HP Won't Divorce PCs

Like a cash strapped couple, they can't separate

1 min read
HP Won't Divorce PCs

Back in August I commented on HP's plan-of-the-moment to spin-off its PC business. Following on its abortive effort at the tablet market, the move was a clear indication that the company was giving up on consumers. (My headline was "HP to Consumers: Drop Dead.")

But according to HP's new CEO, Meg Whitman, divorcing PCs from the rest of HP would be too onerous. From the AP story:

The company said that its evaluation of the business unit revealed a deep integration across key operations, such as its supply chain and procurement. Ultimately, the review found that the cost of recreating these operations in a single company outweighed any benefits of separating the PC unit.

So, does this mean the divorce is off, but the resentment remains?

No. Whitman seems to recognize that you can't make a half-effort in the PC business. HP plans to dive into ultrabooks and even take another swing at tablets, this time using Windows 8 instead of Web OS.

Last August I opined that we were in the "post-both-consumer-and-business-focused-technology-conglomerate era." But, I guess I'd forgotten about just how much it can cost to un-conglomerate. Good luck HP.

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An IBM Quantum Computer Will Soon Pass the 1,000-Qubit Mark

The Condor processor is just one quantum-computing advance slated for 2023

4 min read
This photo shows a woman working on a piece of apparatus that is suspended from the ceiling of the laboratory.

A researcher at IBM’s Thomas J. Watson Research Center examines some of the quantum hardware being constructed there.

Connie Zhou/IBM

IBM’s Condor, the world’s first universal quantum computer with more than 1,000 qubits, is set to debut in 2023. The year is also expected to see IBM launch Heron, the first of a new flock of modular quantum processors that the company says may help it produce quantum computers with more than 4,000 qubits by 2025.

This article is part of our special report Top Tech 2023.

While quantum computers can, in theory, quickly find answers to problems that classical computers would take eons to solve, today’s quantum hardware is still short on qubits, limiting its usefulness. Entanglement and other quantum states necessary for quantum computation are infamously fragile, being susceptible to heat and other disturbances, which makes scaling up the number of qubits a huge technical challenge.

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