platform.

Introducing OrquestraTM

The platform for
quantum-enabled workflowsTM

How Orquestra works

Compose quantum-enabled workflowsTM and execute freely
across the full range of quantum devices.

01

Compose quantum workflows

02

Conduct experiments across quantum and classical hardware

03

Record results, packaged in a database

Orquestra is being used with leading hardware interfaces:

(More Coming Soon)

A closer look

How Orquestra Works: deep dive.

01 – Compose quantum workflows

02 – Conduct experiments across quantum and classical hardware

03 – Record results, packaged in a database

01 – Compose quantum workflows

01 – Compose quantum workflows

Work at the right level- tools to create experiments but get close to the hardware when you need.

Compose workflows in the YAML-compatible Zapata Quantum Workflow Language (ZQWL).  Arrange component tasks and algorithms, and tune parameters across experiments and quantum devices. Organize and share workflows by the project.

Leverage Orquestra’s open-source and proprietary quantum libraries. Wrappers exist for open-source algorithms (e.g., from Qiskit, Cirq, and Forest). ​Industry and use case-specific Orquestra Pro Packs are available, which include Zapata’s proprietary algorithms, optimized implementations of public algorithms, and specialized data post-processing.

02 – Conduct experiments across quantum and classical hardware

02 – Conduct experiments across quantum and classical hardware

Deploy, Scale, parallelize— get the resources you need.

 Submit your workflows to the Orquestra Quantum Engine (OQE) servers via REST API. Run-on quantum and classical devices including quantum gate model computers, quantum annealers, and quantum-inspired classical devices.

03 – Record results, packaged in a database

03 – Record results, packaged in a database

Data management that gets you answers fast.

The Orquestra Data Correlation Service (ODCS) organizes intermediate and final workflow data in a secured Mongo Database. Export data for analysis in Excel, a Jupyter notebook, or Tableau. Advanced quantum analytics tools and custom post-processors available.

Orquestra leverages a range of quantum technologies.

Orquestra doesn’t just run on all the quantum hardware.  We use Orquestra to squeeze top performance from quantum devices.  Zapata does this with deep hardware company partnerships and years of R&D. We have algorithms and techniques to uniquely leverage the strengths of each device across the full range of quantum technologies:  ​

  • Quantum-inspired classical: We have insight on how we can leverage classical computing techniques available today in novel ways. Our platform, Orquestra, is built to run enterprise workloads that utilize these technologies. ​
  • Quantum annealing: Several Zapata scientists have worked with quantum annealers since their beginnings.
  • Quantum gate model: Hardware companies are exploring a range of methods to build gate model quantum computers. Zapata has deep expertise in gate model algorithms and physics that underly these incredible machines. We aim for Orquestra users to be the first to achieve a quantum advantage.
Orquestra Quantum Use Cases

A Selection of Quantum Use Cases. Proprietary Zapata techniques in green.

Finance

Healthcare & Pharmaceuticals

Transportation & Logistics

Materials

Energy & Utilities

Aerospace & Automotive

Chemistry

Digital Content

Blockchain

Defense

Finance

Finance

Optimization

  • Sampling from risk-neutral probability measure for asset pricing
  • Portfolio optimization by quantum annealing or gate-model quantum heuristics
  • Improved asset allocation by quantum-inspired optimization

Simulation & Modeling

  • Quantum-assisted Monte Carlo for derivative pricing, credit valuation adjustment
  • Imaginary-time propagation for multi-asset BlackScholes equation
  • Accelerated sampling from stochastic processes for risk analysis

Modeling Machine Learning

  • Improved graph clustering analysis for anomaly and fraud detection
  • Time series analysis of financial data using quantum Boltzmann machines
  • Dimensionality reduction for financial data using quantum-classical hybrid optimization

Healthcare & Pharmaceuticals

Healthcare & Pharmaceuticals

Optimization

  • Optimal healthcare resource allocation e.g. patient treatment matching and priority scheduling of doctors and therapies
  • Molecular structure analysis by combinatorial optimization
  • Protein design using unconstrained discrete optimization

Simulation & Modeling

  • QM/MM method for molecular binding affinity prediction in drug discovery
  • Ab initio transition state analysis for catalytic reaction simulation
  • Ab initio determination of the crystalline structure of organic molecules

Modeling Machine Learning

  • Quantitative structure-activity relationship (QSAR) using quantum-enhanced supervised learning
  • Molecular screening in drug discovery using continuous latent space
  • Natural language processing for automated lite

Transportation & Logistics

Transportation & Logistics

Optimization

  • Generating efficient transportation routes for vehicle fleets with improved qubit cost
  • Improving timing in job scheduling
  • Disruption management by optimized traffic re-routing

Machine Learning

  • Irregular operation (IROP) prediction using quantum-enhanced supervised learning

Materials

Materials

Optimization

  • Prediction of alloy ground state orderings from cluster expansions

Simulation & Modeling

  • Determining thermodynamics of alloys by applying quantum amplitude amplification to cluster expansion models
  • Ab initio simulations to accelerate materials discovery(e.g., Li-ion electrolytes/electrodes, photovoltaics, catalysts, alloys)

Energy & Utilities

Energy & Utilities

Optimization

  • Finite time-window scheduling in energy allocation for smart grids

Simulation & Modeling

  • Turbulent mixing simulation in predictive environmental modeling for climate change
  • Quantum accelerated stochastic simulation of Reynolds-Averaged Navier-Stokes (RANS) systems

Aerospace & Automotive

Aerospace & Automotive

Optimization

  • Identifying failure modes through fault tree analysis as combinatorial optimization

Simulation & Modeling

  • Variational methods for general linear PDEs arising in engineering design
  • Heat transfer related PDE-constrained optimization for engine design
  • Wave equation simulation using variational linear systems solver

Chemistry

Chemistry

Optimization

  • Process optimization in chemical reaction networks for maximizing yield

Simulation & Modeling

  • Homogeneous and heterogeneous catalysis modeling using electronic structure calculations
  • Singlet-triplet transition energy prediction for OLED molecules
  • Quantum-enhanced force-field methods for chemical dynamics simulation

Digital Content

Digital Content

Optimization

  • Display advertising optimization for maximizing clickthrough rate (CTR)

Machine Learning

  • Hybrid quantum-classical generative modeling for content creation

Blockchain

Blockchain

Optimization

  • Hash collision for proof-of-work cryptocurrency mining

Simulation & Modeling

  • Certified randomness from quantum supremacy for proof-of-stake blockchains

Defense

Defense

Machine Learning

  • Predictive maintenance using variational quantum classifier
  • Anomaly detection by time series analysis using quantum Boltzmann machine
  • Image and audio generation and classification using quantum-enhanced supervised learning

Start your
Orquestra-powered
quantum journey.

The Orquestra quantum platform by Zapata puts you at the forefront of the quantum revolution. If you are building your own team, equip them with Orquestra to put a complete set of the best quantum tools at their fingertips.