Comparison of Cloud-Based Ion Trap and Superconducting Quantum Computer Architectures

Abstract

Quantum computing represents a radical departure from conventional approaches to information processing, offering the potential for solving problems that can never be approached classically. While large scale quantum computer hardware is still in development, several quantum computing systems have recently become available as commercial cloud services. We compare the performance of these systems on several simple quantum circuits and algorithms, and examine component performance in the context of each system's architecture.

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Cited by in corpus (9)

• Stabilizing multiple topological fermions on a quantum computer
• Client-Server Identification Protocols with Quantum PUF
• Enhancing the Coherence of Superconducting Quantum Bits with Electric Fields
• Entanglement between a trapped ion qubit and a 780-nm photon via quantum frequency conversion
• Resource analysis of quantum algorithms for coarse-grained protein folding models
• Aging and Reliability of Quantum Networks
• CNOT-count optimized quantum circuit of the Shor's algorithm
• Virtual Z gates and symmetric gate compilation
• Rule-based hardware-configurable static analysis for quantum programs