Automated Generation of Shuttling Sequences for a Linear Segmented Ion Trap Quantum Computer

Automated Generation of Shuttling Sequences for a Linear Segmented Ion Trap Quantum Computer

Automated Generation of Shuttling Sequences for a Linear Segmented Ion Trap Quantum Computer PlatoBlockchain Data Intelligence. Vertical Search. Ai.

Jonathan Durandau2, Janis Wagner1, Frédéric Mailhot2, Charles-Antoine Brunet2, Ferdinand Schmidt-Kaler1, Ulrich Poschinger1, and Yves Bérubé-Lauzière2

1QUANTUM, Institute of Physics, Johannes Gutenberg University, Staudingerweg 7, 55128 Mainz, Germany
2Institut Quantique and Département de génie électrique et de génie informatique, Université de Sherbrooke, Sherbrooke, Québec, J1K 2R1, Canada

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Abstract

A promising approach for scaling-up trapped-ion quantum computer platforms is by storing multiple trapped-ion qubit sets (‘ion crystals’) in segmented microchip traps and to interconnect these via physical movement of the ions (‘shuttling’). Already for realizing quantum circuits with moderate complexity, the design of suitable qubit assignments and shuttling schedules require automation. Here, we describe and test algorithms which address exactly these tasks. We describe an algorithm for fully automated generation of shuttling schedules, complying to constraints imposed by a given trap structure. Furthermore, we introduce different methods for initial qubit assignment and compare these for random circuit (of up to 20 qubits) and quantum Fourier transform-like circuits, and generalized Toffoli gates of up to 40 qubits each. We find that for quantum circuits which contain a fixed structure, advanced assignment algorithms can serve to reduce the shuttling overhead.

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Cited by

[1] Fabian Kreppel, Christian Melzer, Diego Olvera Millán, Janis Wagner, Janine Hilder, Ulrich Poschinger, Ferdinand Schmidt-Kaler, and André Brinkmann, “Quantum Circuit Compiler for a Shuttling-Based Trapped-Ion Quantum Computer”, arXiv:2207.01964, (2022).

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