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Cable Slouches Toward Open Access

Cable operators have decided they need to back open access, but technical and regulatory hurdles stand in the way of sharing their lines

11 min read
Cable Slouches Toward Open Access

Telephone Common-Carrier Model

Can the Telephone Common-Carrier Model Be Emulated in Cable? Cable systems at present [at bottom right] closely resemble the U.S. telephone system as it was organized before the Bell telephone system was split up, separating long-distance service from regional operating companies. At issue now is whether U.S. cable companies can be restructured along similar lines, so that competing Internet Service Providers (ISPs) can have access over their systems into individual homes. In general terms, diagrams immediately below indicate, the problem seems to be solvable--a multi-access cable system does not look radically different from a multi-access long-distance telephone network. But in the details of open-access cable systems lurk some tricky problems, mostly having to do with capacity allocation. Click on the image to enlarge.

The broadband cable business has become a study in role reversals. The U.S. Federal Communications Commission, which might be expected to push for open-access rules, has never seemed too interested in such heavy-handed regulation of the Internet. And many cable providers--precisely those, one might think, that would surely resist open access with every fiber of their beings--are on record as supporting it. Some are even trying to implement it themselves.

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Dialing Down a Quantum Compute Glitch by 100,000x

A low-key solution to qubits’ cosmic ray problem

3 min read
Conceptual computer artwork of electronic circuitry contained within spheres against beams of light, representing how data may be controlled and stored in a quantum computer.
Mehau Kulyk/Science Source

The kind of quantum computers that IBM, Google and Amazon are building suffer catastrophic errors roughly once every 10 seconds due to cosmic rays from outer space. Now a new study reveals a way to reduce this error rate by nearly a half-million-fold to less than once per month.

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2 min read
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iStock

This article is part of our exclusive IEEE Journal Watch series in partnership with IEEE Xplore.

Deep learning is a critical computing approach that is pushing the boundaries of technology – crunching immense amounts of data and uncovering subtle patterns that humans could never discern on their own. But for optimal performance, deep learning algorithms need to be supported with the right software compiler and hardware combinations. In particular, reconfigurable processors, which allow for flexible use of hardware resources for computing as needed, are key.

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Download these free whitepapers to learn more about emerging technologies like 5G, 6G, and quantum computing

1 min read
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Keysight

Looking for help with technical challenges related to emerging technologies like 5G, 6G, and quantum computing?

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