Skip to main content

Documentation Index

Fetch the complete documentation index at: https://prod-mint.classiq.io/llms.txt

Use this file to discover all available pages before exploring further.

View on GitHub

Open this notebook in GitHub to run it yourself
The quantum Fourier transform (QFT) function is the quantum analog for discrete Fourier transform. It is applied on the quantum register state vector. The state vector x is transformed to y in the following manner: yk=1N∑j=0N−1xje2πijkNy_{k} = \frac{1}{\sqrt{N}} \sum_{j=0}^{N-1} x_j e^{2\pi i \frac{jk}{N}} Function: qft Arguments:
  • target: QArray[QBit]
The target quantum argument is the quantum state on which we apply the QFT.

​
Example

from classiq import *


@qfunc
def main(x: Output[QArray[QBit]]):
    allocate(4, x)
    qft(x)


qmod = create_model(main)


qprog = synthesize(qmod)