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Quantum computers = brainiacs of the future 🤯💻 They use qubits to solve problems faster than any supercomputer! Why does it matter? Let’s break it down with ً at #BlumAcademy

108,706 次观看 • 1 年前 •via X (Twitter)

11 条评论

Zizicrypto.eth ꧁IP꧂ 的头像
Zizicrypto.eth ꧁IP꧂1 年前

@KayIDot expected airdrop

free durov 🤖 的头像
free durov 🤖1 年前

@KayIDot Fuck u scamer

Kelvin👑 的头像
Kelvin👑1 年前

@KayIDot MFS when are you guys gonna list????

FRANK E ELKINS 的头像
FRANK E ELKINS2 年前

Einstein said time is an illusion. Ever wonder why? Always wanted a Deeper Knowledge of Science? Wish you could Understand Einstein and Quantum Mechanics without needing a degree in Math or Science? This is the book you’ve been waiting for!

Ahrla - pro XRP 的头像
Ahrla - pro XRP1 年前

@KayIDot 😂😂😂🤡

Kaan 的头像
Kaan1 年前

@KayIDot Scam

chiba_Michiyoo 的头像
chiba_Michiyoo1 年前

@KayIDot Quantum scammer = BLUM niac of the SCAMMER THEY USE QUBIT TO SCAM PEOPLE MAKING A YEAR A YEAR OF BULLSHIT 🖕🏾🤡🤡🤡🖕🏾🖕🏾🤣

zmoney🇧🇪 的头像
zmoney🇧🇪1 年前

@KayIDot Mumu make una list jare

Kaz 的头像
Kaz1 年前

@KayIDot It’s fair to compare @blumcrypto with @wcoin_io now 😹. There’s absolutely no integrity. They make promises to the community, and when the time comes, they change them at will. Is it safe to invest even a dollar in such a project? I don’t think so. #blumscam #failedproject

yaşar soylu 的头像
yaşar soylu1 年前

@KayIDot Could quantum computers also know when Blum will be listed?

Umarsmarrt 📈📊 的头像
Umarsmarrt 📈📊1 年前

@KayIDot What's $Blum cooking?

相关视频

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 次观看 • 8 个月前

The Google and Caltech quantum papers demonstrated 2 breakthroughs: that Bitcoin cryptography is much easier to break than previously thought, and that far fewer logical qubits may be necessary for physical qubits. Project Eleven CEO Alex Pruden explains: "These two papers are not necessarily about a quantum computer that's bigger or more capable. They're about what it takes to break cryptography." "So what changed? One of the things that changed was that physicists and quantum cryptographers that looked at this problem for a long time studied an algorithm called RSA — an older cryptographic algorithm." "But that's not what really any blockchains use, because RSA keys are very large. It turns out, and this was one of the key upshots of the Google paper, that if you focus on the cryptography used by Bitcoin, Ethereum, and other networks, it's actually way easier to break than they thought it was, compared to RSA." "The other big breakthrough, and this is from the Caltech paper: Quantum computers are very fragile, generally. So to be useful, they need to have what's called error correction applied. And that can result in a lot of overhead. You need to have tons of physical qubits to get to one logical qubit." "This Caltech paper basically showed, 'Hey, we have some new ideas for error correction. And it turns out if we apply those, we don't need hundreds or thousands of physical qubits, maybe we just need a handful to make one logical cubit.'" "The headline of their paper is 'You may only need 10,000 physical qubits to run Shor's algorithm.' And by the way, they demonstrated 6,000 last year."

TBPN

16,396 次观看 • 2 个月前