Built for quantum researchers and developers running quantum chemistry, combinatorial optimisation, Hamiltonian simulation, and custom variational workflows
Write your algorithm in Python. Qoro handles the parallelisation, backend routing, and scaling across CPUs, GPUs, simulators, and quantum hardware. No infrastructure code. No vendor lock-in.
Why Qoro
How It Works
Divi is Qoro's open-source Python SDK. It's the only thing you interact with directly. Everything else — simulator selection, job scheduling, hardware routing — runs automatically underneath.
VQE, QAOA, PCE, Time Evolution, Custom VQA
Ensemble batch execution, automatic circuit packing, Pauli grouping, multi-core & cloud scaling
Checkpointing with resume, early stopping, graceful cancellation, live progress dashboards
from divi import QoroService
from divi.qprog import QAOA, GraphProblem
import networkx as nx
# Large scale beyond 25 qubits
G = nx.random_regular_graph(50, 100)
qaoa = QAOA(
problem=G,
graph_problem=GraphProblem.MAXCUT,
n_layers=2,
backend=QoroService(),
)
qaoa.run()
print(qaoa.solution)
Divi AI
Divi ships with a built-in AI assistant. Ask it about quantum algorithms, get code snippets, debug your workflows, and build full programs — right from your terminal.
pip install qoro-divi[ai]
Ask in plain English — get working Divi code back
Paste errors, get fixes and explanations instantly
Trained on Divi's full API — always up to date
Get Started
Choose the path that matches how you work.
pip install qoro-divi
VQE, QAOA, PCE, or Time Evolution
Test locally, then scale to Solo cloud
$100 free credit, API key in minutes
Swap your backend to a QPU cluster
Solo handles scheduling across distributed systems
Divi validates and compares against simulation