Quantum-ready applications™
for

learning

Don’t choose a framework: Orchestrate across them all with one unified platform.

How Orquestra Works

Orquestra automates the management of your quantum stack,
from software to hardware.

Build

Build quantum-enabled workflows® in Python, by yourself or with Zapata. Use Zapata tasks, your own tasks, and open-source libraries.
Software
Zapata Proprietary Techniques
Quantum
Qiskit,
Cirq,
Ocean™,
OpenFermion,
PennyLane,
PyQuil
Machine Learning
PyTorch,
Scikit-learn,
TensorFlow
Finance
QuantLib
Chemistry
NWChem, Psi4

Orchestrate

Orquestra Runtime executes tasks where they need to run, across any quantum or classical backend.
Hardware
Superconducting Qubits
IBM,
Rigetti,
D-Wave
Ion Traps
IonQ,
Quantinuum
Quantum Annealers
Photonic Qubits
Dedicated Classical Hardware
Quantum Circuit Simulators
Cirq qsim, Intel-QS, PyQuil QVM, Qiskit Aer, Qulacs

Deploy

Deploy Orquestra runtime locally or remotely in Zapata’s cloud or your private cloud.  Convert workflows into Application containers for production.
Runtime Options
Local Runtime
Orquestra Cloud Runtime
Private Cloud Runtime
(available with Engagements)
AWS, Google Cloud Platform, IBM Cloud, Microsoft Azure
Supported Quantum Hardware
Product integrations coming in 2020/21. Sign up for the latest updates on product releases.
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Unify software and

hardware

Orquestra’s workflow approach doesn’t replace SDKs and Python modules, it unifies them with a software approach designed for quantum teams.

Leverage Zapata’s proprietary algorithms, custom tasks and workflows.
Compose solutions with modular tasks, delve deeper into the code when you need.
Swap in new quantum hardware as it becomes available.

Enterprise scale

Large computational power without the large headache. Orquestra deals with scaling compute resources to match your problem so you don't have to.

Iterate and re-run across backends.
Go beyond toy problems and notebooks.
Run on scaled up public OR private cloud resources.

Manage results

Python API retrieves results from any run, anytime, anywhere.

Export Python objects into formats for you favorite analysis tools.
Find errors faster by viewing data produced at each step in the workflow.
Share data and workflows with teammates easily.

What our users say

Orquestra stitches a lot of standalone pieces together. Having a tool to define an algorithm and then submit to quantum devices? That was missing until now.

Researcher at National Lab

Orquestra gives us the opportunity to make bigger projects tractable.

Professor of Quantum Information Science

Orquestra is for everyone who wants to experiment with hybrid quantum-classical algorithms.

Quantum ML User

Orquestra unifies and modularizes the fragmented quantum ecosystem... so you don't have to choose one framework in these early days.

Quantum Analyst

Orquestra Updates

Get announcements, workshop invitations, and quantum superpowers.

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