semvec/pypi-packages huggingface dataset:
quantumics 0.0.3
Library for processor agnostic quantum-classical data science and artificial intelligence
License: MIT

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	<h1>Quantumics</h1>
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	<p>Quantumics is a python library that remove the risk post by the Neven's Law, recent and future developments in Computer Science and Technology by abstracting away the effect of the diversity of QPUs, CPUs manufacturers.
	</p>

<p>
	Quantumics code(written mainly in python) enables you to run your code on different processors and then pick the most efficient processors to use for different algorithms in your code. Thus, optimizing computational speed of the global process. One code format works for all types of processors and future processors that may develop in the field of classical computing and quantum computing.
</p>

<p>You can learn more about Quantumics on our website in the link below<br/>
<a href="https://www.quantumics.net">https://www.quantumics.net</a>
</p>
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<div>
<h2>Why you or your organization need this API</h2>
<ul>
	<li><h4>Processing Unit Agnostic(QPU/CPU)</h4></li>
	<li><h4>Manufacturer Agnostic(DWave/IBM/Microsoft)</h4></li>
	<li><h4>Lowers Organization Risks due to Processing Unit's Disruption</h4></li>
</ul>
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	<h2>Who needs this API</h2>
<ul>
	<li><h4>Quantum Scientists</h4></li>
	<li><h4>Machine Learning Engineers</h4></li>
	<li><h4>Nanotechnologists and Bionanotechnologists</h4></li>
	<li><h4>Developers Interested in taking developing on processing unit agnostic Quantum and Classical applications</h4></li>
	<li><h4>Organisations with need for fast big data processing unit</h4></li> 
</ul>
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	<h2>Examples</h2>
<code>

</code>
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	<h2>Applications of this API</h2>
<ul>
	<li><h4>Optimizations Problems</h4></li>
	<li><h4>Machine Learning Problems</h4></li>
	<li><h4>Quantum Computing Business Solutions</h4></li>
	<li><h4>Nanotechnology and Bionanotechnology Solutions</h4></li>
	<li><h4>Synthetic Biology and Pharmaceuticals</h4></li>
	<li><h4>Quantum Finance Solutions</h4></li> 
</ul>
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