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The goal of the JobSequencing problem is as follows. Given workers and jobs, where each job has a designated length, assign each of the jobs to one of the workers such that largest total length assigned to a worker is minimized

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.devcontainer		.devcontainer
testnet		testnet
Dynex_hello_world.ipynb		Dynex_hello_world.ipynb
README.md		README.md
quantum_job_sequencing.ipynb		quantum_job_sequencing.ipynb

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Dynex SDK Template

Dynex is the world’s only accessible neuromorphic quantum computing cloud for solving real-world problems, at scale.

Usage

Launch in Github Codespaces and wait until the codepsace is fully initialised
Add your account keys by drag&drop of your dynex.ini into the main folder
Run the demo by opening the Jupyter notebook file *.ipynb

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The goal of the JobSequencing problem is as follows. Given workers and jobs, where each job has a designated length, assign each of the jobs to one of the workers such that largest total length assigned to a worker is minimized

quantum-computing free job-scheduling job-sequencing dynex

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Jupyter Notebook 100.0%