This is the Windows app named CUDA-QX whose latest release can be downloaded as 0.7.0sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named CUDA-QX with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS
Ad
CUDA-QX
DESCRIPTION
CUDA-QX is a collection of accelerated libraries built on top of the CUDA-Q platform, designed to enable rapid development of hybrid quantum-classical applications. It extends the CUDA-Q programming model by providing optimized implementations of domain-specific quantum computing primitives and workflows. The libraries are intended to help researchers and developers leverage GPUs, CPUs, and quantum processing units together in a unified computational model. CUDA-QX focuses on key areas such as quantum error correction and hybrid solver algorithms, offering high-level APIs that simplify complex quantum workflows. By abstracting low-level details and providing ready-to-use components, it accelerates experimentation and development in quantum computing research. The project is part of NVIDIA’s broader effort to enable scalable quantum-classical computing systems through hardware-agnostic programming models.
Features
- Libraries for hybrid quantum-classical application development
- Built on top of the CUDA-Q programming model
- Optimized primitives for quantum error correction
- High-level APIs for quantum-classical solvers
- Support for CPU, GPU, and QPU execution
- Extensible framework for quantum research workflows
Programming Language
C++
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/cuda-qx.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.