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This is absolutely GAME-CHANGING for Blender simulations! 💧🔥 FLIP Fluids 1.8.5 simulating multiple liquid densities SIMULTANEOUSLY? Water, oil, dirt in ONE simulation? That's the physics breakthrough we needed! ⚡ #b3d #flipfluids #flipfluidsaddon #simulations #3danimation

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3DxDEV

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18,757 次观看 • 10 个月前 •via X (Twitter)

#b3d#flipfluids#flipfluidsaddon#simulations#3danimation
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Cell Fluids 2.0 for #Blender is out Check out the new features in the popular lightweight fluid #simulation add-on, including the option to art direct simulations with guide curves, and to blend them into a wider ocean plane #CellFluids #B3D Shahzod Boyhonov
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Cell Fluids 2.0 for #Blender is out Check out the new features in the popular lightweight fluid #simulation add-on, including the option to art direct simulations with guide curves, and to blend them into a wider ocean plane #CellFluids #B3D Shahzod Boyhonov

CG Channel

33,883 次观看 • 1 年前

This is the EXACT feature we needed! 🎬🔥 Jonathan Lampel delivering on the #1 requested Render Raw feature! Per-camera layer binding is absolutely GENIUS for complex multi-camera setups! ⚡ ‼️Link In Comments‼️ #b3d #geometrynode #proceduralart #3dart #blender質 #3d #3Danimation #geonodes #B3D
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This is the EXACT feature we needed! 🎬🔥 Jonathan Lampel delivering on the #1 requested Render Raw feature! Per-camera layer binding is absolutely GENIUS for complex multi-camera setups! ⚡ ‼️Link In Comments‼️ #b3d #geometrynode #proceduralart #3dart #blender質 #3d #3Danimation #geonodes #B3D

3DxDEV

20,048 次观看 • 9 个月前

Elon Musk believes that we are in a simulation: "I do have this theory about predicting the future which is that the most interesting outcome is the most likely" "If simulation theory is accurate this makes sense because if anyone is simulating a wide range of futures they're going to stop the simulation when it gets boring" "This is what we do in reality. If SpaceX is doing simulations to understand how a rocket works we run all these simulations in the computer" "The simulations that we pay attention to are the ones that are the most interesting" "We could be an alien Netflix series and that series is only going to get continued if our ratings are good" "If you apply Darwin to simulation theory then only the most interesting simulations will continue" "Therefore the most interesting outcome is the most likely because it's either that or annihilation" "So really we have one goal. Keep it interesting."
2:01

Elon Musk believes that we are in a simulation: "I do have this theory about predicting the future which is that the most interesting outcome is the most likely" "If simulation theory is accurate this makes sense because if anyone is simulating a wide range of futures they're going to stop the simulation when it gets boring" "This is what we do in reality. If SpaceX is doing simulations to understand how a rocket works we run all these simulations in the computer" "The simulations that we pay attention to are the ones that are the most interesting" "We could be an alien Netflix series and that series is only going to get continued if our ratings are good" "If you apply Darwin to simulation theory then only the most interesting simulations will continue" "Therefore the most interesting outcome is the most likely because it's either that or annihilation" "So really we have one goal. Keep it interesting."

Brad

143,896 次观看 • 1 个月前

Real-time Fire and Liquid Simulation 🤯 Achieved using NVIDIA RTX PRO 6000 with 96 GB of VRAM 🤯🤯 Only Nerds like us get why this awesome!! Anybody who worked with 3D softwares knows how hard is it to learn and work with particle simulations in Real-time. Thanks to Dell Technologies and JangaFX Software we saw this Demo using the amazing softwares of EmberGen and LiquiGen where newcomers can quickly learn and execute complex simulations in real-time. Best part is you can export these simulations and bring it to your 3D software of choice such as Unreal Engine or Blender 🔶 😎😎
2:21

Real-time Fire and Liquid Simulation 🤯 Achieved using NVIDIA RTX PRO 6000 with 96 GB of VRAM 🤯🤯 Only Nerds like us get why this awesome!! Anybody who worked with 3D softwares knows how hard is it to learn and work with particle simulations in Real-time. Thanks to Dell Technologies and JangaFX Software we saw this Demo using the amazing softwares of EmberGen and LiquiGen where newcomers can quickly learn and execute complex simulations in real-time. Best part is you can export these simulations and bring it to your 3D software of choice such as Unreal Engine or Blender 🔶 😎😎

