QWorld project 16 also on GitLab
Project: d-Wave optimizations for Supply Chain channels
Mentor: Vesselin Gueorguiev
Description: d-Wave is ideal for optimization of combinatorial problems that are often faced in Supply Chain channels of various industries
Interns: Daniel Salazar, Isaac Méndez Barquero, Mustafa Efe Güzel, Victor Chang, Yusharth Singh, Shivani Mayekar, (Sinem Serap and Roberto Narvaez Hernandez)
Project tasks and goals:
In order to understand the project and its goals and tasks, the interns need to become familiar with the D-wave Leap, D-wave SDK, Strange works as a collaborative QC-platform, Google Colaboratory, and IBM QISKit.
The main goals for the program duration were:
- Building background skills, experience, and knowledge.
- Finding interesting optimization data sets and challenges.
- Exploring data representations and relevant models.
The main relevant tasks were:
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Practising runs on D-wave Leap by studying and exploring various repositories:
Daniel & Roberto: Knapsak example problem formulation for D-Wave as used in QAlpha;
Mustafa and Sinem: Classical Anniler as used in week4 of CDL Quantum 2020;
Victor & Isaac: Knapsack and vehicle routing Quantum Chain Q-Chain;
Yash & Shivani: Vehicle routing exploration via QISKit and D-wave as done in cohort #3 of QOSF;
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Studing the desision optimization tutorials from the IBM AI Callenge 2021 and utilizing the supply chain example data there.
The end-product consist of the following Jupiter notebooks:
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Exploring the IBM tools and QISKit to run decision optimization (DO) examples, see QISKit_experiments.ipynb;
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Exploring the possibility to use the D-wave Leap to run the same decision optimization examples, see D-Wave_experiments.ipynb.