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Problem 4 Inverse Quantum Fourier Transform In the lecture we give a quantum circuit to perform the Quantum Fourier Transform

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Universit¨at Regensburg, Institut f¨ur Theoretische Physik Summer 2020 Prof. Dr. Christoph Lehner, Andreas Hackl

Exercise: Quantum Computing

Problem set 3 (to be discussed in week of May 18, 2020)

Since May 21 is a holiday, the following problem set will only be discussed on Friday, May 22st and is optional. Attendance will not be taken.

Problem 1 Matrix Representation of Quantum Fourier Transform In the lecture we discuss the Quantum Fourier Transform defined through its action

|xi → 1

√ 2N

2N−1

X

k=0

e2πixk/2N|ki

on the basis states |xi ∈ {|0i, . . . ,

2N −1

}with number of qubits N. Give a matrix represen- tation for N = 3.

Problem 2 Quantum Fourier Transform and Elementary Gates

We have established previously how to relate a general gate operation to only the single-qubit H, Rφ, and the two-qubit CNOT gates. How many H,Rφ, and CNOT gates, respectively, are required to implement the Quantum Fourier Transform circuit given in the lecture?

Problem 3 Quantum Fourier Transform is Unitary Show that the Quantum Fourier Transform is unitary.

Problem 4 Inverse Quantum Fourier Transform

In the lecture we give a quantum circuit to perform the Quantum Fourier Transform. Give a circuit to perform its inverse operation.

Problem 5 Simulation of Quantum Fourier Transform

Implement the Quantum Fourier Transform for generalN in the simulator http://github.com/lehner/sqc.

Using this implementation, perform the Quantum Fourier Transform forN = 3 on all basis vec- tors.

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