Technology and Performance Benchmarks of IQM's 20-Qubit Quantum Computer
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 pro...
Gespeichert in:
Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | 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. |
---|---|
DOI: | 10.48550/arxiv.2408.12433 |