Abstract
In the current NISQ-era, one of the major challenges faced by researchers and practitioners lies in figuring out how to combine quantum and classical computing in the most efficient and innovative way. In this paper, we present a mechanism coined as Quantum Initialization for Warehouse Optimization Problem that resorts to D-Wave's Quantum Annealer. The module has been specifically designed to be embedded into already-existing classical software dedicated to the optimization of a real-world industrial problem. We preliminary tested the implemented mechanism through a two-phase experimentation against the classical version of the software.
| Original language | English |
|---|---|
| Title of host publication | Workshops Program, Posters Program, Panels Program and Tutorials Program |
| Editors | Candace Culhane, Greg T. Byrd, Hausi Muller, Yuri Alexeev, Yuri Alexeev, Sarah Sheldon |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 468-469 |
| Number of pages | 2 |
| ISBN (Electronic) | 9798331541378 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 5th IEEE International Conference on Quantum Computing and Engineering, QCE 2024 - Montreal, Canada Duration: 15 Sept 2024 → 20 Sept 2024 |
Publication series
| Name | Proceedings - IEEE Quantum Week 2024, QCE 2024 |
|---|---|
| Volume | 2 |
Conference
| Conference | 5th IEEE International Conference on Quantum Computing and Engineering, QCE 2024 |
|---|---|
| Country/Territory | Canada |
| City | Montreal |
| Period | 15/09/24 → 20/09/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- D-Wave
- Hybrid quantum-classical computing
- Quantum Annealing
- Quantum Optimization
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