Add Multiverse Computing Singularity Machine Learning Tutorial

[sepehr-multiverse]

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One or more of the following people are relevant to this code:

• @annaliese-estes
• @miamico

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[pandasa123]

Some notes from the call + @valeriechiang for additional:

• Instead of using time(), I recommend using the job.result()['metadata'] for QPU time etc
• Please go into deeper detail into results analysis. This reads a bit like Quantum Advantage, this needs to be a more nuanced and detailed take (+ @miamico, @nathanearnestnoble technical review)
• I'd recommend going into greater detail on how num_learners and regularization impact result quality vs QPU usage (or other metric). I think it's worthwhile showing multiple results across several configurations to help users understand how to configuration

[valeriechiang]

Additional notes from the call:

• Use backend type instead of name (ie. Eagle r3)
• More background (link to papers, equations, why you should care about this problem, etc.)
• Remove pip install cell
• 4 step format alignment (ie. Step 1: Map classical inputs to a quantum problem)

Everything else was covered by @pandasa123

Timeline:

1. Next draft by EOW
2. Review and copy-editing
3. Publish tutorial by QDC (hopefully earlier for signed out experience)