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Quantum Computing

Questions tagged [quantum-fourier-transform]

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Quantum Fourier Transform (QFT) is a linear transformation on quantum bits and is the quantum analogue of the discrete Fourier transform. The quantum Fourier transform is a part of many quantum algorithms, notably Shor's algorithm for factoring and computing the discrete logarithm, the quantum phase estimation algorithm for estimating the eigenvalues of a unitary operator, and algorithms for the hidden subgroup problem. (Wikipedia)

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4votes
0answers
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We know the quantum circuit representation of Fourier operator. Now, I want the quantum circuit for the following unitary matrix using single and two qubit gates:$$U =\begin{pmatrix}F_3 & 0 \\...
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Given a N qubits quantum register, in state $1/\sqrt{2}(|a\rangle+|b\rangle)$, my goal is to find sum of a and b (a+b) or subtraction (b-a).Taking classical example, let [7, 13], the discret FT will ...
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1answer
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In what follows, I am mostly interested in exact arbitrary-precision arithmetic. Quantum arithmetic is an active research topic. Of course any classical algorithm for arithmetic can be expressed as a ...
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The semi-classical quantum Fourier transform works by repeatedly preparing a control qubit in a state $R_Z(\phi)|+\rangle$ (where $\phi$ is adapted depending on previous measurements), performing $U^m$...
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According to John Watrous, it's not known how to test coprimality in logarithmic depth. This is a special case of there being no known way to compute an n-bit gcd in less than $\Omega(n / \log n)$ ...
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I am using Qiskit latest version and I am trying to compare the noise of a QFT circuit. I already managed to do so with circuits like the one for the Bernstein-Vazirani Algorithm, where i get to ...
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In QPE, we first accumulate the phase in control bits and then apply inverse QFT to them to get the actual phase.So it means that QPE must be converting the phase into its Fourier basis states in the ...
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As mentioned at length in this answer, in good part taking inspiration from these online pdf notes, there is a very direct relation between the quantum Fourier transform (QFT) circuit and the (...
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Is there a smart way to implement $e^{i\theta\,\Phi\,\rm{QFT} \, \Phi \, \rm{QFT}^\dagger}$, where both $\Phi \propto\sum_j2^jZ_j$ and $\rm{QFT}$ act on the same set of registers? Even an approximate ...
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I had a question about qft. When we apply QFT in a circuit, we can display the qubits separately in the bloch sphere with the plot_bloch_multivector function. I realized that the bloch vectors do not ...
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An interesting numerical observation is that an operator defined as $\phi=\sum_{j=0}^{n-1} 2^j Z_j$ upon a QFT is rotated into an operator $\pi=\operatorname{F} \phi \operatorname{F}^\dagger$ which ...
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I'm trying to reproduce in Qiskit the multiplicative form of the QFT for two qubits. It is similar to what is asked in Nielsen's QCQI book in Exercise 5.2 and Box 5.1. To check the results I'm ...
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The DFT is well-developed over $\mathbb{C}$ with fast quantum algorithms.There is a DFT defined classically over $F_q$ which mirrors the complex case when we have an $N^{th}$ root of unity in $F_q$, ...
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I am working on a project where I need to calculate 3x+1 for numbers 0 to infinity. I have an 8GB RAM laptop and I am using Cirq. For small numbers, I was able to perform the multiplication using the ...

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