Citi and Classiq advance quantum solutions for portfolio optimization using Amazon Braket
Quantum Computing Blog
[This post discusses how Citi Innovation Labs explored quantum computing for portfolio optimization in partnership with Classiq and AWS, examining the impact of adjusting the QAOA algorithm's penalty factor on performance]. Specifically, the article covers:
- Background on portfolio optimization and quantum algorithms like QAOA
- Modeling the portfolio optimization problem and QAOA with Classiq on Amazon Braket
- Analyzing the probability of finding valid solutions and the best 1% of solutions based on the penalty factor
- Conclusion on the potential of quantum computing for complex financial problems like portfolio optimization
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