Sep 202415 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