Solving combinatorial optimization problems efficiently is a major stake in the industry. Thanks to the power of quantum computing, it is nowadays possible to prepare, with implementation on small datasets, the quantum machine learning algorithms that will solve these problems for the next generations of quantum computers.

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References

1. Quantum computing for finance: overview and prospects-Roman  Or us, Samuel Mugel and Enrique Lizaso Overview and prospects (researchgate.net)

2. Quantum amplitude estimation algorithms on IBM quantum devices - Pooja Raoa , Kwangmin Yub,*, Hyunkyung Limc , Dasol Jinc , and Deokkyu Choid https://arxiv.org/pdf/2008.02102.pdf

3. Grover's Search Algorithm- Wikipedia https://en.wikipedia.org/wiki/Grover%27s_algorithm

4. Quantum Finance: Credit Risk Analysis with QAE Alice liu https://medium.com/@aliceliu2004/quantum-finance-credit-risk-analysis-with-qae-b339b585aaed

Posted by Dr. Vijayaraghavan Varadharajan on January 20, 2021 10:09 AM |

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