Welcome to CUNQA’s documentation!

CUNQA is a Python/C++ platform to simulate distributed quantum computing on the CESGA HPC environment.

CUNQA creates and manages virtual QPUs, which are classical resources allocated for emulation tasks, where distributed quantum programs can be executed. The Python API is structured in a way which will be familiar to Qiskit users, while the backend is written in C++ for performance. All code available on our GitHub repository.

First time users can find an installation guide in Module Set Up. Additionally, a tutorial to learn how to use CUNQA can be found in First Distributed Execution.

For documentation of individual objects and functions check CUNQA Submodules. Illustrative examples of use can be found in Examples gallery.

Contents:

• Module Set Up
  • Cloning the repository
  • Installation
• First Distributed Execution
  • 1. qraisecommand
  • 2. Python Program Example
  • 3. qdrop command
• CUNQA Submodules
  • cunqa.qpu
  • cunqa.qjob
  • cunqa.mappers
  • cunqa.transpile
  • cunqa.circuit
  • cunqa.backend
• Examples gallery
  • Example for execution of multiple circuits in QPUs
  • Examples for optimizations
  • Paralelization for gradient-free optimizers: Differential Evolution
  • Paralelization of expectation value terms
  • Paralelization for gradient optimizers