Bad Decisions Studio

40,028 次观看 • 1 年前

Elon Musk reveals why he believes the most interesting outcome is always the most likely "If simulation theory is true, it is very likely that the most interesting outcome is the most likely, because only the simulations that are interesting will continue" "The simulators will stop any simulations that are boring because they're not interesting" "In this reality, we run simulations all the time. When we try to figure out if the rocket's going to make it, we run thousands, sometimes millions of simulations" "When we do millions of simulations of what can happen with the rocket, we ignore the ones where everything goes right. We only care about where it goes wrong" "We keep the simulations going that are the most interesting to us" "From a Darwinian perspective, the only surviving simulations will be the most interesting ones" "In order to avoid getting turned off, the only rule is you must keep it interesting, or you will be terminated" "Video games have gone from Pong, with two rectangles in a square, to photorealistic with millions of people playing simultaneously, and all of that has occurred in our lifetime" "If that trend continues, video games will be indistinguishable from reality. You don't know if what you're seeing is a real video or a fake video" "If we're creating millions, if not billions, of photorealistic simulations of reality, then what are the odds that we're in base reality versus someone else's simulation?" "The most interesting and usually ironic outcome is the most likely. That's a good predictor of the future"
6:02

Elon Musk reveals why he believes the most interesting outcome is always the most likely "If simulation theory is true, it is very likely that the most interesting outcome is the most likely, because only the simulations that are interesting will continue" "The simulators will stop any simulations that are boring because they're not interesting" "In this reality, we run simulations all the time. When we try to figure out if the rocket's going to make it, we run thousands, sometimes millions of simulations" "When we do millions of simulations of what can happen with the rocket, we ignore the ones where everything goes right. We only care about where it goes wrong" "We keep the simulations going that are the most interesting to us" "From a Darwinian perspective, the only surviving simulations will be the most interesting ones" "In order to avoid getting turned off, the only rule is you must keep it interesting, or you will be terminated" "Video games have gone from Pong, with two rectangles in a square, to photorealistic with millions of people playing simultaneously, and all of that has occurred in our lifetime" "If that trend continues, video games will be indistinguishable from reality. You don't know if what you're seeing is a real video or a fake video" "If we're creating millions, if not billions, of photorealistic simulations of reality, then what are the odds that we're in base reality versus someone else's simulation?" "The most interesting and usually ironic outcome is the most likely. That's a good predictor of the future"

Jaynit

10,440 次观看 • 3 个月前

Very excited to share the release of my addon Blender FastHenry! Use Blender's powerful modelling capability combined with geometry nodes to run FastHenry simulations! Blender is becoming a multi-purpose tool not just a tool for 3D graphics and animation, but also for engineering and scientific work too. This video shows how you can calculate the impedance of wire bonds and leads of a Mosfet in a TO-220 package, you can see what effect bending the leads and adding a heatsink have on the impedance! hackaday Dave Jones Sybren A. Stüvel 🔶 🐈‍⬛ (sybren@fosstodon.org) #b3d #blender3d #electronics #geometrynodes #3dart #pcbdesign #transistors #Engineering #science #physics #Technology #kicad #simulation #manufacturing
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Very excited to share the release of my addon Blender FastHenry! Use Blender's powerful modelling capability combined with geometry nodes to run FastHenry simulations! Blender is becoming a multi-purpose tool not just a tool for 3D graphics and animation, but also for engineering and scientific work too. This video shows how you can calculate the impedance of wire bonds and leads of a Mosfet in a TO-220 package, you can see what effect bending the leads and adding a heatsink have on the impedance! hackaday Dave Jones Sybren A. Stüvel 🔶 🐈‍⬛ ([email protected]) #b3d #blender3d #electronics #geometrynodes #3dart #pcbdesign #transistors #Engineering #science #physics #Technology #kicad #simulation #manufacturing

