Quantum workflows for

learning

Don’t choose one framework: orchestrate across them all with quantum’s only workflow management platform.

How Orquestra works

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

Compose

Build quantum-enabled workflows from Zapata components, your own code, and open-source libraries.
Software
Integrated Libraries
Cirq
OpenFermion
PyQuil
Qiskit
Psi4
Scikit-learn
TensorFlow
PennyLane
Supported Languages
Python
Julia
Q#
Install methods
Git - eg. libraries you author
pypi - eg. qbsolv, gpyopt, quantlib

Conduct

Smart backend deploys workflows, orchestrating across quantum and classical hardware.
Hardware
Superconducting Qubits
IBM
Rigetti
Ion Traps
Honeywell
IonQ
Quantum Circuit Simulators
Forest
IBM
Qiskit
qHiPSTER
Qulacs
Photonic Qubits
Quantum Annealers
Dedicated Classical Hardware

Record

Analyze intermediate and final data, iterate and reproduce at scale.
Data & Analytics
Exports
Pandas Dataframe
JSON
CSV
Excel Worksheet
Postgres
Compatible With
Tableau
Excel
Jupyter Notebooks
Product integrations coming in 2020. Sign up for the latest updates on product releases.
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Plug & play

steps

Orquestra’s workflow approach unifies code from the best libraries and frameworks

Leverage Zapata’s proprietary components and algorithms.
Work at a high-level of abstraction across backends while also leveraging low-level features.
Swap in new quantum hardware as it becomes available.

Get more

scale

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

Deploy and re-run across backends.
Go beyond toy problems and notebooks.
Scale up and parallelize via containerization.

Automate

data

Orquestra automatically aggregates and collates data into JSON files.

Pull results into your favorite analysis tool seamlessly.
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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