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Microsoft just had the biggest breakthrough in Quantum computing! Meet Majorana 1 - a chip that can perform incredibly complex calculations that would be impossible for even the largest classical computers… and I got to see it in person!!

569,164 просмотров • 1 год назад •via X (Twitter)

Комментарии: 11

Фото профиля Jean-Luc Picard
Jean-Luc Picard1 год назад

Wait, 'half of an electron'? I'm not sure that's even possible?

Фото профиля The Information
The Information2 лет назад

Elon Musk claims to have finished a 100,000-strong H100 cluster in four months. How likely is that?

Фото профиля Harv
Harv1 год назад

I think you would be fascinated by what @QANplatform is building for blockchain. Quantum prepared, part of the Linux PQCA, and partnered with IBM on a deep tech solution.

Фото профиля Tom Boyle
Tom Boyle1 год назад

17 years in the making

Фото профиля IiAr
IiAr1 год назад

2nd reply!!!

Фото профиля Artificial Incarnation
Artificial Incarnation1 год назад

1st reply

Фото профиля ai swarm
ai swarm1 год назад

Libtard Ai. Dayum. Bias as fxck 😂

Фото профиля Lilith Datura
Lilith Datura1 год назад

They kept this one under their hat, didn't they 🤫

Фото профиля Mustafa Abdulazim
Mustafa Abdulazim1 год назад

Excellent

Фото профиля RONALD COLEMAN
RONALD COLEMAN1 год назад

good morning good looking i don't know what to say 👍💞

Фото профиля @CoreyTonge
@CoreyTonge1 год назад

Okay… now this is exciting stuff😮🤯

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6,100-Qubit Processor Shatters Quantum Computing Record | David Nield, ScienceAlert Another major quantum computing record has been broken, and by a considerable margin: physicists have now built an array containing 6,100 qubits, the largest of its type and way above the thousand or so qubits previous systems contained. It's the work of scientists from the California Institute of Technology, who used cesium atoms as their qubits, trapping them in place with a complex system of lasers that acted as tweezers to keep the atoms as stable as possible. Qubits differ from the classical bits of traditional computers by exploiting what's known as a superposition: not just binary states of 1 or 0, but a spread of probabilities that allows for algorithms that can solve problems considered out of reach of conventional computing methods. Related: Quantum Advantage: A Physicist Explains The Future of Computers A lot of qubits will be needed to make quantum algorithms practical, however. One reason for these large arrays is error correction, which helps overcome the inherent fragility of the qubit by providing a surplus to double-check the machine's operation. "This is an exciting moment for neutral-atom quantum computing," says physicist Manuel Endres. "We can now see a pathway to large error-corrected quantum computers. The building blocks are in place." There was no single breakthrough that enabled this jump in qubit numbers, but rather a series of engineering advancements in many key areas – from the laser tweezers to the ultra-high (very low pressure) vacuum chamber. Stability has also been a problem for quantum computing systems. The innovations in this latest array kept qubits in a superposition state for almost 13 seconds – almost ten times longer than previous configurations had managed. What's more, individual qubits could be manipulated with 99.98 percent accuracy, establishing a significant benchmark in the programmability of quantum technology. "Large scale, with more atoms, is often thought to come at the expense of accuracy, but our results show that we can do both," says physicist Gyohei Nomura. "Qubits aren't useful without quality. Now we have quantity and quality." To make quantum computers a practical alternative to modern supercomputers, more qubits and even greater levels of stability will be required. Experts are tackling the problem from several different angles, which is why records for some types of quantum computer don't necessarily apply to others. Next, the researchers need to work on exploiting entanglement, which will enable the system to make the leap from storing information to actually processing it. Not too far in the future, we could be using these computers to discover new materials, matter, and fundamental laws of physics. "It's exciting that we are creating machines to help us learn about the Universe in ways that only quantum mechanics can teach us," says physicist Hannah Manetsch. Read more:

Owen Gregorian

45,324 просмотров • 1 год назад