version 1.8 (07/2021)
General purpose runtime library for implementing runtime quantum algorithms and hybrids quantum-classical algorithms.
Estimation of thermal averages using quantum information algorithms.
Up to now we considered two types of algorithms: QMS and QSA, discussed next.
Implementation of the QMS algorithm from paper: https://www.nature.com/articles/nature09770
The QMS applied to a frustrated triangle: https://arxiv.org/abs/2001.05328
Implementation of the QQSA algorithm from paper: https://www.pnas.org/content/109/3/754 [Implemented by Riccardo Aiudi]
.
├── README.md (this file)
├── Makefile (for linux compilation)
├── include
│ ├── complex\_defines.cuh
│ ├── io.hpp
│ ├── parser.hpp
│ ├── pcg32.h
│ ├── suqa.cuh (prototypes of the suqa library)
│ ├── qms.cuh (core of the qms algorithm)
│ ├── qsa.cuh (core of the qsa algorithm)
│ ├── Rand.hpp
│ ├── suqa\_cpu.hpp (suqa cpu core functions)
│ ├── suqa\_kernels.cuh (suqa gpu core functions)
│ └── system.cuh (prototypes for any system)
├── src
│ ├── io.cpp (input/output facilities)
│ ├── qms.cu (runs the qms algorithm)
│ ├── qsa.cu (runs the qsa algorithm)
│ ├── qxq.cu (runs the qxq game)
│ ├── Rand.cpp (pseudorandom number generators)
│ ├── suqa.cu (core engine)
│ ├── system.cu (system-specific structures and functions)
│ ├── evo.cu (tests the system's evolution operator)
│ └── test\_suqa.cu (tests the suqa functions and structures)
└── vs (visual studio solution and project folders)
├── qms
├── suqa.sln
└── test\_evolution
Each git branch represents a different system:
- master : frustrated triangle
- z2_matter_gauge : model with hamiltonian evolution of a gauge theory as decribed in https://arxiv.org/abs/1903.08807 [implemented by Marco Cardinali]
- d4-gauge : another model from the previous paper [implemented only the evolution]
- z2-gauge : toy model for d4-gauge with gauge group Z2 [implemented by Lorenzo Maio]
Linux and Windows are supported to this date.
This code runs both on cpu only or on machines with NVIDIA gpus (CUDA).
- g++ with std>=c++11
- CUDA toolkit (if compiled for gpu devices)
- Make
To know the different compilation options run
make help- Visual Studio 2019
- CUDA toolkit (if compiled for gpu devices)
The Visual Studio solution is in 'vs/suqa.sln'.
It contains two projects, 'qms' and 'test_evolution';
to build one of them, right-click on the project name on 'Solution Explorer', and select 'Set as Startup Project',
then select the mode of compilation 'Release' or 'Debug' on the upper bar, and right-click again on the project name selecting 'Build'.
The executable will be created in the folder 'vs/x64/Release' or 'vs/x64/Debug' depending on the compilation mode.
To run it, e.g., you can click on 'Tools/Command Line/Developer PowerShell' on the upper bar to open a shell.
Giuseppe Clemente (giuseppe.clemente93@gmail.com)
Marco Cardinali
Lorenzo Maio
Claudio Bonanno
Riccardo Aiudi