High-dimensional Antimony Atoms in Silicon for Photonic Entangled State 'Machine Gun' Quantum Error Correction
ORAL
Abstract
Silicon-based quantum hardware is compatible with the standard semiconductor manufacturing industry and has high gate fidelities for 1- and 2-qubit operations, above 99%. However, scaling up to many physical qubits remains a challenge, especially in academic research facilities. In 2009, Lindner and Rudolph introduced an alternative quantum computing paradigm called the Photonic Cluster State Machine Gun. This approach links the spin of a single electron with photons emitted from a quantum dot. By coupling n emitted photons with the electron’s spin, an n + 1-qubit linear cluster state in one dimension is created, allowing for the generation of large-scale linear cluster states comprising many qubits. Our work advances this approach by using the antimony (123Sb) donor in a silicon-based semiconductor spin qudit platform which encompasses a 16-dimensional Hilbert space comprising the spin 1/2 electron and the spin 7/2 nucleus. In the context of the machine gun, we view antimony as the quantum dot itself. Due to its multi-level energy structure, a single antimony atom can emit up to 7 different frequency photons through electric dipole transitions, enabling the creation of multi-qubit entangled photonic states. We analyze these states with respect to foliated quantum codes. The machine gun technique allows for a greater number of effective qubits in donor spin qubits in silicon, enabling Quantum Error Correction and facilitating the transition from reliable small-scale hardware to larger quantum computers
* The research was funded by the Australian Research Council (grant no. CE170100012)The research was undertaken with the assistance of resources and services from the National Computational Infrastructure (NCI), which is supported by the Australian Government.
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Publication: Planned for submission to the arXiv in May 2024
Presenters
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Gözde Üstün
UNSW
Authors
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Gözde Üstün
UNSW
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Samule Elman
University of Technology Sydney
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Andrew C Doherty
University of Sydney, Univ of Sydney
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Andrea Morello
University of New South Wales
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Simon Devitt
UTS, University of Technology Sydney