Technology and Performance Benchmarks of IQM's 20-Qubit Quantum Computer
Leonid Abdurakhimov, Janos Adam, Hasnain Ahmad, Olli Ahonen, Manuel, Algaba, Guillermo Alonso, Ville Bergholm, Rohit Beriwal, Matthias Beuerle,, Clinton Bockstiegel, Alessio Calzona, Chun Fai Chan, Daniele Cucurachi, Saga, Dahl, Rakhim Davletkaliyev, Olexiy Fedorets

TL;DR
This paper details the technological design and performance benchmarks of IQM's 20-qubit superconducting quantum computer, highlighting its architecture, fidelity, and entanglement capabilities, with plans to scale to 150 qubits.
Contribution
It introduces the full-stack design of IQM's quantum computer and provides benchmark results demonstrating high fidelity and entanglement in a 20-qubit system.
Findings
Median 2-qubit gate fidelity of 99.5%
Genuinely entangled all 20 qubits in a GHZ state
Scalability plan to 150 qubits
Abstract
Quantum computing has tremendous potential to overcome some of the fundamental limitations present in classical information processing. Yet, today's technological limitations in the quality and scaling prevent exploiting its full potential. Quantum computing based on superconducting quantum processing units (QPUs) is among the most promising approaches towards practical quantum advantage. In this article the basic technological approach of IQM Quantum Computers is described covering both the QPU and the rest of the full-stack quantum computer. In particular, the focus is on a 20-qubit quantum computer featuring the Garnet QPU and its architecture, which we will scale up to 150 qubits. We also present QPU and system-level benchmarks, including a median 2-qubit gate fidelity of 99.5% and genuinely entangling all 20 qubits in a Greenberger-Horne-Zeilinger (GHZ) state.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture
