Technology and Performance Benchmarks of IQM's 20-Qubit Quantum Computer
Leonid Abdurakhimov, János Ádám, Hasnain Ahmad, Olli Ahonen, Manuel G. Algaba, Guillermo Alonso, Ville Bergholm, Rohit Beriwal, Matthias Beuerle, Clinton Bockstiegel, Alessio Calzona, Chun Fai Chan, Daniele Cucurachi, Saga Dahl, Rakhim Davletkaliyev, Olexiy Fedorets, A. G. Frieiro, Zheming Gao, J. Guldmyr, A. Guthrie, J. Hassel, H. Heimonen, J. Heinsoo, T. Hiltunen, K. Holland, J. Hotari, Hao Hsu, A. Huhtala, Eric Hyyppa, Aleksi Hamalainen, J. Ikonen, S. Inel, David Janzso, T. Jaakkola, M. Jenei, S. Jolin, K. Júlíusson, J. Jussila, S. Khalid, Seung-Goo Kim, Miikka Koistinen, R. Kokkoniemi, A. Komlev, Caspar Ockeloen-Korppi, Otto Koskinen, Janne Kotilahti, Toivo Kuisma, V. Kukushkin, Kari Kumpulainen, Ilari Kuronen, Joonas Kylmala, Niclas Lamponen, Julia Lamprich, Alessandro Landra, Martin Leib, Tianyi Li, Per J. Liebermann, Aleksi Lintunen, Wei Liu, Jurgen Luus, F. Marxer, A. M. D. Griend, Kunal Mitra, J. K. Moqadam, Jakub Mro.zek, Henrikki Makynen, Janne Mantyla, T. Naaranoja, F. Nappi, J. Niemi, L. Ortega, M. Palma, M. Papivc, M. Partanen, Jari Penttila, A. Plyushch, Wei-Xin Qiu, A. Rath, Kari Repo, T. Riipinen, Jussi Ritvas, P. Romero, Jarkko Ruoho, J. Rabina, S. Saarinen, Indrajeet Sagar, Hayk Sargsyan, M. Sarsby, Niko Savola, M. Savytskyi, Ville Selinmaa, P. Smirnov, M. Su'arez, Linus Sundstrom, Sandra Slupi'nska, Eelis Takala, I. Takmakov, B. Tarasinski, Manish J. Thapa, J. Tiainen, F. Tosto, J. Tuorila, C. Valenzuela, David Vasey, Edwin Vehmaanpera, A. Vepsalainen, Aapo Vienamo, P. Vesanen, Alpo Valimaa, J. Wesdorp, N. Wurz, Elisabeth Wybo, Lily Yang, Ali Yurtalan·August 22, 2024
Physics
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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.