PyCIM
PyCIM is the first simulator that can produce the dynamic behavior of CIM. PyCIM effectively capture some characteristic phenomena of DOPO and CIM, including a spontaneous symmetry breaking, threshold behavior, gain saturation, and the process of CIM solving MAX-CUT problems. Additionally, it is built-in time-varying coupling strengths and pump schedules. Moreover, PyCIM can be used for analyzing the impact of parameters on the performance of CIM, and guiding the design and optimization of actual physical systems.
Requirements
To use the simulator, Python 3.7.7 or above is required.
The following packages are required by the installation:
- matplotlib==3.5.3
- numpy==1.21.5
- scipy==1.7.3
method 1:
pip install pycim-simulator
method 2:
The first step is cloning the repository:
git clone https://github.com/shadowforwind/pycim-simulator.git
Then, install the following packages:
cd pycim-simulator
pip install -r requirements.txt
Catalog
└─simulator
│ architecture.png
│ display.ipynb
│ README.md
│ requirements.txt
│
└─pycim
│ analyzer.py
│ competitor.py
│ sampler.py
│ __init__.py
│
├─data
│ │ 128.txt
│ │ 20.txt
│
├─simulation
│ │ device.py
│ │ setup.py
│ │ simulate.py
│ │ solver.py
│ │ __init__.py
│ │
│ ├─model
│ │ │ c_number.py
│ │ │ discrete.py
│ │ │ meanFiled.py
│ │ │ __init__.py
│
├─utils
│ │ const.py
│ │ bias.py
│ │ file_J.py
│ │ getIsingEnergy.py
│ │ __init__.py
Getting started with pycim
The simplest way of familiarize with the pycim-simulator is by exploring the demo case provided in the file ''display.ipynb''. The file ''display.ipynb'' provides step-by-step description of the main commands to: initialize input, transform model, single simulation, result measurement, or solving the Max-Cut problem.
How to contact us
Thanks for your interest in the project! If you have a question or want to discuss something, feel free to send an email to Peixiang Li, Dongyang Wang, or to Junjie Wu.
How to cite
When using pycim simulator for research projects, please cite:
Li, P., Cheng, H., Liu, Y., Wang, D., Wu, J. (2024). PyCIM: A Python Framework for the Dynamics of Coherent Ising Machine. In: Huang, DS., Zhang, C., Guo, J. (eds) Advanced Intelligent Computing Technology and Applications. ICIC 2024. Lecture Notes in Computer Science, vol 14871. Springer, Singapore. https://doi.org/10.1007/978-981-97-5609-4_15
Metadata
Release files for pycim-simulator 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pycim_simulator-0.1.4.tar.gz | 14.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pycim_simulator-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 32.0 kB
Release files / pycim_simulator-0.1.4.tar.gz
| Download URL | pycim_simulator-0.1.4.tar.gz |
|---|---|
| Size | 14.2 kB |
| Tags | Source |
|
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Release files / pycim_simulator-0.1.4-py3-none-any.whl
| Download URL | pycim_simulator-0.1.4-py3-none-any.whl |
|---|---|
| Size | 17.7 kB |
| Tags | Python 3 |
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