Litcius/Paper detail

Efficient parallelization of quantum basis state shift

Lj Budinski, Ossi Niemimäki, Roberto Zamora-Zamora, Valtteri Lahtinen

2023Quantum Science and Technology12 citationsDOIOpen Access PDF

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 &gt; 4, we derive the total number of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mn>15</mml:mn> <mml:mi>n</mml:mi> <mml:mo>+</mml:mo> <mml:mn>74</mml:mn> </mml:math> two-qubit CX gates in the parallel circuit, using a total of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mn>2</mml:mn> <mml:mi>n</mml:mi> <mml:mo>−</mml:mo> <mml:mn>2</mml:mn> </mml:math> 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.

Topics & Concepts

AlgorithmQuantum algorithmComputer scienceSpeedupQubitScalingQuantum computerQuantumMathematicsQuantum mechanicsPhysicsParallel computingGeometryQuantum Computing Algorithms and ArchitectureAdvancements in Semiconductor Devices and Circuit DesignNeural Networks and Reservoir Computing
Efficient parallelization of quantum basis state shift | Litcius