Efficient parallelization of quantum basis state shift

Author:

Budinski Lj,Niemimäki OORCID,Zamora-Zamora RORCID,Lahtinen V

Abstract

Abstract Basis state shift is central to many quantum algorithms, most notably the quantum walk. Efficient implementations are of major importance for achieving a quantum speedup for computational applications. We optimize the state shift algorithm by incorporating the shift in different directions in parallel. This provides a significant reduction in the depth of the quantum circuit in comparison to the currently known methods, giving a linear scaling in the number of gates versus working qubits in contrast to the quadratic scaling of the state-of-the-art method based on the quantum Fourier transform. For a one-dimensional array of size 2 n for n > 4, we derive the total number of 15 n + 74 two-qubit CX gates in the parallel circuit, using a total of 2 n 2 qubits including an ancilla register for the decomposition of multi-controlled gates. We focus on the one-dimensional and periodic shift, but note that the method can be extended to more complex cases.

Funder

Business Finland

Publisher

IOP Publishing

Subject

Electrical and Electronic Engineering,Physics and Astronomy (miscellaneous),Materials Science (miscellaneous),Atomic and Molecular Physics, and Optics

Reference18 articles.

1. Quantum walks: a comprehensive review;Venegas-Andraca;Quantum Inf. Process.,2012

2. Efficient quantum circuit implementation of quantum walks;Douglas;Phys. Rev. A,2009

3. Efficient and scalable quantum walk algorithms via the quantum Fourier transform;Shakeel;Quantum Inf. Process.,2020

4. On the CNOT-cost of TOFFOLI gates;Shende;Quantum Inf. Comput.,2009

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