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Hãy viết đoạn tóm tắt về nội dung bằng tiếng việt kích thích người mua: Intel Plans a Quantum Computing Approach to Leapfrog Rivals

In the potentially revolutionary new technology of quantum computing, the number of qubits a machine uses to process data isn’t the only factor that matters. But it’s a big deal, and Intel believes its strategy — staying as close to conventional computers as possible — will pay off in the long run by enabling large qubit counts.

By some measures, Intel lags rivals in developing quantum computers. It hopes to leapfrog them with quantum computer processors that eventually will have enough capacity to fulfill the promise of quantum computers in jobs like developing new battery or solar panel materials, making fertilizer cheaper to manufacture, optimizing financial investments, developing better waterproof clothing, and the somewhat scarier prospect of cracking today’s encryption. Quantum computers also show promise for accelerating AI.

Quantum computing relies on the weird physics of the ultrasmall. Conventional computers store data in bits that store either a zero or one, but the fundamental element quantum computers use to store and manipulate data, the qubit, can store a peculiar combination of zero and one through a phenomenon called superposition. And multiple qubits can be entangled, intertwining their computing fates in a way that stands to dramatically accelerate some computation tasks.

Qubits are flighty creatures, easily perturbed by outside forces that derail computations. One approach to addressing that situation is by ganging multiple physical qubits into a single larger error-corrected qubit that doesn’t lose the thread as fast. But error correction will mean quantum computers need even more qubits.

“You’ve got to scale to millions of qubits, and you’ve got to scale to millions of error-correcting qubits to get to effective computing workloads,” Intel Chief Technology Officer Greg Lavender said in a speech at Intel’s Innovation conference Wednesday.

It’s too early to declare victory, but CCS Insight analyst James Sanders believes Intel’s approach at least shows promise. “The idea of Intel trying to leverage decades of experience in manufacturing to build a qubit around silicon will inevitably work. I don’t know if it’s going to be a market leader,” he said.

IBM, Google and startup Rigetti Computing like superconducting qubits — small circuits cooled to within a fraction of a degree of absolute zero. IonQ and Quantinuum like ion traps, which shuttle electrically charged atoms around for interactions that are slower but more reliable. Others are working with electrically neutral atoms or the light particles called photons.

After exploring the superconducting qubit approach, also called transmon qubits, Intel instead picked a technique that’s close to conventional microprocessor manufacturing — already the company’s bread and butter. It uses electrons housed in silicon chips, employing a quantum mechanical property called spin to record the qubit’s state.

“We’re the only company working on silicon qubits, using the same process and materials we’re already using tweaking them a little bit to create leading-edge qubits,” Gelsinger said in a Tuesday speech. “If we get this working, we can do this at scale.”

These spin qubits could be a contender in delivering the quantum computing progress that Sanders expects.

“I’m convinced there will be something that is not a transmon (superconducting) or ion trap that ends up eclipsing the ability of quantum computing today by 2030,” he said.

I Got an Early Look at Intel’s Glass Packaging Tech for Faster Chips

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