Quantumics
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.
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.
You can learn more about Quantumics on our website in the link below
https://www.quantumics.net
Why you or your organization need this API
Processing Unit Agnostic(QPU/CPU)
Manufacturer Agnostic(DWave/IBM/Microsoft)
Lowers Organization Risks due to Processing Unit's Disruption
Who needs this API
Quantum Scientists
Machine Learning Engineers
Nanotechnologists and Bionanotechnologists
Developers Interested in taking developing on processing unit agnostic Quantum and Classical applications
Organisations with need for fast big data processing unit
Examples
Applications of this API
Optimizations Problems
Machine Learning Problems
Quantum Computing Business Solutions
Nanotechnology and Bionanotechnology Solutions
Synthetic Biology and Pharmaceuticals
Quantum Finance Solutions
Metadata
Release files for quantumics 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| quantumics-0.0.3.tar.gz | 24.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| quantumics-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 47.5 kB
Release files / quantumics-0.0.3.tar.gz
| Download URL | quantumics-0.0.3.tar.gz |
|---|---|
| Size | 24.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.6
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Release files / quantumics-0.0.3-py3-none-any.whl
| Download URL | quantumics-0.0.3-py3-none-any.whl |
|---|---|
| Size | 22.8 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.6
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