Universal Logical Quantum Photonic Neural Network Processor via Cavity-Assisted Interactions

Bibliographic Details
Title: Universal Logical Quantum Photonic Neural Network Processor via Cavity-Assisted Interactions
Authors: Basani, Jasvith Raj, Niu, Murphy Yuezhen, Waks, Edo
Publication Year: 2024
Collection: Computer Science
Physics (Other)
Quantum Physics
Subject Terms: Quantum Physics, Computer Science - Emerging Technologies, Physics - Optics
More Details: Encoding quantum information within bosonic modes offers a promising direction for hardware-efficient and fault-tolerant quantum information processing. However, achieving high-fidelity universal control over the bosonic degree of freedom using native photonic hardware remains a challenge. Here, we propose an architecture to prepare and perform logical quantum operations on arbitrary multimode multi-photon states using a quantum photonic neural network. Central to our approach is the optical nonlinearity, which is realized through strong light-matter interaction with a three-level Lambda atomic system. The dynamics of this interaction are confined to the single-mode subspace, enabling the construction of high-fidelity quantum gates. This nonlinearity functions as a photon-number selective phase gate, which facilitates the construction of a universal gate set and serves as the element-wise activation function in our neural network architecture. Through numerical simulations, we demonstrate the versatility of our approach by executing tasks that are key to logical quantum information processing. The network is able to deterministically prepare a wide array of multimode multi-photon states, including essential resource states. We also show that the architecture is capable of encoding and performing logical operations on bosonic error-correcting codes. Additionally, by adapting components of our architecture, error-correcting circuits can be built to protect bosonic codes. The proposed architecture paves the way for near-term quantum photonic processors that enable error-corrected quantum computation, and can be achieved using present-day integrated photonic hardware.
Comment: 21 pages including supplement, 12 figures total
Document Type: Working Paper
Access URL: http://arxiv.org/abs/2410.02088
Accession Number: edsarx.2410.02088
Database: arXiv
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  Data: Universal Logical Quantum Photonic Neural Network Processor via Cavity-Assisted Interactions
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  Data: <searchLink fieldCode="AR" term="%22Basani%2C+Jasvith+Raj%22">Basani, Jasvith Raj</searchLink><br /><searchLink fieldCode="AR" term="%22Niu%2C+Murphy+Yuezhen%22">Niu, Murphy Yuezhen</searchLink><br /><searchLink fieldCode="AR" term="%22Waks%2C+Edo%22">Waks, Edo</searchLink>
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  Data: 2024
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  Data: Computer Science<br />Physics (Other)<br />Quantum Physics
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  Data: Encoding quantum information within bosonic modes offers a promising direction for hardware-efficient and fault-tolerant quantum information processing. However, achieving high-fidelity universal control over the bosonic degree of freedom using native photonic hardware remains a challenge. Here, we propose an architecture to prepare and perform logical quantum operations on arbitrary multimode multi-photon states using a quantum photonic neural network. Central to our approach is the optical nonlinearity, which is realized through strong light-matter interaction with a three-level Lambda atomic system. The dynamics of this interaction are confined to the single-mode subspace, enabling the construction of high-fidelity quantum gates. This nonlinearity functions as a photon-number selective phase gate, which facilitates the construction of a universal gate set and serves as the element-wise activation function in our neural network architecture. Through numerical simulations, we demonstrate the versatility of our approach by executing tasks that are key to logical quantum information processing. The network is able to deterministically prepare a wide array of multimode multi-photon states, including essential resource states. We also show that the architecture is capable of encoding and performing logical operations on bosonic error-correcting codes. Additionally, by adapting components of our architecture, error-correcting circuits can be built to protect bosonic codes. The proposed architecture paves the way for near-term quantum photonic processors that enable error-corrected quantum computation, and can be achieved using present-day integrated photonic hardware.<br />Comment: 21 pages including supplement, 12 figures total
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      – SubjectFull: Quantum Physics
        Type: general
      – SubjectFull: Computer Science - Emerging Technologies
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      – SubjectFull: Physics - Optics
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      – TitleFull: Universal Logical Quantum Photonic Neural Network Processor via Cavity-Assisted Interactions
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            NameFull: Niu, Murphy Yuezhen
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              Y: 2024
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