Resource-efficient photonic quantum computation with high-dimensional cluster states

Fuente: arXiv
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Main Authors: Lib, Ohad, Bromberg, Yaron
Format: Preprint
Published: 2023
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author Lib, Ohad
Bromberg, Yaron
author_facet Lib, Ohad
Bromberg, Yaron
contents Quantum computers can revolutionize science and technology, but their realization remains challenging across all platforms. A promising route to scalability is photonic measurement-based quantum computation, where single-qubit measurements on large cluster states, together with feedforward, enable fault-tolerant quantum computation. However, generating large cluster states at high rates is notoriously difficult, as detection probabilities drop exponentially with the number of photons comprising the state. We tackle this challenge by encoding multiple qubits on each photon through high-dimensional spatial encoding, generating cluster states with over nine qubits at a rate of 100Hz. Additionally, we demonstrate that high-dimensional encoding substantially reduces the computation duration by enabling instantaneous feedforward between qubits encoded in the same photon. Our findings pave the way for resource-efficient measurement-based quantum computation using high-dimensional entanglement.
format Preprint
id arxiv_https___arxiv_org_abs_2309_10464
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Resource-efficient photonic quantum computation with high-dimensional cluster states
Lib, Ohad
Bromberg, Yaron
Quantum Physics
Optics
Quantum computers can revolutionize science and technology, but their realization remains challenging across all platforms. A promising route to scalability is photonic measurement-based quantum computation, where single-qubit measurements on large cluster states, together with feedforward, enable fault-tolerant quantum computation. However, generating large cluster states at high rates is notoriously difficult, as detection probabilities drop exponentially with the number of photons comprising the state. We tackle this challenge by encoding multiple qubits on each photon through high-dimensional spatial encoding, generating cluster states with over nine qubits at a rate of 100Hz. Additionally, we demonstrate that high-dimensional encoding substantially reduces the computation duration by enabling instantaneous feedforward between qubits encoded in the same photon. Our findings pave the way for resource-efficient measurement-based quantum computation using high-dimensional entanglement.
title Resource-efficient photonic quantum computation with high-dimensional cluster states
topic Quantum Physics
Optics
url https://arxiv.org/abs/2309.10464