English

Technology and Performance Benchmarks of IQM's 20-Qubit Quantum Computer

Quantum Physics 2024-08-23 v1

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.

Keywords

Cite

@article{arxiv.2408.12433,
  title  = {Technology and Performance Benchmarks of IQM's 20-Qubit Quantum Computer},
  author = {Leonid Abdurakhimov and Janos Adam and Hasnain Ahmad and Olli Ahonen and Manuel Algaba and Guillermo Alonso and Ville Bergholm and Rohit Beriwal and Matthias Beuerle and Clinton Bockstiegel and Alessio Calzona and Chun Fai Chan and Daniele Cucurachi and Saga Dahl and Rakhim Davletkaliyev and Olexiy Fedorets and Alejandro Gomez Frieiro and Zheming Gao and Johan Guldmyr and Andrew Guthrie and Juha Hassel and Hermanni Heimonen and Johannes Heinsoo and Tuukka Hiltunen and Keiran Holland and Juho Hotari and Hao Hsu and Antti Huhtala and Eric Hyyppä and Aleksi Hämäläinen and Joni Ikonen and Sinan Inel and David Janzso and Teemu Jaakkola and Mate Jenei and Shan Jolin and Kristinn Juliusson and Jaakko Jussila and Shabeeb Khalid and Seung-Goo Kim and Miikka Koistinen and Roope Kokkoniemi and Anton Komlev and Caspar Ockeloen-Korppi and Otto Koskinen and Janne Kotilahti and Toivo Kuisma and Vladimir Kukushkin and Kari Kumpulainen and Ilari Kuronen and Joonas Kylmälä and Niclas Lamponen and Julia Lamprich and Alessandro Landra and Martin Leib and Tianyi Li and Per Liebermann and Aleksi Lintunen and Wei Liu and Jürgen Luus and Fabian Marxer and Arianne Meijer-van de Griend and Kunal Mitra and Jalil Khatibi Moqadam and Jakub Mrożek and Henrikki Mäkynen and Janne Mäntylä and Tiina Naaranoja and Francesco Nappi and Janne Niemi and Lucas Ortega and Mario Palma and Miha Papič and Matti Partanen and Jari Penttilä and Alexander Plyushch and Wei Qiu and Aniket Rath and Kari Repo and Tomi Riipinen and Jussi Ritvas and Pedro Figueroa Romero and Jarkko Ruoho and Jukka Räbinä and Sampo Saarinen and Indrajeet Sagar and Hayk Sargsyan and Matthew Sarsby and Niko Savola and Mykhailo Savytskyi and Ville Selinmaa and Pavel Smirnov and Marco Marín Suárez and Linus Sundström and Sandra Słupińska and Eelis Takala and Ivan Takmakov and Brian Tarasinski and Manish Thapa and Jukka Tiainen and Francesca Tosto and Jani Tuorila and Carlos Valenzuela and David Vasey and Edwin Vehmaanperä and Antti Vepsäläinen and Aapo Vienamo and Panu Vesanen and Alpo Välimaa and Jaap Wesdorp and Nicola Wurz and Elisabeth Wybo and Lily Yang and Ali Yurtalan},
  journal= {arXiv preprint arXiv:2408.12433},
  year   = {2024}
}
R2 v1 2026-06-28T18:20:52.961Z