Transpiling Quantum Assembly Language Circuits to a Qudit Form

In this paper, we introduce the workflow for converting qubit circuits represented by Open Quantum Assembly format (OpenQASM, also known as QASM) into the qudit form for execution on qudit hardware and provide a method for translating qudit experiment results back into qubit results. We present the comparison of several qudit transpilation regimes, which differ in decomposition of multicontrolled gates: <b>qubit</b> as ordinary qubit transpilation and execution, <b>qutrit</b> with d=3 levels and single qubit in qudit, and <b>ququart</b> with d=4 levels and 2 qubits per ququart. We provide several examples of transpiling circuits for trapped ion qudit processors, which demonstrate potential advantages of qudits.

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Publication Details

Journal
Entropy
Published
2024-12-23
DOI
https://doi.org/10.3390/e26121129
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.35

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article

Transpiling Quantum Assembly Language Circuits to a Qudit Form

Evgeniy O. Kiktenko, Aleksey K. Fedorov, Anastasiia S. Nikolaeva, Denis A. Drozhzhin
1 citations
Entropy
Quantum Computing Algorithms and Architecture
0.35
article

Transpiling Quantum Assembly Language Circuits to a Qudit Form

Evgeniy O. Kiktenko, Aleksey K. Fedorov, Anastasiia S. Nikolaeva, Denis A. Drozhzhin
article en
1 citations

Abstract

In this paper, we introduce the workflow for converting qubit circuits represented by Open Quantum Assembly format (OpenQASM, also known as QASM) into the qudit form for execution on qudit hardware and provide a method for translating qudit experiment results back into qubit results. We present the comparison of several qudit transpilation regimes, which differ in decomposition of multicontrolled gates: <b>qubit</b> as ordinary qubit transpilation and execution, <b>qutrit</b> with d=3 levels and single qubit in qudit, and <b>ququart</b> with d=4 levels and 2 qubits per ququart. We provide several examples of transpiling circuits for trapped ion qudit processors, which demonstrate potential advantages of qudits.

EntropyVol. 26(12)
National University of Science and Technology (RU)
Russian Science Foundation
Openalex Percentile: Top 30%
Quantum Computing Algorithms and Architecture
0.35
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