Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

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!!

569,078 görüntüleme • 1 yıl önce •via X (Twitter)

11 Yorum

Jean-Luc Picard profil fotoğrafı
Jean-Luc Picard1 yıl önce

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

The Information profil fotoğrafı
The Information1 yıl önce

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

Harv profil fotoğrafı
Harv1 yıl önce

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.

Tom Boyle profil fotoğrafı
Tom Boyle1 yıl önce

17 years in the making

IiAr profil fotoğrafı
IiAr1 yıl önce

2nd reply!!!

Artificial Incarnation profil fotoğrafı
Artificial Incarnation1 yıl önce

1st reply

ai swarm profil fotoğrafı
ai swarm1 yıl önce

Libtard Ai. Dayum. Bias as fxck 😂

Lilith Datura profil fotoğrafı
Lilith Datura1 yıl önce

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

Mustafa Abdulazim profil fotoğrafı
Mustafa Abdulazim1 yıl önce

Excellent

RONALD COLEMAN profil fotoğrafı
RONALD COLEMAN1 yıl önce

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

@CoreyTonge profil fotoğrafı
@CoreyTonge1 yıl önce

Okay… now this is exciting stuff😮🤯

Benzer Videolar

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

43,078 görüntüleme • 10 ay önce