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Postdoctoral position at Oxford, to work on classical and quantum optical neural networks

Quantiki
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⚡ Quantum Brief
A postdoctoral position is open under Professor Alexander Lvovsky at Oxford’s Quantum and Optical Technology Group to develop optical neural networks, replacing electronics with optics for faster, energy-efficient AI processing. The role focuses on building classical and quantum optical neural networks, aiming to match animal brains in efficiency and productivity while eliminating reliance on digital computers. Quantum aspects involve treating computer vision as a quantum sensing problem, enabling direct optical information extraction without traditional image capture or digital analysis. The one-year position, extendable pending funding, targets breakthroughs in quantum-enhanced machine learning and optical computing for real-world applications. Applications close February 5, 2026, with details available via the employer’s webpage.
Postdoctoral position at Oxford, to work on classical and quantum optical neural networks

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Postdoctoral position at Oxford, to work on classical and quantum optical neural networks Application deadline: Thursday, February 5, 2026Employer web page: See further details and applyJob type: PostDocTags: #postdoc #quantum optics #optical neural networksWe are looking for a postdoc to work with the Quantum and Optical Technology Group under the supervision of Professor Alexander Lvovsky on implementing artificial neural networks using optics rather than electronics. Optical neural networks would enable us to enhance both the power efficiency and speed of neural networks by several orders of magnitude. These neural networks will be operational without any involvement from digital computers, and approach animal brain in terms of both productivity and energy efficiency. The quantum aspect of the project involves marrying computer vision with quantum physics, treating vision tasks as quantum sensing problems. Instead of image capture followed by digital analysis, we propose to design and train optical neural networks to extract information in the most efficient way permitted by quantum mechanics. The position is for one year, with possible extension contingent on funding availability. Log in or register to post comments

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Source: Quantiki