Program and run quantum algorithms with unrivaled speed, accuracy, and flexibility.
Universal quantum simulator powered by highly-optimized Matrix Product State engines, with full support for noise models, mid-circuit measurements, and all-to-all connectivity.
Why emulation?
No gate restrictions, all-to-all connectivity.
Hardware-accurate noise, fault-tolerant protocol evaluation.
Amplitudes, fidelity, correlations, entanglement.
Mid-circuit measurements, resets, conditional logic.
Atom loss, erasure, and state-dependent losses, first-class in the MIMIQ™ engine since April 2026.
A dedicated subsystem tracks per-qubit loss state through the circuit, supports stochastic and deterministic events, allows reloading, and queries loss without collapsing the state. A real differentiator for neutral-atom platforms.
Technology behind MIMIQ™
MIMIQ™ integrates highly efficient statevector and matrix product states (MPS) techniques: the gold standard for simulating quantum algorithms and quantum computers. The MPS engine handles arbitrary quantum circuits with millions of gates and entanglement-bounded circuits with thousands of qubits, on a single node.
MIMIQ™ uses Matrix Product States (MPS), highly efficient compressed representations of the full quantum state which makes it possible to simulate quantum circuits with many more qubits than is possible with statevector techniques. MPS simulation can be exact for entanglement-limited circuits, or approximate for large entanglement circuits with accuracy exceeding state-of-the-art quantum computers.
Speed is crucial for testing hybrid quantum algorithms which require many iterations and early fault-tolerant quantum algorithms with millions of gates. MIMIQ™ achieves record fast run times and high fidelities by fully exploiting low level CPU instructions, advanced circuit pre-conditioning and low level memory optimization.
MIMIQ provides greater computing power at your fingertips and at any time. Run your jobs at ease using our managed cloud platform and benefit from continuous upgrades and new capabilities. MIMIQ integrates with your existing quantum workflow with user friendly Python and Julia interfaces as well as native OpenQASM support.
Benchmarking
MIMIQ™’s highly-optimized statevector and Matrix Product State engines deliver some of the fastest reported run times for quantum circuits, across the full range of benchmark suites, from common hybrid workloads to utility-scale circuits.
In a few lines of Python
A 100-qubit GHZ state prepared on the MIMIQ™ cloud and read back with a per-run fidelity estimate. The same Circuit object runs on cloud, on-premise, or HPC, on the right engine automatically. Same API in Julia, and from OpenQASM.
from mimiqcircuits import *
conn = MimiqConnection()
conn.connect() # MIMIQ cloud
c = Circuit()
c.push(GateH(), 0)
c.push(GateCX(), 0, range(1, 100)) # 100-qubit GHZ
c.push(Measure(), range(100), range(100))
job = conn.execute(c, nsamples=1000)
res = conn.get_results(job)
print(res.fidelities[0], res.histogram())
# 1.0 {bs"00…0": 508, bs"11…1": 492}Features
Six headline capabilities, and the engineering behind the speed.
A first-class MPS engine simulates wide, deep circuits on a single node with full all-to-all connectivity. One accuracy dial (the bond dimension) plus a per-run fidelity estimate, so you always know how good the result is.
Full internal state on demand: amplitudes, expectation values, circuit fidelity, qubit correlations, and genuine entanglement diagnostics (entropy, Schmidt rank, bond dimension) at any point in the circuit.
A complete channel library and structured noise models, plus first-class atom loss, erasure, and state-dependent loss, with non-destructive queries. Exactly what neutral-atom platforms need.
Lightning statevector for the complete wavefunction. Large-scale MPS for thousands of qubits, with smart gate fusion, variational compression, and automatic qubit reordering. Selected automatically or by hand. Cloud or on-premise.
Mid-circuit measurement and reset, joint XX/YY/ZZ measurements, conditioning on full bitstring patterns, in-circuit loops, and classical bit logic, all inside the executable circuit.
Native Python and Julia with feature parity, full OpenQASM v2 and v3 support, plus a rich library of algorithmic primitives: QFT, Grover diffusion, phase gradient, Pauli-string rotations, Hamiltonian + Trotter, and an OpenFermion bridge.
Why so fast?
Two strands of engineering keep MIMIQ™ ahead at every scale: fewer, smarter operations, and a hand-tuned core.
Access Plans
Three ways to run MIMIQ™: managed cloud, on-premises single-node, or enterprise multi-node deployment. All include statevector and MPS engines, Python & Julia libraries, and full OpenQASM support.
Researchers, R&D teams, and enterprises
Managed quantum compute, accessible from anywhere via standard Python or Julia. Run quantum algorithms at scale with no infrastructure to maintain. Tiered access from individual researchers to enterprise R&D teams, with continuous upgrades and dedicated support levels.
Single-node deployment for labs & research groups
Run MIMIQ™ on your own infrastructure with a perpetual node-locked license. Unlimited local access, full control over your data, and seamless integration into your existing environment.
Multi-node, cluster & platform integrations
For organizations that need MIMIQ™ at scale across multiple nodes, integrated into existing platforms, or customized to specific requirements. Enterprise licenses are not node-locked and can be deployed flexibly across your infrastructure.
Email support with 48-hour response time during business hours. Access to documentation and community resources.
Email and video call support with 24-hour response time. Guided onboarding session and access to technical engineers.
Dedicated support channel with 4-hour response time. Direct access to quantum scientists for algorithm optimization and best practices.
“MIMIQ is an impressively fast tensor network simulator that has pushed the boundaries of what I thought could be efficiently simulated on CPUs.”
Contact us to learn how MIMIQ can accelerate your quantum computing research and development.