Compilation Techniques for Spin Qubits in a Shuttling Bus Architecture
arXiv:2502.06263 · doi:10.1109/ISCAS56072.2025.11044097
Abstract
In this work, we explore and propose several quantum circuit mapping strategies to optimize qubit shuttling in scalable quantum computing architectures based on silicon spin qubits. Our goal is to minimize phase errors introduced during shuttling operations while reducing the overall execution time of quantum circuits. We propose and evaluate five mapping algorithms using benchmarks from quantum algorithms. The Swap Return strategy emerged as the most robust solution, offering a superior balance between execution time and error minimization by considering future qubit interactions. Additionally, we assess the importance of initial qubit placement, demonstrating that an informed placement strategy can significantly enhance the performance of dynamic mapping approaches.
Accepted to ISCAS 25
References in corpus (18)
- Review article: Linear optical quantum computing
- Coherent control of macroscopic quantum states in a single-Cooper-pair box
- Silicon Quantum Electronics
- A >99.9%-fidelity quantum-dot spin qubit with coherence limited by charge noise
- Computing with spin qubits at the surface code error threshold
- Shuttling a single charge across a one-dimensional array of silicon quantum dots
- Spin transport and quasi 2D architectures for donor-based quantum computing
- MQT Bench: Benchmarking Software and Design Automation Tools for Quantum Computing
- Universal logic with encoded spin qubits in silicon
- Drug design on quantum computers
- Conveyor-mode single-electron shuttling in Si/SiGe for a scalable quantum computing architecture
- Distant spin entanglement via fast and coherent electron shuttling
- Blueprint of a scalable spin qubit shuttle device for coherent mid-range qubit transfer in disordered Si/SiGe/SiO
- Few electron double quantum dot in an isotopically purified Si quantum well
- Interaction graph-based characterization of quantum benchmarks for improving quantum circuit mapping techniques
- Revisiting the Mapping of Quantum Circuits: Entering the Multi-Core Era
- Quantum error correction in crossbar architectures
- SpinQ: Compilation strategies for scalable spin-qubit architectures