CES Intel releases 49 qubit superconducting test chip and artificial intelligence chip at the same time

Intel, which recently faced challenges with chip security issues, finally had some positive news. At the 51st International Consumer Electronics Show (CES 2018), Intel Corporation unveiled significant progress in its future computing technologies—quantum and neuromorphic computing. This marked a turning point for the company as it showcased its commitment to innovation and advancement. ![Intel's Tangle Lake Chip](http://i.bosscdn.com/blog/DD/A8/14/452B067531m.jpg) During his keynote address, Intel CEO Brian Kozyniak introduced the Tangle Lake, a 49-qubit superconducting test chip that represents a major step forward in quantum computing. Named after a series of lakes in Alaska, "Tangle" symbolizes the entanglement of qubits, a crucial element in quantum systems. The chip is designed to operate at extremely low temperatures, essential for maintaining quantum coherence. The Tangle Lake chip marks a key milestone in Intel’s journey toward building a full-scale quantum computing system. It integrates advanced architecture, algorithms, and electronic control mechanisms, enabling researchers to explore and refine error correction techniques and simulate complex computational problems. The chip itself is about the size of a quarter, featuring improved thermal performance and reduced RF interference. Its expandable interconnect design allows more signals to flow in and out, making it ideal for scaling up quantum integrated circuits. In addition to quantum computing, Intel also announced the launch of Loihi, its first neuromorphic chip. Inspired by the human brain, Loihi mimics neural processes through spike-based communication, allowing different parts of the chip to handle various learning tasks. Unlike traditional AI systems, Loihi becomes smarter over time without requiring massive amounts of training data. Initial applications include robotics and autonomous vehicles, though its current capabilities are limited to basic recognition tasks. Kozyniak emphasized that quantum computing has the potential to solve problems that today’s most powerful supercomputers take months or even years to tackle, such as drug discovery, financial modeling, and climate prediction. While the field is still in its early stages, Intel is pushing the boundaries of what’s possible, setting the stage for a new era of computing.

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