TL;DR
Get the latest gadgets delivered free with Prime
- Fast, free delivery on millions of items
- Prime Video, Amazon Music and more included
- Member-only deals all year
BTQ Technologies says MIMIQ, a quantum emulator developed by its subsidiary QPerfect, is now accessible through qBraid’s managed API. The integration gives qBraid users another way to simulate large circuits, subject to MIMIQ’s method-specific limits; pricing, access tiers and performance details were not specified in the announcement.
BTQ Technologies announced that its MIMIQ quantum emulator, developed by wholly owned subsidiary QPerfect, is now available through qBraid’s managed API. The integration lets developers submit circuits from qBraid Runtime without setting up separate MIMIQ infrastructure, expanding the simulation tools available on a platform used by a developer community that qBraid says numbers more than 35,000.
MIMIQ combines state-vector emulation with Matrix Product State (MPS) methods. BTQ says the approach can simulate circuits with thousands of qubits and millions of gates, depending on the circuit and the limits of the simulation method. MPS represents quantum states in a compressed form; its usefulness depends on factors including the degree of entanglement and the truncation error allowed.
Through the integration, users submit circuits to MIMIQ from qBraid Runtime using the managed API. BTQ says developers can use the emulator to test algorithms at larger scales before using quantum processing unit time, examine noise effects, and explore error-correction protocols. The announcement also describes running circuits beyond the reach of exact state-vector simulation, while acknowledging that MPS-based simulation involves controlled truncation error.
The connection is provided by a provider plugin that the companies say is open source under the Apache License 2.0. It builds on QPerfect’s open-source mimiqcircuits-python library. The announcement did not provide independent performance comparisons for the qBraid service or specify usage limits, prices, or which account levels can access it.
More Simulation Options on qBraid
The integration adds a route for quantum developers to test circuits that may be too large for conventional exact state-vector simulation, without first configuring a separate MIMIQ installation. That could make it easier for teams already using qBraid to compare algorithms, explore noise assumptions, and refine circuits before seeking access to physical quantum hardware.
Emulation does not replace a quantum processor: it models circuit behavior using classical computing resources, and results are bounded by the emulator’s methods and computational constraints. MPS techniques can extend the scale of simulations in suitable cases, but the compressed representation introduces approximation choices. The practical value for a particular project will depend on circuit structure, accuracy needs, available compute resources and the service’s operating limits, details not laid out in the announcement.
For qBraid, adding MIMIQ broadens the set of tools available through the same platform interface. For BTQ and QPerfect, distribution through an existing developer platform may make their emulator more accessible to users who would otherwise need to install and manage it separately. Those are potential benefits of the integration; the announcement did not report adoption figures or measured outcomes.
Popular right now
KitchenAid Artisan 5-Quart Tilt-Head Stand Mixer, Almond Cream
Apple AirPods Pro 3 Wireless Earbuds with Active Noise Cancellation
Vitamix 5200 Professional-Grade Blender, 64 oz. Container, Black
As an affiliate, we earn on qualifying purchases.
How MIMIQ Reaches qBraid Users
BTQ describes itself as a quantum technology company focused on advancing quantum-internet infrastructure. MIMIQ is developed by its wholly owned subsidiary QPerfect. The product is an emulator, not a quantum processing unit: it uses classical computation to model quantum circuits.
Traditional exact state-vector simulation represents a circuit’s quantum state in a way whose memory demands grow exponentially with the number of qubits. MIMIQ’s combination of state-vector and MPS techniques is intended to extend simulation to some larger circuits. The ability to do so depends on how well a circuit’s state can be represented by the MPS approach; the advertised scale is not a guarantee that every circuit with thousands of qubits can be simulated at a given accuracy.
qBraid provides developers access to quantum devices and simulators through its platform. BTQ’s release says qBraid has more than 35,000 developers and has served for five consecutive years as the official development platform for MIT’s annual iQuHACK. Those figures and descriptions are provided by the companies in the announcement.
“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
Access, Pricing and Simulation Limits
The announcement does not state pricing, usage quotas, availability by account tier, or whether access is open to every qBraid user. It also gives no service-level performance data, such as typical run times, hardware requirements behind the managed API, or the largest circuits tested under specified accuracy conditions.
BTQ’s description of simulations involving thousands of qubits and millions of gates is a capability claim, not a statement that every circuit at those sizes can be simulated. Results depend on circuit properties and, for MPS, on compression and truncation settings. The cited benchmarking paper is named in the release, but the qBraid announcement does not provide benchmark results for this deployment.
Developer Events in December
BTQ and qBraid pointed developers to Quantum Developer Day on December 7, 2026, at the Microsoft Innovation Hub in Chicago, followed by Q2B26 x Chicago Quantum Summit, scheduled for December 8–10. The companies said developers can learn more at those events. The announcement did not give a separate timetable for further service features or publish a roadmap for the integration.
The next practical indicators will be how access is offered through qBraid Runtime and what technical documentation, usage terms and performance information the companies provide. Until those details are available, developers will need to check the platform for current availability and assess MIMIQ’s suitability against their own circuit and accuracy requirements.
Key Questions
What did BTQ announce?
BTQ Technologies said its MIMIQ quantum emulator, developed by subsidiary QPerfect, is available to qBraid users through qBraid’s managed API.
Does MIMIQ run circuits on a quantum computer?
No. MIMIQ is an emulator that uses classical computing to model quantum circuits. The announcement describes it as a way to test circuits and algorithms before using quantum hardware, not as a quantum processor.
How does MIMIQ aim to simulate larger circuits?
It combines state-vector emulation with Matrix Product State techniques. MPS can compress a representation of a quantum state, but the method’s applicability and accuracy depend on the circuit and truncation settings.
How can qBraid users access it?
The companies say users can submit circuits through qBraid Runtime using the managed API, without setting up separate MIMIQ infrastructure. They did not specify pricing, account eligibility or usage limits in the announcement.
What remains unknown about the service?
The release does not detail prices, quotas, service performance, or the accuracy and runtime achieved for particular circuits on the qBraid deployment. MIMIQ’s advertised scale also should not be read as a guarantee for every circuit.
Source: thequantuminsider.com
