Quantum Portfolio Optimization with QAOA/ Quantum Annealing
Understand quantum optimization fundamentals.
Implement QAOA and quantum annealing algorithms.
Compare classical vs. quantum portfolio strategies.
Work with financial datasets for asset allocation.
Optimize risk-return trade-offs using quantum techniques.
Evaluate performance metrics and real-world applicability.
This Course Includes:
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Free One Year Access To Live Courses*
Certificate of completion
Course Curriculum & Resources
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Fundamentals of QAOA and quantum annealing
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Basics of portfolio optimization and financial modeling
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Setting up a quantum environment (Qiskit/D-Wave)
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Implementing QAOA and quantum annealing for asset selection
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Comparing quantum vs. classical portfolio strategies
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Measuring efficiency, scalability, and financial viability
Student Ratings & Reviews
Instructor Info
- Instructor Code: ABM07
- Specialty: Cloud, Data Science & GenAI Expert
- Experience: Worked with Microsoft, JO Morgan Chase, Deloitte Consulting in the USA
- Education: Holds an MS in Data Analytics Engineering from George Mason University, USA, and an MTech in Biomedical Engineering from IIT Bombay.
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