Quantum computing is a type of computing that harnesses the power of quantum mechanics to solve problems that are too difficult for classical computers. Quantum computers use qubits, which are quantum bits, to store information. Qubits can be in a superposition of states, which means that they can be both 0 and 1 at the same time. This allows quantum computers to perform calculations that are exponentially faster than classical computers.

Clara are open sourec library for quantum computing processing that is designed to be faster on classical computer. the library provides a high-level interface for writing quantum algorithm and it uses a variety of techniques to optimize the performance of these algorithm on classical computer. the lib has the potential to make quantum algorithm more accessible to a wider range of researcher and developers and could help to accelerate the develompent of quantum computing applications

Package used on clara

Eigen

Eigen is a high-performance C++ template library for linear algebra. It provides a wide range of features, including matrices, vectors, numerical solvers, and related algorithms. Eigen is designed to be fast, efficient, and flexible. It is used by a wide range of developers, including those working in the fields of computer graphics, machine learning, and scientific computing.

website : eigen.tuxfamily.org

repository: gitlab

installation for clara

• debian package (apt) for installing lib eigen on ubuntu

  sudo apt-get update
  sudo apt-get install libeigen3-dev
  cp -r /usr/local/include/eigen3/Eigen /usr/local/include
  

• arch package for installing on arch based

  yay -S eigen
  

  information about package on arch : here
• MacOS for installing on MacOS based

  brew install eigen
  

• windows recommended for install Cygwin with CMake and g++

OpenMp

OpenMP is a widely adopted, portable, and scalable application programming interface (API) for shared-memory parallel programming in C, C++, and Fortran. It provides a high-level, portable abstraction for expressing parallel computation on shared-memory systems.

website openmp.org

installation for clara

• debian package (apt) OpenMp already installed on ubuntu, according from askubuntu.com. if dont have libomp you can install by

  sudo apt-get install libomp-dev
  

• arch package for installing libeigen on arch based

  yay -S openmp
  

• MacOS install libomp more be tricky, but you can add them (maybe) by this post from stackoverflow

Test clara

Clara using GoogleTest framework and mocking tools, for installation you can check on here, or you can just find on the testing script on clara_test/run_test

running test clara

g++ -pedantic -std=c++11 -Wall -Wextra -Weffc++ -fopenmp -g3 -DDEBUG -isystem $HOME/eigen -I $HOME/clara/include testing/channels.cpp -o channels

running test clara with docker

You can running on docker, docker is container platform that allows you to package an application and its dependencies into single image. this image can then be run on any machine that has docker installed. this make it easy to run application in a consistent way

prerequsites:

• Docker you can install docker by following docker official web and read the documentation to how to initialization

docker build -t clara-test -f ./docker/Dockerfile.clara_test . && docker run -it --name=clara-test clara-test

information:

• -pedantic ensure that the code conforms to the strictest standard of the C++ language
• -std=c++11 specifies that the code should be compiled using c++11
• -Wall enable all warnings
• -Wextra enables additional warnings that are not enabled by default
• -Weffc++ enables warnings about potential erroes in the code
• -fopenmp enables OpenMP support
• -g3 enable debugging symbol
• docker best pratices for testing application if you are using windows