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This is a demo of the toolchain. The qalgo folder has the quantum algorithm to be benchmarked with folders:
- gen_files: This folder has the main machinery that generates the associated run files given the qasm files, job scripts and scope files that scope into environment of the container
- qasm_files: The quantum algorithm represented using the QASM instruction set
- qasm_parser: The parser that translates the QASM instruction into the instruction of the simulation package
- simulation package folder: The folder of the simulation package with the associated run files and job scripts
To generate the associated files, in this instance the qiskit files associated with the Heisenberg dynamics:
1. Create qiskit folder in qalgo folder
- mkdir -v qiskit
2. Change into the gen_files folder and run the file
- python3 create_dir_struct.py (allows to set the options inside the file)
3. In the qiskit folder the following folders are generated:
- bash_scripts_st_dp: bash scripts that scope the run files into the environment of the container
- data_st_dp: data folder to store the time statistics
- error_st_dp: error folder to store the errors of the job
- output_st_dp: output folder to store the output of the job
- job_scripts_st_dp: job scripts folder that has the jobs to be executed on the cluster (tailored for PSI cluster)
- run_files_st_dp: translated run files from qasm to qiskit instruction set
4. run_jobs_st_dp.sh: pushes all the jobs in the `bash_scripts_st_dp` onto the cluster
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Note:
1. The above instructions are tailored for a demo i.e., a minimal reproduction of the toolchain and its files (for
the entire version: please see the files in the folder `toolchain`)
2. 1. The singularity containers are not contained in this repo but are on the zenodo repo. These can be accessed using
the following commands or as in the job scripts:
- singularity shell qucos_sim.sif
3. The containerized image has conda environments for all the packages (also in `bash_script_sample.sh` in zenodo repo) that is
as follows:
```
#!/bin/bash -l
. /app/etc/profile.d/conda.sh
conda activate sim_package
python3 /home/<translated_run_file.py>
# Available conda environments on CPU singularity image: qucos_sim.sif
# Can be activated by issuing the commands as above, replace sim_package
# by the package of choice as below:
# sim_braket
# sim_cirq
# sim_hybridq
# sim_myqlm
# sim_myqlm_cpp
# sim_pennylane
# sim_pennylane_l
# sim_projectq
# sim_qibo
# sim_qibojit
# sim_qiskit
# sim_qpanda
# sim_qsimcirq
# sim_qulacs
# sim_svsim
# Available conda environments on GPU singularity image: qucos_gpu_sim.sif
# Can be activated by issuing the commands as above, replace sim_package
# by the package of choice as below:
# sim_hybridq_gpu
# sim_pennylane_l_gpu
# sim_qcgpu_gpu
# sim_qibojit_gpu
# sim_qiskit_gpu
# sim_qpanda_gpu
# sim_qsimcirq_gpu
# sim_qulacs_gpu
# sim_svsim_gpu
```
4. The use of containerized image implies that the packages installed in the container do not need additional dependencies
and can be used in a straight out-of-box fashion. However to check the dependencies one can issue the command
`pip list` once the corresponding conda environment is activated (conda environments listed above).
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