Sam M

45,882 次观看 • 1 年前

Water simulation has always been the holy grail of FX, requiring an incredible amount of computation to get right. For Battleship (2012), ILM had to reinvent their water systems to allow them to be able to deliver the show with it's plethora of shots in water. The alien ships are hundreds of feet long and therefore displace massive amounts of water. This, coupled with them making aggressive movements meant that hundreds of millions of droplets of water had to be simulated per shot to get a believable look of water interaction. Before their new water systems, artists were only able to get "1-2 simulations done per day", but with the new system they were able to "do many simulations per day", increasing the iterations and therefore the creative freedom and expression for the artists. ILM has since reworked their water systems multiple times, now being more powerful and accurate than ever, utilizing more powerful hardware and more accurate and efficient simulation algorithms. Today, water simulation is something that can be done a lot easier than before, even being able to do it in real-time with tools such as Unreal Engine and LiquiGen. Houdini is currently the most powerful tool for simulating water or any FX at very high fidelities. Check out some FX flipbooks from ILMs VFX breakdown showing their water work below:
0:46

Water simulation has always been the holy grail of FX, requiring an incredible amount of computation to get right. For Battleship (2012), ILM had to reinvent their water systems to allow them to be able to deliver the show with it's plethora of shots in water. The alien ships are hundreds of feet long and therefore displace massive amounts of water. This, coupled with them making aggressive movements meant that hundreds of millions of droplets of water had to be simulated per shot to get a believable look of water interaction. Before their new water systems, artists were only able to get "1-2 simulations done per day", but with the new system they were able to "do many simulations per day", increasing the iterations and therefore the creative freedom and expression for the artists. ILM has since reworked their water systems multiple times, now being more powerful and accurate than ever, utilizing more powerful hardware and more accurate and efficient simulation algorithms. Today, water simulation is something that can be done a lot easier than before, even being able to do it in real-time with tools such as Unreal Engine and LiquiGen. Houdini is currently the most powerful tool for simulating water or any FX at very high fidelities. Check out some FX flipbooks from ILMs VFX breakdown showing their water work below:

Rassoul Edji

86,772 次观看 • 1 年前

It has finally happened - my first video guide on how to create electromagnetic openEMS simulations with Blender 🔶 is now available! This video guide will show you to first create geometries and specify ports in #blender3d , export them to openEMS, write a few python scripts, and then using geometry nodes to visualise and animate the results back in Blender. The video is based on the Rotman lens animation I did previously as the workflow for it covers a wide range of topics. I hope you find this video informative. Everything is done using open-source tools including #inkscape, #paraview and Octave! #b3d #electronics #hardware #science #educational #physics #engineering #geometrynodes hackaday #openEMS #electromagnetics #tutorial #mathematics #antenna #rf #kicad #altium
0:59

It has finally happened - my first video guide on how to create electromagnetic openEMS simulations with Blender 🔶 is now available! This video guide will show you to first create geometries and specify ports in #blender3d , export them to openEMS, write a few python scripts, and then using geometry nodes to visualise and animate the results back in Blender. The video is based on the Rotman lens animation I did previously as the workflow for it covers a wide range of topics. I hope you find this video informative. Everything is done using open-source tools including #inkscape, #paraview and Octave! #b3d #electronics #hardware #science #educational #physics #engineering #geometrynodes hackaday #openEMS #electromagnetics #tutorial #mathematics #antenna #rf #kicad #altium

Sam M

24,273 次观看 • 2 年前

Introducing Petri Dish Neural Cellular Automata (PD-NCA) 🦠 The search for open-ended complexification, a north star of Artificial Life (ALife) simulations, is a question that fascinates us deeply. In this work we explore the role of continual adaptation in ALife simulation, where the cellular automata in our system do not rely on a fixed set of parameters, but rather learn continuously during the simulation itself. Our Petri Dish Neural Cellular Automata (PD-NCA) is a new ALife substrate that consists of a differentiable world where multiple NCA learn to self-replicate and grow via ongoing gradient descent. Every individual is constantly trying to grow, all the while learning to adapt and out-compete its neighbors. PD-NCA allows for complex, emergent behaviors like cyclic dynamics, territorial defense, and spontaneous cooperation. The video below shows the sheer variety and complexity that unfolds during several different simulations (each colour is a different NCA).
2:18

