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Taiwan Sees Clouds in Its Forecast

The nation plans to invest hundreds of millions to seed cloud-computing efforts

2 min read

Think Taiwan and you think manufacturing, not services. But the island's government wants to change that. Taiwan plans to invest NT $24 billion (US $744 million) in the development of cloud-computing technology and services over the next five years. The government predicts that the cloud-computing sector will be worth US $31 billion globally by 2014 and wants its industry to get involved now in order to get a piece of it. Cloud computing uses the Internet and remote servers to store data and run applications for devices such as computers and smartphones.

"We should take advantage of Taiwan's strong information and communications technology industry, further upgrading it in order to seize business opportunities involving cloud-computing technology," Premier Den-yih Wu told reporters in April. Officials said that the development of the technology would help push integration among the hardware, software, and service industries, so that eventually Taiwan would be able to export cloud services.

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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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