Successful implementation of quantum algorithms in the financial sector with significant compression of quantum circuits!
- QX-PJ事務局
- Mar 31
- 1 min read
The Quantum Transformation project, in collaboration with Mizuho Dai-ichi Financial Technology (Mizuho Dai-ichi FT) and Classiq, has achieved quantum circuit depth reduction in a demonstration of quantum algorithms related to Monte Carlo simulations.
In the financial industry, Monte Carlo simulations are widely used for pricing derivatives and assessing asset risk, but they are extremely time consuming. Quantum computing has the potential to process large-scale stochastic simulations more efficiently than conventional computational methods, and is expected to speed up simulations and improve the accuracy of risk assessment.
This project focused on two quantum algorithms related to Monte-Carlo simulation, one using pseudo-random numbers developed by Mizuho Dai-ichi FT, and the other a conventional quantum algorithm. by utilizing Classiq's high-level language Qmod and quantum circuit compression technology, we were able to develop a conventional platform, we were able to generate efficient quantum circuits with significantly reduced hardware resources.
As a result of our experiments, we were able to reduce the depth of conventional quantum circuits by up to 94%, and by up to 95% (see figure below) for the pseudo-random type.
This brings us one step closer to the practical application of quantum computing!
Classiq Powers Quantum Breakthrough with Sumitomo Corporation and Mizuho-DL Financial Technology
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