Sep 2024•15 min read
Quantum Computing Applications
Understanding the practical applications of quantum algorithms in solving business optimization problems.
Overview
This research examines practical applications of quantum computing in business contexts, particularly focusing on optimization problems in finance and operations. The work bridges theoretical quantum algorithms with real-world business challenges.
Key Insights
- • Explored quantum optimization algorithms for portfolio management
- • Collaborated with major financial institutions on proof-of-concept projects
- • Identified near-term applications suitable for NISQ devices
- • Developed frameworks for quantum algorithm benchmarking
Applications
The focus areas include quantum annealing for optimization, variational quantum algorithms for machine learning, and quantum-inspired classical algorithms that provide speedups on current hardware. Each application is evaluated for practical viability and business value.
Technologies Used
QiskitPythonQAOAVQEQuantum Annealing