qBraid's managed API
BTQ Technologies' subsidiary QPerfect has made its MIMIQ state-vector and MPS emulator available to qBraid's 35,000-plus developers, free to run for now.
Developers on qBraid's quantum cloud can now send circuits to MIMIQ, the large-scale emulator built by QPerfect, the Strasbourg software company wholly owned by BTQ Technologies. QPerfect and qBraid announced the integration on October 29, and BTQ issued its own release the same day.
What was announced
MIMIQ is now reachable through qBraid's managed API, so users submit jobs from qBraid Runtime without setting up any MIMIQ infrastructure or holding a QPerfect account. The provider plugin that links the two systems is open source under the Apache License 2.0 and builds on QPerfect's open-source mimiqcircuits-python library. qBraid says its platform has more than 35,000 developers.
According to qBraid's documentation, MIMIQ appears as two devices: an exact state-vector emulator limited to 32 qubits, and a matrix product state (MPS) emulator with no fixed qubit limit. MIMIQ currently costs 0 credits to run on qBraid, and because MIMIQ takes OpenQASM, qBraid transpiles circuits written in Qiskit, Cirq, Braket, pyQuil or pytket before submission. The qBraid announcement adds that jobs can also be submitted in plain English from the AI tab in a qBraid account.
The technical details
Exact state-vector simulation hits a memory wall because the memory needed doubles with each added qubit. MPS methods store a compressed version of the quantum state, which stays tractable as long as entanglement across the circuit remains limited. The companies say MIMIQ can handle up to thousands of qubits and millions of gates for circuits suited to MPS.
qBraid's documentation is candid about the trade-off: a strongly entangled circuit can come back approximate, and each MPS result reports how exact it was. Users can tune settings such as bond dimension, truncation cutoff and time limits through runtime options.
The scale claim rests on a QPerfect benchmarking study of seven emulators on 13 MQTBench circuits ranging from 4 to 1,024 qubits. It found that MPS-based emulators performed best overall, solving 8 benchmarks at the full 1,024-qubit size and 12 at 100 qubits or more in under five minutes.
Why it matters
The pitch is practical: developers can check algorithms, study noise and test error-correction protocols at sizes nearer to real hardware before spending QPU time. qBraid CTO Ryan Hill also pointed to AI agents that design and iterate on circuits, saying MIMIQ gives them "a place to run those circuits before they ever touch hardware."
For BTQ, the deal puts a product from its QPerfect subsidiary in front of a large developer audience. BTQ CEO Olivier Roussy Newton framed it as part of building software infrastructure for quantum computing, alongside hardware advances.
What to watch
The companies are pointing developers to qBraid's Quantum Developer Day at the Microsoft Innovation Hub in Chicago on December 7, 2026, and to the Q2B26 x Chicago Quantum Summit on December 8–10 for more detail. Usage, and whether MIMIQ stays free to run on qBraid, will show how much demand there is for large-scale emulation. The Quantum Insider republished BTQ's release on November 2.
Sources
Facts on this page come from the sources below, retrieved by DesignQuantum.
- QPerfect and qBraid Bring MIMIQ's Large-Scale Emulation to Tens of Thousands of Quantum Developers (QPerfect) qperfect.io
- QPerfect's MIMIQ Large-Scale Quantum Emulation Is Now Available on qBraid (qBraid) qbraid.com
- BTQ Technologies' MIMIQ Emulator Now Available to More Than 35,000 Quantum Developers on qBraid (BTQ via PR Newswire) prnewswire.com
- QPerfect MIMIQ (qBraid documentation) docs.qbraid.com
- Comparative Benchmarking of Utility-Scale Quantum Emulators (QPerfect) qperfect.io
- BTQ Technologies Brings MIMIQ Quantum Emulator to qBraid (The Quantum Insider) thequantuminsider.com