The Fast Fourier Transform is described in the Quantum Domain

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SUMMARY

The recent article published in "Quantum Information Processing" details the implementation of a Fast Fourier Transform in the quantum domain, referred to as QFFT. This method is capable of addressing all problems typically handled by conventional FFTs while offering the advantage of processing multiple data sets concurrently. The QFFT utilizes U(N) transformations executed by quantum gates, as outlined in "Elementary gates for quantum computation." This advancement marks a significant leap in quantum computing methodologies.

PREREQUISITES
  • Understanding of Fast Fourier Transform (FFT) algorithms
  • Familiarity with quantum computing principles
  • Knowledge of U(N) transformations in quantum mechanics
  • Basic concepts of quantum gates and their functions
NEXT STEPS
  • Research the implementation details of QFFT in quantum computing
  • Explore the differences between QFFT and Quantum Fourier Transform (QFT)
  • Study U(N) transformations and their applications in quantum algorithms
  • Learn about the role of quantum gates in processing multiple data sets
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Quantum computing researchers, software developers in quantum algorithms, and anyone interested in advanced computational techniques in the quantum domain.

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TL;DR
The Fast Fourier Transform is described in the Quantum Domain.
In August, "Quantum Information Processing" published an article describing a full FFT in the quantum domain - a so-called QFFT, not to be confused with the simpler QFT.

According to the publication:
The method is applicable to all the problems processed by the conventional FFT. Moreover, the QFFT can simultaneously process multiple data sets which can be generated by U(N) transformations realized by quantum gates as in ["Elementary gates for quantum computation"].
 

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