Intel has 49 qubit superconducting quantum chip and a neuromorphic chip

At CES 2018, Intel CEO Brian Krzanich announced the successful design, fabrication and delivery of a 49-qubit superconducting quantum test chip. The keynote also noted the promise of neuromorphic computing.

Above – Intel Corporation is making fast progress scaling superconducting quantum computing test chips to higher qubit counts — from 7, to 17 and now 49 qubits (left to right). Multiple gold connectors are required to control and operate each qubit. (Credit: Walden Kirsch/Intel Corporation)

Intel Corporation’s 49-qubit quantum computing test chip, code-named “Tangle Lake,” was unveiled at 2018 CES in Las Vegas.

CEO Brian Krzanich calling it a major breakthrough in quantum computing and the next step to quantum supremacy (when quantum computers are faster than classical computers).

Intel has a neuromorphic computing chip. The artificial intelligence (AI) test chip Loihi, which was announced in September.

According to Krzanich, Intel now has a fully functioning neuromorphic chip that after a few weeks is already performing simple object recognition in the labs.

The Intel Nervana NNP (Neural Network Processor) promises to revolutionize AI computing across myriad industries. Using Intel Nervana technology, companies will be able to develop entirely new classes of AI applications that maximize the amount of data processed and enable customers to find greater insights – transforming their businesses. Examples include:

Health care: AI will allow for earlier diagnosis and greater accuracy, helping make the impossible possible by advancing research on cancer, Parkinson’s disease and other brain disorders.

Social media: Providers will be able to deliver a more personalized experience to their customers and offer more targeted reach to their advertisers.

Automotive: The accelerated learning delivered in this new platform brings us another step closer to putting autonomous vehicles on the road.

Weather: Consider the immense data required to understand movement, wind speeds, water temperatures and other factors that decide a hurricane’s path. Having a processor that takes better advantage of data inputs could improve predictions on how subtle climate shifts may increase hurricanes in different geographies.

Intel is on track to exceed the goal they set in 2016 of achieving 100 times greater AI performance by 2020.