Python package to perform Riemannian quantum circuit optimization for Hamiltonian simulation, accompanying arXiv:2212.07556.
Installation
To install rqcopt from PyPI, call
python3 -m pip install rqcopt
Alternatively, you can clone this repository and install it in development mode via
python3 -m pip install -e <path/to/repo>
Release files for rqcopt 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rqcopt-1.0.0.tar.gz | 15.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rqcopt-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:29.8 kB
Release files / rqcopt-1.0.0.tar.gz
| Download URL | rqcopt-1.0.0.tar.gz |
|---|---|
| Size | 15.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.7
|
Release files / rqcopt-1.0.0-py3-none-any.whl
| Download URL | rqcopt-1.0.0-py3-none-any.whl |
|---|---|
| Size | 14.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.7
|