| Name | quantuloop-simulator JSON |
| Version |
2024.2
JSON |
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| home_page | |
| Summary | Quantuloop Quantum Simulator Suite for HPC |
| upload_time | 2024-01-30 18:33:50 |
| maintainer | |
| docs_url | None |
| author | Quantuloop |
| requires_python | >=3.8,<4.0 |
| license | |
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No requirements were recorded.
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# Quantuloop Quantum Simulator Suite for HPC
The **Quantuloop Quantum Simulator Suite for HPC** is a collection of high-performance quantum computer simulators for the **Ket language**. Since quantum algorithms explore distinct aspects of quantum computation to extract advantages, there is no silver bullet for the simulation of a quantum computer. The Quantuloop Quantum Simulator Suite for HPC offers three quantum simulators today, with new ones coming in the future. The simulators available today are:
* **Quantuloop Sparse**, which brings the Bitwise Representation (implemented in the KBW Sparse) for HPC. This is the only simulator that implements this simulation algorithm and it provides many benefits:
* Ready for multi-GPU systems, allowing you to scale up simulations as needed.
* Efficient execution time with the amount of superposition, providing faster simulations.
* Exact simulation of more than 100 qubits [depending on the algorithm](https://repositorio.ufsc.br/handle/123456789/231060), making it ideal for larger simulations.
* **Quantuloop Dense** is a state vector simulator built with the NVIDIA cuQuantum SDK cuStateVec. It provides several advantages:
* Great scalability in multi-GPU systems, enabling large simulations to be run with ease.
* The perfect fit for most quantum algorithms, allowing you to simulate many different types of quantum circuits.
By using the Quantuloop Quantum Simulator Suite for HPC, you can enjoy the following benefits:
* Faster simulation times, as the simulators are optimized for GPU-based computing.
* Higher scalability, as multi-GPU systems, can be used to run large simulations.
* Access to unique simulation algorithms, such as the Parallel Bitwise implemented in the Quantuloop Sparse simulator.
* Ability to simulate a wide range of quantum algorithms and circuits, allowing you to explore the potential of quantum computing.
The use of this simulator is exclusively for Quantuloop's customers and partners. Contact your institution to get your access token or visit <https://quantuloop.com>.
## Installation
Installing using pip:
```shell
pip install --index-url https://gitlab.com/api/v4/projects/43029789/packages/pypi/simple quantuloop-simulator
```
Add in poetry:
```shell
poetry source add quantuloop https://gitlab.com/api/v4/projects/43029789/packages/pypi/simple --secondary
poetry add quantuloop-simulator
```
## Usage
```py
import quantuloop_simulator as ql
import ket
ql.set_token(
token="YOR.ACCESS.TOKEN", # Quantuloop Access Token is required to use the simulators
)
process = ket.Process(ql.get_simulator(
num_qubits=182,
simulator="sparse", # or "dense"
precision=2, # optional, default 1
gpu_count=4, # optional, default use all GPUs
))
```
## Compatibility
The following system requirements are necessary to run the Quantuloop Dense simulator:
* CUDA 12 or newer with compatible NVIDIA driver
* Linux x86_64 with glibc 2.18 or newer
* Ubuntu 20.04 or newer.
* Red Hat Enterprise Linux 8 or newer.
* Python 3.8 or newer
* Ket 0.7 or newer
Quantuloop Dense is compatible only with CUDA architecture 70, 75, 80, and 86.
----
By installing or using this package, you agree to the Quantuloop Quantum Simulator Suite EULA.
All rights reserved (C) 2023 Quantuloop
Raw data
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"description": "# Quantuloop Quantum Simulator Suite for HPC\n\nThe **Quantuloop Quantum Simulator Suite for HPC** is a collection of high-performance quantum computer simulators for the **Ket language**. Since quantum algorithms explore distinct aspects of quantum computation to extract advantages, there is no silver bullet for the simulation of a quantum computer. The Quantuloop Quantum Simulator Suite for HPC offers three quantum simulators today, with new ones coming in the future. The simulators available today are:\n\n* **Quantuloop Sparse**, which brings the Bitwise Representation (implemented in the KBW Sparse) for HPC. This is the only simulator that implements this simulation algorithm and it provides many benefits:\n * Ready for multi-GPU systems, allowing you to scale up simulations as needed.\n * Efficient execution time with the amount of superposition, providing faster simulations.\n * Exact simulation of more than 100 qubits [depending on the algorithm](https://repositorio.ufsc.br/handle/123456789/231060), making it ideal for larger simulations.\n* **Quantuloop Dense** is a state vector simulator built with the NVIDIA cuQuantum SDK cuStateVec. It provides several advantages:\n * Great scalability in multi-GPU systems, enabling large simulations to be run with ease.\n * The perfect fit for most quantum algorithms, allowing you to simulate many different types of quantum circuits.\n\nBy using the Quantuloop Quantum Simulator Suite for HPC, you can enjoy the following benefits:\n\n* Faster simulation times, as the simulators are optimized for GPU-based computing.\n* Higher scalability, as multi-GPU systems, can be used to run large simulations.\n* Access to unique simulation algorithms, such as the Parallel Bitwise implemented in the Quantuloop Sparse simulator.\n* Ability to simulate a wide range of quantum algorithms and circuits, allowing you to explore the potential of quantum computing.\n\nThe use of this simulator is exclusively for Quantuloop's customers and partners. Contact your institution to get your access token or visit <https://quantuloop.com>.\n\n## Installation \n\nInstalling using pip:\n\n```shell\npip install --index-url https://gitlab.com/api/v4/projects/43029789/packages/pypi/simple quantuloop-simulator\n```\n\nAdd in poetry:\n\n```shell\npoetry source add quantuloop https://gitlab.com/api/v4/projects/43029789/packages/pypi/simple --secondary\npoetry add quantuloop-simulator\n```\n\n## Usage\n\n```py\nimport quantuloop_simulator as ql\nimport ket\n\nql.set_token(\n token=\"YOR.ACCESS.TOKEN\", # Quantuloop Access Token is required to use the simulators \n)\n\nprocess = ket.Process(ql.get_simulator(\n num_qubits=182,\n simulator=\"sparse\", # or \"dense\"\n precision=2, # optional, default 1\n gpu_count=4, # optional, default use all GPUs\n))\n```\n\n## Compatibility\n\nThe following system requirements are necessary to run the Quantuloop Dense simulator:\n\n* CUDA 12 or newer with compatible NVIDIA driver\n* Linux x86_64 with glibc 2.18 or newer\n * Ubuntu 20.04 or newer.\n * Red Hat Enterprise Linux 8 or newer.\n* Python 3.8 or newer\n* Ket 0.7 or newer\n\nQuantuloop Dense is compatible only with CUDA architecture 70, 75, 80, and 86.\n\n----\n\nBy installing or using this package, you agree to the Quantuloop Quantum Simulator Suite EULA.\n\nAll rights reserved (C) 2023 Quantuloop\n\n",
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