Introducing Petri Dish Neural Cellular Automata (PD-NCA) 🦠 The search for open-ended complexification, a north star of Artificial Life (ALife) simulations, is a question that fascinates us deeply. In this work we explore the role of continual adaptation in ALife simulation, where the cellular automata in our system do not rely on a fixed set of parameters, but rather learn continuously during the simulation itself. Our Petri Dish Neural Cellular Automata (PD-NCA) is a new ALife substrate that consists of a differentiable world where multiple NCA learn to self-replicate and grow via ongoing gradient descent. Every individual is constantly trying to grow, all the while learning to adapt and out-compete its neighbors. PD-NCA allows for complex, emergent behaviors like cyclic dynamics, territorial defense, and spontaneous cooperation. The video below shows the sheer variety and complexity that unfolds during several different simulations (each colour is a different NCA).

Sakana AI

105,834 次观看 • 11 个月前

🚨 ELON MUSK: “The strongest argument for us probably being in a simulation is this. 40 years ago we had Pong. Two rectangles and a dot. That was what games were. Now, 40 years later, we have photorealistic 3D simulations with millions of people playing simultaneously, and it’s getting better every year. If you assume any rate of improvement at all, then the games will become indistinguishable from reality. So given that we’re clearly on a trajectory to have games that are indistinguishable from reality, and there would probably be billions of such computers, it would seem to follow that the odds that we’re in base reality is one in billions.”
1:24

🚨 ELON MUSK: “The strongest argument for us probably being in a simulation is this. 40 years ago we had Pong. Two rectangles and a dot. That was what games were. Now, 40 years later, we have photorealistic 3D simulations with millions of people playing simultaneously, and it’s getting better every year. If you assume any rate of improvement at all, then the games will become indistinguishable from reality. So given that we’re clearly on a trajectory to have games that are indistinguishable from reality, and there would probably be billions of such computers, it would seem to follow that the odds that we’re in base reality is one in billions.”

As Found

144,969 次观看 • 1 个月前

🚨 BOOM! PRESIDENT TRUMP: "Yesterday, 19 million barrels of oil flowed out of the Strait of Hormuz, a very beautiful place. That's the most oil in the HISTORY of the Strait!" "It's called an oil gusher, and most importantly, we are ensuring one thing very importantly, because this is why I did it, I did it for this reason, 99% for this, Iran will never have a nuclear weapon, and they've agreed to that." 🔥
0:33

🚨 BOOM! PRESIDENT TRUMP: "Yesterday, 19 million barrels of oil flowed out of the Strait of Hormuz, a very beautiful place. That's the most oil in the HISTORY of the Strait!" "It's called an oil gusher, and most importantly, we are ensuring one thing very importantly, because this is why I did it, I did it for this reason, 99% for this, Iran will never have a nuclear weapon, and they've agreed to that." 🔥

Eric Daugherty

36,294 次观看 • 3 个月前

Musk says the simulation hypothesis is almost certainly TRUE since 2016. And this is also why he renamed Twitter to X. This is hella interesting, watch this clip and lemme explain... Elon founded xAI on the mission of understanding the universe. The thesis traces back to a Darwinian thought experiment. "Like in this version of reality, in this layer of reality, if a simulation is going in a boring direction, we stop spending effort on it." Boring simulations got cancelled. Interesting ones got renewed. Then, he said, the corollary appeared. "They particularly seem to like interesting outcomes that are ironic." The simulation, in Musk's frame, didn't just keep stories alive — it actively preferred the ones that flipped on themselves, the ones where the noun and the truth ran in opposite directions. He pointed at the names of AI companies and read them off one by one. - OpenAI is closed. - Midjourney is not mid. - Stability AI is unstable. - Anthropic is misanthropic. Four labs. Four nouns. Four ironic reversals. Each picked a name with a clean flip available. The simulation took every one. Musk, who had named X for that exact reason, dodged the trick. "It's a name that you can't invert, really. It's hard to say, what is the ironic version?" He called it an irony shield. No opposite. No mirror. No clean flip. Musk, on the bet underneath the joke: "It's, I think, a largely irony-proof name. By design." Watch the video to hear Elon explains it: If you're new here, GeniusThinking is a gallery for the greatest minds in economics, psychology, and history. Follow along for more similar content. — Elon Musk ( Elon Musk ), CEO of Tesla and SpaceX, on Dwarkesh Patel's ( Dwarkesh Patel ) podcast
2:18

