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BTQ Technologies says MIMIQ, a quantum emulator developed by its subsidiary QPerfect, is now available through qBraid’s managed API. The integration lets qBraid users submit circuits without setting up separate MIMIQ infrastructure, though simulation scale depends on the circuit and the method’s limits.
BTQ Technologies announced that its MIMIQ quantum emulator, developed by wholly owned subsidiary QPerfect, is now available through qBraid’s managed API. The integration gives qBraid users a way to submit circuits to MIMIQ without setting up separate emulator infrastructure, extending their options for testing quantum software before running it on quantum hardware.
MIMIQ combines optimized state-vector emulation with Matrix Product State (MPS) techniques. BTQ says this approach can simulate circuits involving thousands of qubits and millions of gates, subject to the limits of the simulation method. MPS represents quantum states in a compressed form; its usefulness depends in part on the circuit’s entanglement and the approximation choices used in the simulation.
Through the integration, users submit circuits from qBraid Runtime using the managed API. The companies say developers can use MIMIQ to examine algorithms at larger sizes, study noise, test error-correction protocols and explore circuits that exceed the practical reach of exact state-vector simulation. Those are stated uses of the emulator, not a claim that simulated results will match the performance of a physical quantum processor.
The connecting Provider Plugin is open source under the Apache License 2.0 and builds on QPerfect’s mimiqcircuits-python library, according to the announcement. BTQ said qBraid’s community includes more than 35,000 developers. The release did not give pricing, usage limits, or details of the hardware and service capacity available to users.
A New Route to Larger Circuit Tests
The integration offers quantum software developers another way to test circuits before using quantum processing unit (QPU) time. Classical simulation can help teams debug code, investigate noise assumptions and compare approaches, while access through qBraid may reduce the setup needed to use MIMIQ. That could be useful for developers who already work in qBraid’s environment and want to try a different simulation method.
However, emulation is not a substitute for running a circuit on quantum hardware. MPS-based methods make some larger simulations possible, but they do not remove computational limits, and accuracy can depend on the structure of the circuit and on approximation settings. The announcement provides no independent performance results for the qBraid deployment, so the practical scale and speed available to individual users remain unverified.
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How MIMIQ Fits the qBraid Platform
Conventional exact state-vector simulation stores information whose memory demand grows exponentially as qubits are added. BTQ’s announcement describes MIMIQ as combining this approach with MPS techniques, which can represent some states more compactly. That can extend simulation to larger circuits in cases where the compressed representation remains effective, but it does not make every circuit involving thousands of qubits tractable.
qBraid provides developers access to quantum devices and simulators through its platform. The companies say the MIMIQ connection uses qBraid Runtime and its managed API, allowing users to access the emulator through an existing workflow. qBraid has also served as the official development platform for MIT’s iQuHACK for five consecutive years, according to the supplied announcement. The companies point to Quantum Developer Day on December 7, 2026, and Q2B26 x Chicago Quantum Summit, scheduled for December 8–10, as opportunities to learn more.
“Quantum computing requires more than advances in hardware. Developers need the software infrastructure to design, test, and validate increasingly complex quantum algorithms.”
— Olivier Roussy Newton, CEO of BTQ Technologies
Limits and Access Details Still Open
The announcement does not specify pricing, quotas, queue times, or account requirements for using MIMIQ through qBraid. It also does not provide independent benchmarks showing how the managed deployment performs across different circuit types, or how its results compare with other simulators.
The stated capacity of thousands of qubits and millions of gates is a broad capability claim, not a guarantee that every circuit of that size can be simulated accurately or within a particular time. The release notes that MPS use involves controlled truncation error but gives no general error thresholds or configuration guidance. Those practical details will shape how developers can use the service.
Developers Can Test the Integration
qBraid users can access MIMIQ through qBraid Runtime and the managed API, according to the companies. The open-source provider plugin and QPerfect’s mimiqcircuits-python library offer developers a route to inspect and use the connection; exact onboarding steps and any usage conditions were not included in the supplied announcement.
The companies also identified Quantum Developer Day on December 7 and the Q2B26 x Chicago Quantum Summit, running December 8–10 in Chicago, as upcoming venues for information about the technology. Further details on access, supported workflows and real-world performance may emerge as developers use the integration.
Key Questions
What was announced?
BTQ Technologies said its MIMIQ quantum emulator, developed by QPerfect, is now accessible through qBraid’s managed API.
What can developers use MIMIQ to do?
The companies say developers can use it to test algorithms, study noise, explore error-correction protocols and simulate some circuits beyond the practical reach of exact state-vector methods. Results remain subject to the simulator’s limits.
Does MIMIQ run circuits on quantum hardware?
No. MIMIQ is an emulator that simulates quantum circuits. The announcement describes it as a way to test software before using a physical quantum processor.
How many qubits can MIMIQ simulate?
BTQ says MIMIQ can simulate circuits involving up to thousands of qubits and millions of gates. This is conditional on the limits of the simulation method and does not mean every circuit at that scale can be simulated efficiently or accurately.
Is access free, and what are the usage limits?
The announcement does not state pricing, quotas, queue times or account requirements. Users should check qBraid’s service information for current access terms.
Source: thequantuminsider.com
