photonic chip technology could change quantum computing with ai breakthrough

An integrated photonic chip that isolates light could end size limitations in quantum computing technology and smart devices. Using an integrated photonic chip in computers instead of a silicon chip with electrons could make light-speed computing possible, but at what…

photonic chip technology could change quantum computing with  ai breakthrough

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An integrated photonic chip that isolates light could end size limitations in quantum computing technology and smart devices. Using an integrated photonic chip in computers instead of a silicon chip with electrons could make light-speed computing possible, but at what cost…?

This might be the end of the silicon chip which potentially could change computing forever, here’s what’s next in science & technology.

Researchers at the University of Illinois used readily available materials to create a small photonic circuit that uses sound waves to isolate and control light and can adapt to different wavelengths.

We are starting to see very strong limitations in conventional computing. Integrated Photonics may be the answer to this problem as it can offer faster processing speeds for machine learning and even be utilized for quantum algorithms.

Photonics researchers at the National Physical Laboratory (NPL) have achieved the extraordinary by creating a diode consisting of light that can be used, for the first time, in miniaturized photonic circuits.

10 GHz Optical Transistor Built Out Of Silicon, Is a significant step forward for all-optical computing, physicists build a silicon transistor that works with pure light.

photonic chip technology could change quantum computing as a breakthrough in Computing performance Forever in the near future.

Integrated Photonic advantages are the same as optical fiber data transfer around the world wide web.

Artificial neural networks have dramatically improved performance for many machine-learning tasks, including speech and image recognition.

However, today’s computing hardware is inefficient at implementing neural networks, in large part because much of it was designed for von Neumann computing schemes.

Here, we propose a new architecture for a fully optical neural network that, in principle, could offer an enhancement in computational speed and power efficiency over state-of-the-art electronics for conventional inference tasks.

Read more at https://phys.org/news/2018-04-photonic-chips.html

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