Musk says the simulation hypothesis is almost certainly TRUE since 2016. And this is also why he renamed Twitter to X. This is hella interesting, watch this clip and lemme explain... Elon founded xAI on the mission of understanding the universe. The thesis traces back to a Darwinian thought experiment. "Like in this version of reality, in this layer of reality, if a simulation is going in a boring direction, we stop spending effort on it." Boring simulations got cancelled. Interesting ones got renewed. Then, he said, the corollary appeared. "They particularly seem to like interesting outcomes that are ironic." The simulation, in Musk's frame, didn't just keep stories alive — it actively preferred the ones that flipped on themselves, the ones where the noun and the truth ran in opposite directions. He pointed at the names of AI companies and read them off one by one. - OpenAI is closed. - Midjourney is not mid. - Stability AI is unstable. - Anthropic is misanthropic. Four labs. Four nouns. Four ironic reversals. Each picked a name with a clean flip available. The simulation took every one. Musk, who had named X for that exact reason, dodged the trick. "It's a name that you can't invert, really. It's hard to say, what is the ironic version?" He called it an irony shield. No opposite. No mirror. No clean flip. Musk, on the bet underneath the joke: "It's, I think, a largely irony-proof name. By design." Watch the video to hear Elon explains it: If you're new here, GeniusThinking is a gallery for the greatest minds in economics, psychology, and history. Follow along for more similar content. — Elon Musk ( Elon Musk ), CEO of Tesla and SpaceX, on Dwarkesh Patel's ( Dwarkesh Patel ) podcast

GeniusThinking

34,019 次观看 • 5 个月前

NASA Administrator Jared Isaacman: SpaceX helped lead America’s shift to methane rocket fuel. "SpaceX was one of the first to move on from their current propellant structure, which is basically refined diesel and liquid oxygen, to liquid methane or liquid natural gas and liquid oxygen. But we know so very little about it and what we get concerned about very early on is what happens if something goes wrong during testing? And we assumed a lot of worst case scenarios. But other companies, so Blue Origin, for example, decided, this is the right path we should go on to. Now the problem is you have all these companies working on this new propellant system, and we had to take very conservative views, which would have actually shut down testing and launch operations at multiple centers across the United States. And this employee, Berkowitz, he came up with the analysis that determined, actually, it's a lot safer than we may think it is, and it's permitted us to conduct lots of simultaneous operations. It was a real enabling breakthrough work he did, and that's why he was honored."
0:55

NASA Administrator Jared Isaacman: SpaceX helped lead America’s shift to methane rocket fuel. "SpaceX was one of the first to move on from their current propellant structure, which is basically refined diesel and liquid oxygen, to liquid methane or liquid natural gas and liquid oxygen. But we know so very little about it and what we get concerned about very early on is what happens if something goes wrong during testing? And we assumed a lot of worst case scenarios. But other companies, so Blue Origin, for example, decided, this is the right path we should go on to. Now the problem is you have all these companies working on this new propellant system, and we had to take very conservative views, which would have actually shut down testing and launch operations at multiple centers across the United States. And this employee, Berkowitz, he came up with the analysis that determined, actually, it's a lot safer than we may think it is, and it's permitted us to conduct lots of simultaneous operations. It was a real enabling breakthrough work he did, and that's why he was honored."

