Release Date: 2019-06-26
Previously available only as a developer preview, D-Wave™ Hybrid is now generally available and part of the Ocean™ SDK.
D-Wave Hybrid provides a simple, open-source hybrid platform for building and running quantum-classical hybrid applications. Use it to build a variety of flexible workflows so resources can be used in parallel to find the optimal solution to a problem.
D-Wave Hybrid provides out-of-the-box workflows to get you started. As a first step, try Kerberos, a workflow in which D-Wave Hybrid coordinates the work between your laptop’s CPU and the quantum computer to find solutions, such as finding a valid map coloring. You can later use the framework to optimize a hybrid workflow best-suited for your particular problem.
Note: The Feature Selection Jupyter Notebook uses a hybrid sampler, so it's a good way to get started with D-Wave Hybrid.
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As of February 26, 2020, we have made it even easier to use hybrid approaches to problem solving.
Try using our new hybrid solver, which you will see on your Leap Dashboard as hybrid_v1. It accepts problems of up to 10,000 variables fully connected!
Submit the problem through Ocean as you would any other problem to the D-Wave system, but specify the new LeapHybridSampler in your Python program:
from dwave.system import LeapHybridSampler
Take a look at our Knapsack example in Github, which is designed to demonstrate the usage of the hybrid solver. https://github.com/dwave-examples/knapsack
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