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

Jonathan Durandau, Janis Wagner, Frédéric Mailhot, Charles-Antoine Brunet, F. Schmidt–Kaler, Ulrich Poschinger, Yves Bérubé-Lauzière

2023Quantum13 citationsDOIOpen Access PDF

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.

Topics & Concepts

QubitToffoli gateQuantum computerComputer scienceOverhead (engineering)Quantum circuitTrapped ion quantum computerQuantumQuantum gateAlgorithmTopology (electrical circuits)PhysicsQuantum error correctionQuantum mechanicsElectrical engineeringEngineeringOperating systemQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum and electron transport phenomena
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