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Before a quantum system can run algorithms, we calibrate waveforms, microwave and DC signals that guide qubit behavior. Every pulse must be tuned for reliable computation. Learn more →

Google Quantum AI

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14,935 views • 8 months ago •via X (Twitter)

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Although powerful, quantum computing is not seamless. Noise is an inevitable phenomenon that is a result of inherent randomness and uncertainty that can lead to computation errors. Google's Quantum AI team is looking for ways to mitigate this and uncover new insights.

Although powerful, quantum computing is not seamless. Noise is an inevitable phenomenon that is a result of inherent randomness and uncertainty that can lead to computation errors. Google's Quantum AI team is looking for ways to mitigate this and uncover new insights.

Google Quantum AI

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Qubit Quantum Protected Wallets Quantum security. Universal access. ✅ Works with your favorite wallet apps, or try the native Qubit Wallet for seamless transactions right on the Qubit dApp. Get started in 3 steps: 1️⃣ Visit 2️⃣ Click QBIT Wallet 3️⃣ Create your Quantum Wallet Future-proof your assets. Quantum security for everyone.

Qubit Quantum Protected Wallets Quantum security. Universal access. ✅ Works with your favorite wallet apps, or try the native Qubit Wallet for seamless transactions right on the Qubit dApp. Get started in 3 steps: 1️⃣ Visit 2️⃣ Click QBIT Wallet 3️⃣ Create your Quantum Wallet Future-proof your assets. Quantum security for everyone.

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Every lone voice is a failed voice. There must be a CHORUS before a people may be saved! We Can!

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Dele Farotimi. A victim of Nigeria

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“Anybody can learn quantum.” Olivia Lanes, IBM Quantum Content and Education, breaking down quantum computing for #NYTechWeek

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As we build towards quantum-centric supercomputing, we intend to deliver a 100,000-qubit system by 2033. Together with UTokyo | 東京大学, The University of Chicago and our ecosystem, we will work towards this system which could help solve our most complex global challenges.

As we build towards quantum-centric supercomputing, we intend to deliver a 100,000-qubit system by 2033. Together with UTokyo | 東京大学, The University of Chicago and our ecosystem, we will work towards this system which could help solve our most complex global challenges.

IBM Research

2,673,444 views • 3 years ago

America we are here in Washington DC at Rededication America 250! We must be a nation that can humble ourselves before a Holy God and return back to him. He is our Lord and Savior Jesus Christ! #Freedom #Liberty #OneNationUnderGod

America we are here in Washington DC at Rededication America 250! We must be a nation that can humble ourselves before a Holy God and return back to him. He is our Lord and Savior Jesus Christ! #Freedom #Liberty #OneNationUnderGod

Leon Benjamin

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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:

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 views • 8 months ago

Can AI become conscious? The argument here is that real thinking is not just computation. Understanding, music, love, and awareness may involve something deeper than what a computer can run. The key point is quantum mechanics. Most physics can be turned into algorithms, but the measurement problem still leaves a gap: something happens that our equations do not fully explain. That is where consciousness may live, in a part of reality that cannot simply be coded. If that is true, AI may get smarter, faster, and more convincing, but still miss the one thing that makes understanding human. Source: YourWeeklyCrew (Youtube) / Writer: Sol

Can AI become conscious? The argument here is that real thinking is not just computation. Understanding, music, love, and awareness may involve something deeper than what a computer can run. The key point is quantum mechanics. Most physics can be turned into algorithms, but the measurement problem still leaves a gap: something happens that our equations do not fully explain. That is where consciousness may live, in a part of reality that cannot simply be coded. If that is true, AI may get smarter, faster, and more convincing, but still miss the one thing that makes understanding human. Source: YourWeeklyCrew (Youtube) / Writer: Sol

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This week, DC will see a new TV campaign that explains how crypto moves America forward and why it’s the most important technology we have to create more economic freedom. It’s time to update the system. Crypto can help. Learn more at

This week, DC will see a new TV campaign that explains how crypto moves America forward and why it’s the most important technology we have to create more economic freedom. It’s time to update the system. Crypto can help. Learn more at

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🚨Google recently announced the Willow - 105 Qubit Quantum computing chip. This made a lot of people question whether quantum computing is close to breaking Bitcoin. Watch this Video where we explain - What is quantum computing & can it break Bitcoin. This video is from 5 years ago - Back then Google was able to achieve close to 53 Qubit.

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🚨 BRYAN JOHNSON: “We already live in a world run by algorithms. When you use Netflix, you’re not picking your content, the algorithm is for you. We don’t have free will. We’re already immeshed in this system of algorithms and we can’t see it. The irony is that we’re already this dystopia that we think is happening.”

🚨 BRYAN JOHNSON: “We already live in a world run by algorithms. When you use Netflix, you’re not picking your content, the algorithm is for you. We don’t have free will. We’re already immeshed in this system of algorithms and we can’t see it. The irony is that we’re already this dystopia that we think is happening.”

Autism Capital 🧩

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This experience was disappointing and honestly worrying. Emergency response is not something any city should take lightly. In critical moments, every second matters. A functional and reliable emergency system saves lives, reduces traffic chaos, and gives people confidence that help will come when needed. Lagos is growing fast, and our emergency response system must grow with it. We need faster response times, better coordination, more equipment, and more accountability. We can do better. And we should. #accident #lagosnigeria #emergencies

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🚨Scientists just found a strange quantum state in graphene that could make future sensors dramatically more sensitive. It is the kind of physics that sounds almost unreal: a sheet of carbon so finely tuned that it may one day catch signals the way a living nervous system seems to feel the faintest touch.

🚨Scientists just found a strange quantum state in graphene that could make future sensors dramatically more sensitive. It is the kind of physics that sounds almost unreal: a sheet of carbon so finely tuned that it may one day catch signals the way a living nervous system seems to feel the faintest touch.

Kekius Maximus

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A new scientific understanding of human intuition: 1) We know the body engages in quantum processes despite being “warm, wet and noisy”, conditions for quantum decoherence. Quantum biology is a growing field encapsulating enzyme creation, bird navigation via avian cryptochromes and photosynthesis 2) In science and epistemology we have a problem: why do we see reality in its discrete, macroscopic form and not its probabilistic quantum form? 3) Roger Penrose hypothesized that the brain is a room temperature quantum system collapsing quantum reality into macroscopic reality. Hameroff followed up with a physical candidate for the “collapser”: the microtubules 4) Quantum systems engage in temporal non-locality (along with spatial non-locality). Some hypothesize that in a working quantum computer, we’ll be able to send information back in time. We already can reverse qubit positions in quantum computations! 5) So can the brain also engages in time travel? Why do humans need less information to make snap judgments (than, say, large language models)? Maybe because our brains can access the future. This would might explain remote viewing data as studied by the CIA’s stargate program and validated by President of the American Statistical Society, Jessica Utts (in a more physical model) *I think this this an interesting, generative theory but likely incomplete

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We’re building a SMARTER National Airspace System using the latest technology to create a more balanced, strategically deconflicted airspace. That means more reliable operations and a smoother travel experience for the flying public, every single day!

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Former Google CEO, Eric Schmidt testifies before Congress and said "I honestly believe the AI revolution is under-hyped" "These algorithms will require far more computation and energy than we’ve ever needed before." $NVDA

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