Run hybrid quantum–classical workloads using managed simulators and hardware backends with deterministic scheduling, observability, and security controls.
# Submit a circuit to QuirkyQubits Cloud
from quirkyqubits import Circuit, cloud
c = Circuit(qubits=4)
c.entangle(0,1)
c.entangle(2,3)
job = cloud.submit(
circuit=c,
backend="simulator_xlarge",
shots=8192
)
print(job.result())
High‑fidelity simulators and calibrated QPU access with SLA‑backed availability.
Orchestrate classical preprocessing and quantum execution within a single workflow.
Job traces, queue latency metrics, deterministic retries, and audit logs.
Python / JS SDKs, REST & gRPC APIs, circuit validation.
OAuth2, workload isolation, rate‑limiting, request signing.
Compilation, transpilation, scheduling, noise mitigation.
Simulators, QPU providers, 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.