Run hybrid quantum–classical workloads with managed simulators, calibrated QPU access, and deterministic scheduling. Enterprise SLAs included.
from quirkyqubits import Circuit, cloud
# Initialize quantum circuit
c = Circuit(qubits=4)
c.entangle(0, 1)
c.entangle(2, 3)
# Execute on cloud QPU
job = cloud.submit(
circuit=c,
backend="simulator_xlarge",
shots=8192
)
print(job.result())Production-ready quantum infrastructure with enterprise features and reliability
High‑fidelity quantum simulators and calibrated QPU access with guaranteed SLA‑backed availability and performance.
Seamlessly orchestrate classical preprocessing and quantum execution within unified workflow pipelines.
Complete job traces, queue latency metrics, deterministic retries, and comprehensive audit logging.
Distributed microservices architecture built for reliability and scale
Python & JavaScript SDKs, REST & gRPC APIs with built-in circuit validation and optimization.
OAuth2 authentication, workload isolation, intelligent rate-limiting, and request signing.
Circuit compilation, transpilation, intelligent scheduling, and noise mitigation algorithms.
High-performance simulators, QPU provider integrations, and adaptive fallback routing.
Dedicated job queues, per‑tenant encryption keys, isolated runtime contexts.
SOC‑aligned controls, full audit logging, exportable execution traces.
Private endpoints, VPC peering, zero‑trust service boundaries.
QuirkyQubits Cloud is currently in private development. Register now to get notified at launch and secure an exclusive 30% lifetime discount on all paid plans.
Early-access users will receive launch updates, documentation previews, and priority onboarding.
Up to 1k simulator shots/day, shared queue.
Pay‑per‑shot pricing with priority scheduling.
Reserved capacity, SLAs, private networking.
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