Muzzle the Shuttle: Efficient Compilation for Multi-Trap Trapped-Ion Quantum Computers
Abdullah Ash Saki, Rasit Onur Topaloglu, Swaroop Ghosh
20222022 Design, Automation & Test in Europe Conference & Exhibition (DATE)24 citationsDOIOpen Access PDF
Abstract
Trapped-ion systems can have a limited number of ions (qubits) in a single trap. Increasing the qubit count to run meaningful quantum algorithms would require multiple traps where ions need to shuttle between traps to communicate. The existing compiler has several limitations, which result in a high number of shuttle operations and degraded fidelity. In this paper, we target this gap and propose compiler optimizations to reduce the number of shuttles. Our technique achieves a maximum reduction of 51.17% in shuttles (average ~ 33%) tested over 125 circuits. Furthermore, the improved compilation enhances the program fidelity up to 22.68X with a modest increase in the compilation time.
Topics & Concepts
CompilerComputer scienceQubitQuantum computerTrap (plumbing)IonReduction (mathematics)Optimizing compilerParallel computingFidelityIon trapQuantumPhysicsTelecommunicationsProgramming languageMathematicsMeteorologyGeometryQuantum mechanicsQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum and electron transport phenomena