Performance Study of Superconducting Quantum Computing Chips under Different Architecture Design

Quantum Computing (QC) has attracted rapidly growing interest of the researchers in the last few decades because of its vast potential applications and superb computing power. Currently various physical QC systems are under study, and existing and near-term quantum computers have reached dozens to hundreds of qubits. It has been widely agreed that the computing capacity of a quantum chip is determined by many factors, such as qubit quantity, qubit quality, gating fidelity, and processor architecture. However, it is still lack of systematically study of these factors, especially at different connectivity and geometry. We designed a representative design architecture set of QC chips with different qubit connectivity and geometry. And run a benchmark quantum circuit set and collected the performance indicators on different QC chips. We analyzed the performance of circuit with different connectivity quantitatively, and found that the quantum processor qubit connectivity and geometry, can have a huge impact on the performance of the quantum algorithms. This work provides QC researchers a systematic approach to evaluate their processor design, and moreover, to optimize their processor design.