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demonstrations/tutorial_qft.metadata.json

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}
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],
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"dateOfPublication": "2024-04-16T00:00:00+00:00",
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"dateOfLastModification": "2024-11-18T00:00:00+00:00",
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"dateOfLastModification": "2025-04-10T00:00:00+00:00",
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"categories": [
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"Algorithms",
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"Quantum Computing"

demonstrations/tutorial_qft.py

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# This value corresponds to an approximation of :math:`2^nf` where :math:`f` is the frequency and :math:`n` is the
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# number of qubits.
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# Once we know the frequency, we invert it to obtain the period :math:`T` of our state.
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# In this case, the period is :math:`T = 2^5 / 3 \sim 10.33,` close to the real value of :math:`10.`
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# In this case, the period is :math:`T = 2^5 / 3 \sim 10.66,` close to the real value of :math:`10.`
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#
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# Conclusion
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# ----------

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