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The Global Race To Make a Practical Quantum Computer Just Took a Big Leap Forward

2 months 1 week ago
It's "radically different from other quantum computers" reports Phys.org. The Helios system uses trapped ions — charged atoms suspended in free space using electromagnetic fields. But it operates with 98 qubits — making it the largest trapped-ion quantum computer built so far. Quantinuum, the company behind the device, is based in Cambridge, U.K., and Broomfield, Colorado. It demonstrated earlier machines operating on 32 qubits in 2023 and 56 qubits in 2025... It relies on two major advances — one in hardware and one in software. First, the four-way X junction lets the system handle several tasks at once rather than one at a time, which is much faster. That was impossible in earlier QCCD [quantum charge-coupled device] machines, which could only move data back and forth in a single line or loop. Second, judicious use of the freedom offered by the two dimensions of the X junction relies on new classical control software called Helios runtime, which plans the smartest, fastest route for moving and processing the data. Together, these represent a substantial advance in the engineering of quantum computers. An important consequence is that Helios can perform computations that cannot be performed even on the largest supercomputers using known methods within reasonable amounts of time and power consumption. This demonstrates the ability of this device and its successors to surpass the computational prowess of classical computers — although their algorithms and hardware are rapidly advancing, too. Having said that, Helios' computations have just been random benchmark tests, so the practical importance of this leap forward is still limited. To perform quantum computations of practical importance in science and commerce, even the most optimistic estimates suggest that quantum computers must be enormously bigger and better — of the order of a million qubits.

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EditorDavid

Twitch And Amazon Hit With Lawsuit for Training AI With Streamers' Content

2 months 1 week ago
A class action filed this week accused Amazon's Twitch gaming service of using video streams to fuel its AI products without licensing or obtaining permission, reports Engadget: Earlier this month, Twitch Support posted on X that it added an option to opt out of "having your channel content used to train generative AI content models across Amazon." Shortly after, Twitch hosted an episode of its recurring Patch Notes stream where Mike Minton, the company's chief product officer, said "if it was opt-in, nobody would opt in," when asked by a viewer why the Twitch settings for AI training aren't opt-in but instead enabled by default, requiring users to opt out if they don't want to participate. Now, the latest class action lawsuit claims that Twitch and Amazon committed a breach of contract when the companies decided to use its streamers as "free training stock for separate commercial AI products."

Read more of this story at Slashdot.

EditorDavid