01
Custom Noise Injection
Define bespoke Hamiltonian error matrices to investigate corner cases of theoretical localized degradation.
HamiltonianKraus OperatorsBespoke Noise
Digital Twin Simulation
vQPU Engine.
Scalable virtual quantum processor with 12+ hardware digital twins, custom noise models, and state vector simulation up to 40+ qubits.
Architecture
Core Engine Features
A high-fidelity simulation engine built around hardware-accurate digital twins, scalable tensor networks, and GPU-accelerated execution pipelines.
01
12+ Live Digital Twins
Compile against exact topological parameters mapping to IBM, IonQ, and Rigetti machines locally up to 97% accuracy.
02
Scalable Tensor Networks
Parallel execution of deep entanglements utilizing Matrix Product States (MPS) and PEPS simulation pathways.
03
Noise-Aware Calibration
Simulate crosstalk matrices, thermal relaxation times, and readout errors mimicking specific physical hardware limitations.
04
GPU-Accelerated Pipelines
Harness cloud NVIDIA/AMD clusters automatically for fast multi-shot execution against dense circuit blocks.
Developer Usage
Built for performance
Smart backend routing, fidelity profiling, and API orchestration give developers full control over simulation workloads at any scale.
Routing
Smart Backend Advisor
Profiles your circuit depth and routes execution to the most efficient simulated or physical backend available.
- Heuristic analysis
- Latency checking
- Best-backend routing
Benchmarking
Fidelity Profiling
Compare ideal state vectors against noisy executions within your CI/CD test loops.
- Theoretical baseline mapping
- Noisy matrix comparisons
- Automated regression alerts
Automation
API Orchestration Array
Compile and fire thousands of parameterized circuits through secure API endpoints at scale.
- High frequency API limits
- Encrypted payloads
- Scalable load balancing
Research & Analytics
Deep functional analysis
Purpose-built research primitives for noise injection, stabilizer simulation, and parametric benchmarking across large qubit counts.
02
Clifford & Stabilizer Systems
Simulate stabilizer groups linearly, visualizing error-correction thresholds spanning thousands of logical qubits.
Clifford GroupLinear ScalingQEC Testing
03
Parametric Benchmarking
Test algorithmic scaling metrics against simulated low-fidelity and high-frequency noise profiles simultaneously.
Algorithmic ScalingLow-Fidelity ParamsStress Testing
Software Capabilities
Extended tooling suite
Simulate quantum workloads at scale with digital twins, custom noise models, and hardware-accurate backends — all without touching real QPU time.
BATCHING
Shot Batching
- Aggregate multi-shot job queues
- Sequential execution control
- Batch result aggregation
LIMITS
Decoherence Limits
- Set strict T1 timing boundaries
- Visual decoherence tracking
- Threshold alert system
TOPOLOGY
Custom Topologies
- Build fictional qubit couplings
- Arbitrary connectivity maps
- Visual topology editor
EXPORT
Hardware Connectors
- 1-click export to QPUs
- Identical simulated logic transfer
- Multi-provider support
METRICS
Advanced Readout Metrics
- Post-execution fidelity mapping
- Shot distribution analytics
- Error rate visualization
EXPORT
State Vector Exports
- Download final state matrices
- Multi-format export support
- Compressed output options