Why it matters — This so-called "quantum brain" is an example of neuromorphic computing — computing systems designed to mimic the biological structures of the brain.

While comparing neurons and transistors is a convenient metaphor (and not completely out of left field), the brain is ultra-efficient, its energy is renewable, and it’s capable of computational feats ...

“Quantum” is a term thrown around so often, especially in the realm of pseudoscience, that it can be devoid of meaning if it’s not properly contextualized, but it doesn’t have to be confusing.

May 15, 2024: Quantum neuroelectronic devices emulate brain synapses, show potential to mitigate cognitive decline (Nanowerk Spotlight) The complex neural networks of the human brain, with their ...

UB researchers are taking inspiration from the human brain to develop computing architecture that can support the growing ...

It is also the first model to apply quantum mechanics as an instrument for analyzing the brain. The UPF and Oxford researchers describe this model in their study.

By imitating networks of neurons in the human brain, computer chips made of quantum materials could allow for more efficient, intelligent devices that perhaps rival our own minds.

Few computer science breakthroughs have done so much in so little time as the artificial intelligence design known as a transformer. A transformer is a form of deep learning—a machine model ...

By mimicking the synapses of the human brain. They published their findings, "Spatially Distributed Ramp Reversal Memory in VO 2 " in Advanced Electronic Materials which is featured on the back ...

Synapses as a model: ... more than 15 years on special data storage devices and components that can have similar properties to the synapses in the human brain. ... Roadmap neuromorphic computing.

Professor Seth Lloyd of MIT, a pioneer in quantum computing, praised the study. “It’s good to be reminded that the computation performed by living systems is vastly more powerful than that ...