Internal:DQHED: Difference between revisions
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= Weekly Reports = | = Weekly Reports = | ||
=== Weeks of | === Weeks of 2Mar and 12Mar === | ||
Generated the following [https://www.overleaf.com/read/jxnvpyysnkpx notes] on current methods in quantum edge detection. | Generated the following [https://www.overleaf.com/read/jxnvpyysnkpx notes] on current methods in quantum edge detection. | ||
=== Week of | === Week of 19Mar === | ||
Reviewed, commented, and added typing to Emmanuel's QHED code in the quantum repository at wahab.hpc.odu.edu:/RC/group/RC_NIKOS/CodeRepository/quantum.git | Reviewed, commented, and added typing to Emmanuel's QHED code in the quantum repository at wahab.hpc.odu.edu:/RC/group/RC_NIKOS/CodeRepository/quantum.git | ||
=== Weeks of | === Weeks of 26Mar and 2Apr === | ||
Created a separate script for Multi-node Quantum Hadamard Edge Detection (QHED) with a workflow for parallel quantum circuit simulation and execution. The three main tasks eligible for concurrency are: | Created a separate script for Multi-node Quantum Hadamard Edge Detection (QHED) with a workflow for parallel quantum circuit simulation and execution. The three main tasks eligible for concurrency are: | ||
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In addition, the requirement for padding was removed, as it is not necessary. Only one pixel per run is wasted to provide overlap between subimages. | In addition, the requirement for padding was removed, as it is not necessary. Only one pixel per run is wasted to provide overlap between subimages. | ||
=== Week of 9Apr === | |||
Researched the PBSScheduler module from Dask in application to the MQHED problem. All that is required is to provide the module a description of the nodes. The Scheduler will create and submit a job script to SLURM, which will function to automatically request nodes. Once this is complete, Dask Futures can be used to provide arbitrary Python methods with arguments for the PBSScheduler to manage. | |||
= References = | = References = | ||
Revision as of 09:25, 11 April 2023
Distributed Quantum Hadamard Edge Detection (DQHED)
Literature Review
This report was generated by reviewing publicly available research as of March 2022.
Weekly Reports
Weeks of 2Mar and 12Mar
Generated the following notes on current methods in quantum edge detection.
Week of 19Mar
Reviewed, commented, and added typing to Emmanuel's QHED code in the quantum repository at wahab.hpc.odu.edu:/RC/group/RC_NIKOS/CodeRepository/quantum.git
Weeks of 26Mar and 2Apr
Created a separate script for Multi-node Quantum Hadamard Edge Detection (QHED) with a workflow for parallel quantum circuit simulation and execution. The three main tasks eligible for concurrency are:
1. Circuit description
2. Transpilation
3. Execution
In addition, the requirement for padding was removed, as it is not necessary. Only one pixel per run is wasted to provide overlap between subimages.
Week of 9Apr
Researched the PBSScheduler module from Dask in application to the MQHED problem. All that is required is to provide the module a description of the nodes. The Scheduler will create and submit a job script to SLURM, which will function to automatically request nodes. Once this is complete, Dask Futures can be used to provide arbitrary Python methods with arguments for the PBSScheduler to manage.
References
Emmanuel's Contibutions
Proposal Additions for QHED December 2022[1]