Programmable entangled qubit states on a linear-optical platform
N.N. Skryabin, Yu.A. Biriukov, M.A. Dryazgov, S.A. Fldzhyan, S.A., Zhuravitskii, A.S. Argenchiev, I.V. Kondratyev, L.A. Tsoma, K.I. Okhlopkov,, I.M. Gruzinov, K.V. Taratorin, M.Yu. Saygin, I.V. Dyakonov, M.V. Rakhlin,, A.I. Galimov, G.V. Klimko, S.V. Sorokin, I.V. Sedova

TL;DR
This paper introduces an advanced linear-optical platform capable of generating high-fidelity entangled qubit states, crucial for scalable photonic quantum computing, through a combination of high-quality photon sources, a programmable chip, and efficient detection.
Contribution
The work demonstrates a fully characterized, programmable photonic chip for high-fidelity entangled state generation, incorporating calibration and error modeling for improved quantum state preparation.
Findings
Achieved 98.5% fidelity in Bell state preparation.
Developed a numerical model accounting for fabrication imperfections.
Demonstrated heralded arbitrary two-qubit state generation.
Abstract
We present an experimental platform for linear-optical quantum information processing. Our setup utilizes multiphoton generation using a high-quality single-photon source, which is demultiplexed across multiple spatial channels, a custom-designed, programmable, low-loss photonic chip, and paired with high-efficiency single-photon detectors. We demonstrate the platform's capability in producing heralded arbitrary two-qubit dual-rail encoded states, a crucial building block for large-scale photonic quantum computers. The programmable chip was fully characterized through a calibration process that allowed us to create a numerical model accounting for fabrication imperfections and measurement errors. As a result, using on-chip quantum state tomography (QST), we achieved high-fidelity quantum state preparation, with a fidelity of 98.5\% specifically for the Bell state.
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Taxonomy
TopicsNeural Networks and Reservoir Computing · Quantum Information and Cryptography · Quantum Computing Algorithms and Architecture
