Abhishek Awasthi
Papers
1
Total Citations
12
H-Index
1
About
Abhishek Awasthi is a researcher working at the cutting edge of quantum computing and combinatorial optimization, with a particular focus on applying emerging computational paradigms to real-world industrial problems. His most prominent work demonstrates a rigorous comparative analysis of quantum-hybrid, quantum-inspired, and classical optimization frameworks — specifically evaluating D-Wave's quantum-classical hybrid system, Fujitsu's Digital Annealer, and Gurobi's classical solver in tackling a transport robot scheduling problem drawn from industrial settings. This research, which has garnered 12 citations since its 2023 publication, is notable for its practical orientation, bridging the gap between theoretical quantum computing capabilities and tangible manufacturing or logistics applications. By benchmarking these diverse hardware and software platforms against a meaningful real-world use case, Awasthi's work provides the research community and industry practitioners with actionable insights into where quantum and quantum-inspired technologies currently stand relative to classical solvers. His contributions are especially valuable for students and engineers exploring whether next-generation computational hardware can deliver advantage in operational scheduling and resource allocation challenges, making him a notable voice in the evolving conversation around near-term quantum utility.
Research Focus
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Top Papers
- 1