Platform

The complete fault-tolerant execution stack.

Three integrated components. One coherent runtime. From logical circuit to physical hardware execution.

Decoder Engine Circuit Compiler Hardware Backends

Architecture

Data flow: user circuit to physical execution

Decoder Engine

MWPM and Union-Find decoder implementations
Per-device edge weight calibration from hardware noise data
Sub-millisecond syndrome decode cycle at code distance 5–7

Decoder Engine details →

Circuit Compiler

Logical-to-physical gate decomposition for surface codes
Magic state distillation for T-gate implementation
Clifford+T circuit optimization for current noise budgets

Circuit Compiler details →

Hardware Backends

Superconducting transmon, trapped-ion, neutral atom support
Custom backend onboarding via noise model JSON schema
Connectivity graph specification for arbitrary topologies

Hardware Backends details →

Integration

Python API and REST interface

QECSync integrates with your existing quantum control software via a Python SDK and a REST API. No need to rebuild your experiment stack — QECSync plugs into the compilation and decoding layer.

API Reference →

example.py

import qecsync

# Load device noise model
device = qecsync.Device.from_calibration("device_cal.json")

# Configure surface-code decoder
decoder = qecsync.Decoder(
    code_distance=5,
    backend="mwpm",
    device=device
)

# Decode a syndrome measurement
corrections = decoder.decode(syndrome_bits)
→ [Pauli('X', 3), Pauli('Z', 7)]  # correction ops

See what QECSync achieves on synthetic benchmarks

See Benchmarks

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