CES 2018: Intel gives glimpse into mind
Brian Krzanich
Intel CEI Brian Krzanich  announced Monday evening in a CES keynote presentation that  the company  is neck-in-neck with other competitors in the race to make universal quantum computers that can solve problems that are impossible on todayâs supercomputers.  The semiconductor giant  is competing against Google  IBM and other companies to reach âquantum supremacy â the marker at which universal quantum computers outpace traditional computers that represents an important Kitty Hawk moment for data processing.
 Krzanich  said  the company  has created a 49-qubit quantum computing chip and have shipped  it  to  their  partners for use testing  representing a big step in quantum computing for  the company .
âQuantum computing represents a completely different approach to computing. This technology will be able to solve problems that are insurmountable today â  Krzanich  said in  his  speech. âJust as we ushered in the era of our classical personal computing  weâre pushing the boundaries of the quantum computing revolution.â
What are those impossible problems? Simulating the side effects of pharmaceutical drugs  simulating catalysts that speed up chemical reactions (which can lead to more energy-efficient applications) and breaking cryptography  Mike Mayberry  corporate vice president and managing director of Intel Labs told Fox News.  Krzanich  said one potential use is for research into better-quality materials  such as more efficient superconductors.
 Krzanich  also discussed the development of a neuromorphic test chip  nicknamed âLoihi.â Neuromorphic chips are closer to traditional computer chips  but they are built to imitate neurons in a human brain  giving it the ability to learn as it runs.
Neuromorphic chip are expected to be able to identify objects from different angles while moving better than existing systems  he said. This ability opens the door to real-time analysis of complex data   Krzanich  said.
 It âs possible neuromorphic chips could be used in a product such as a smartphone in two to four years  Mayberry said.
âWeâre really optimistic about what this new kind of computing can achieve over time â  Krzanich  said in  his  presentation.
[TGT] announced Monday evening in a CES keynote presentation that  the company  is neck-in-neck with other competitors in the race to make universal quantum computers that can solve problems that are impossible on todayâs supercomputers.   [TGT] is competing against Google  IBM and other companies to reach âquantum supremacy â the marker at which universal quantum computers outpace traditional computers that represents an important Kitty Hawk moment for data processing.
  [TGT] said  the company  has created a 49-qubit quantum computing chip and have shipped   [TGT]   to  their  partners for use testing  representing a big step in quantum computing for  the company .
âQuantum computing represents a completely different approach to computing. This technology will be able to solve problems that are insurmountable today â   [TGT] said in   [TGT]   speech. âJust as we ushered in the era of our classical personal computing  weâre pushing the boundaries of the quantum computing revolution.â
What are those impossible problems? Simulating the side effects of pharmaceutical drugs  simulating catalysts that speed up chemical reactions (which can lead to more energy-efficient applications) and breaking cryptography  Mike Mayberry  corporate vice president and managing director of Intel Labs told Fox News.   [TGT] said one potential use is for research into better-quality materials  such as more efficient superconductors.
  [TGT] also discussed the development of a neuromorphic test chip  nicknamed âLoihi.â Neuromorphic chips are closer to traditional computer chips  but they are built to imitate neurons in a human brain  giving it the ability to learn as it runs.
Neuromorphic chip are expected to be able to identify objects from different angles while moving better than existing systems  he said. This ability opens the door to real-time analysis of complex data    [TGT] said.
  [TGT]  âs possible neuromorphic chips could be used in a product such as a smartphone in two to four years  Mayberry said.
âWeâre really optimistic about what this new kind of computing can achieve over time â   [TGT] said in   [TGT]   presentation.