# Experimental Comparison of Two Quantum Computing Architectures

## TL;DR

This paper compares two different 5-qubit quantum computing architectures by running identical algorithms, highlighting how connectivity impacts performance and emphasizing the importance of hardware-aware quantum algorithm design for future scalability.

## Contribution

First direct comparison of quantum algorithms on different hardware platforms, demonstrating the impact of qubit connectivity and hardware-specific features.

## Key findings

- Better connected systems improve quantum algorithm performance.
- Connectivity influences circuit efficiency and fidelity.
- Hardware-aware quantum algorithm design is crucial for scalability.

## Abstract

We run a selection of algorithms on two state-of-the-art 5-qubit quantum computers that are based on different technology platforms. One is a publicly accessible superconducting transmon device with limited connectivity, and the other is a fully connected trapped-ion system. Even though the two systems have different native quantum interactions, both can be programmed in a way that is blind to the underlying hardware, thus allowing the first comparison of identical quantum algorithms between different physical systems. We show that quantum algorithms and circuits that employ more connectivity clearly benefit from a better connected system of qubits. While the quantum systems here are not yet large enough to eclipse classical computers, this experiment exposes critical factors of scaling quantum computers, such as qubit connectivity and gate expressivity. In addition, the results suggest that co-designing particular quantum applications with the hardware itself will be paramount in successfully using quantum computers in the future.