NVLink for QPUs
Distributed quantum computing network. Orchestrate workloads across multiple backends with intelligent load balancing, automatic failover, and result aggregation.
Core Capabilities
Everything you need to orchestrate distributed quantum workloads
Multi-Backend Execution
Execute circuits on multiple quantum backends simultaneously with a single API call.
Intelligent Load Balancing
Four strategies: fastest, best_fidelity, round_robin, cost_optimized.
Automatic Failover
Jobs automatically reroute on backend failure. <5s failover time.
Result Aggregation
Combine results from multiple backends with weighted averaging.
Cross-Backend Entanglement
Protocols for distributed entanglement between providers.
Real-Time Metrics
Monitor network health, queue depths, and backend performance.
Supported Backends
Connect to leading quantum hardware providers through a unified API
IonQ
Trapped IonIBM Quantum
SuperconductingRigetti
SuperconductingAWS Braket
Multi-technologyQuantinuum
Trapped IonLocal Simulator
ClassicalLoad Balancing Strategies
fastest
Use backend with lowest queue time
best_fidelity
Use backend with highest fidelity
round_robin
Distribute evenly across backends
cost_optimized
Minimize execution cost
Quick Start
from qcos.network import QuantumNetwork
# Initialize network
network = QuantumNetwork(api_key="qcos_live_...")
# Execute across multiple backends
result = network.execute(
circuit=my_circuit,
backends=["ionq_simulator", "ibm_brisbane"],
strategy="best_fidelity",
shots=1024,
failover=True,
aggregate=True
)
print(f"Backend: {result.backend}")
print(f"Counts: {result.aggregated_counts}")Ready to Scale Your Quantum Workloads?
Start with our free tier or talk to our team about enterprise solutions.