# A strategy for quantum algorithm design assisted by machine learning

@article{Bang2014ASF, title={A strategy for quantum algorithm design assisted by machine learning}, author={Jeongho Bang and Junghee Ryu and Seokwon Yoo and M. Pawlowski and Jinhyoung Lee}, journal={New Journal of Physics}, year={2014}, volume={16}, pages={073017} }

We propose a method for quantum algorithm design assisted by machine learning. The method uses a quantum–classical hybrid simulator, where a 'quantum student' is being taught by a 'classical teacher'. In other words, in our method, the learning system is supposed to evolve into a quantum algorithm for a given problem, assisted by a classical main-feedback system. Our method is applicable for designing quantum oracle-based algorithms. We chose, as a case study, an oracle decision problem, called… Expand

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#### References

SHOWING 1-10 OF 46 REFERENCES

The speed of quantum and classical learning for performing the kth root of NOT

- Computer Science, Physics
- 2009

Quantum algorithm design using dynamic learning

- Computer Science, Mathematics
- Quantum Inf. Comput.
- 2008

Machine learning for precise quantum measurement.

- Computer Science, Physics
- Physical review letters
- 2010