DogeDesigner

497,050 次观看 • 2 个月前

Musk says the simulation hypothesis is almost certainly true since 2016. And this is also why he renamed Twitter to X... Elon founded xAI on the mission of understanding the universe. He renamed Twitter to X in 2023, picking the only letter without an opposite. The thesis traces back to a Darwinian thought experiment. "Like in this version of reality, in this layer of reality, if a simulation is going in a boring direction, we stop spending effort on it." Boring simulations got cancelled. Interesting ones got renewed. Then, he said, the corollary appeared. "They particularly seem to like interesting outcomes that are ironic." The simulation, in Musk's frame, didn't just keep stories alive — it actively preferred the ones that flipped on themselves, the ones where the noun and the truth ran in opposite directions. He pointed at the names of AI companies and read them off one by one. - OpenAI is closed. - Midjourney is not mid. - Stability AI is unstable. - Anthropic is misanthropic. Four labs. Four nouns. Four ironic reversals. Each picked a name with a clean flip available. The simulation took every one. Musk, who had named X for that exact reason, dodged the trick. "It's a name that you can't invert, really. It's hard to say, what is the ironic version?" He called it an irony shield. No opposite. No mirror. No clean flip. Musk, on the bet underneath the joke: "It's, I think, a largely irony-proof name. By design." P.S. I made a playbook breaking down 100+ most powerful decision making mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab a free copy here: If you're new here, follow GeniusThinking for content on the greatest minds in economics, psychology, and history. — Elon Musk ( Elon Musk ), CEO of Tesla and SpaceX, on Dwarkesh Patel's ( Dwarkesh Patel ) podcast
2:18

Musk says the simulation hypothesis is almost certainly true since 2016. And this is also why he renamed Twitter to X... Elon founded xAI on the mission of understanding the universe. He renamed Twitter to X in 2023, picking the only letter without an opposite. The thesis traces back to a Darwinian thought experiment. "Like in this version of reality, in this layer of reality, if a simulation is going in a boring direction, we stop spending effort on it." Boring simulations got cancelled. Interesting ones got renewed. Then, he said, the corollary appeared. "They particularly seem to like interesting outcomes that are ironic." The simulation, in Musk's frame, didn't just keep stories alive — it actively preferred the ones that flipped on themselves, the ones where the noun and the truth ran in opposite directions. He pointed at the names of AI companies and read them off one by one. - OpenAI is closed. - Midjourney is not mid. - Stability AI is unstable. - Anthropic is misanthropic. Four labs. Four nouns. Four ironic reversals. Each picked a name with a clean flip available. The simulation took every one. Musk, who had named X for that exact reason, dodged the trick. "It's a name that you can't invert, really. It's hard to say, what is the ironic version?" He called it an irony shield. No opposite. No mirror. No clean flip. Musk, on the bet underneath the joke: "It's, I think, a largely irony-proof name. By design." P.S. I made a playbook breaking down 100+ most powerful decision making mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab a free copy here: If you're new here, follow GeniusThinking for content on the greatest minds in economics, psychology, and history. — Elon Musk ( Elon Musk ), CEO of Tesla and SpaceX, on Dwarkesh Patel's ( Dwarkesh Patel ) podcast

GeniusThinking

20,844 次观看 • 4 个月前

NASA Physicist Thomas Campbell explains the proof that we live in a Simulation 100% - “We Live in a Simulation – And I Can Prove It With Physics” “In a virtual reality, the highest speed you can go contiguously — not teleporting, but actually moving — is one pixel of distance for one pixel of time. That’s the Planck length over Planck time. That’s why nothing can go faster than light. Entanglement isn’t two separate particles magically talking to each other. It’s one system. Think of a two-by-four a million miles long. When you flip one end, the other end flips at the same instant because it’s the same thing. This reality only renders what’s being observed. That’s why the double-slit experiment works the way it does — until something interacts with it, it stays as probability.”
6:20

NASA Physicist Thomas Campbell explains the proof that we live in a Simulation 100% - “We Live in a Simulation – And I Can Prove It With Physics” “In a virtual reality, the highest speed you can go contiguously — not teleporting, but actually moving — is one pixel of distance for one pixel of time. That’s the Planck length over Planck time. That’s why nothing can go faster than light. Entanglement isn’t two separate particles magically talking to each other. It’s one system. Think of a two-by-four a million miles long. When you flip one end, the other end flips at the same instant because it’s the same thing. This reality only renders what’s being observed. That’s why the double-slit experiment works the way it does — until something interacts with it, it stays as probability.”

Defiant Ghost

367,148 次观看 • 3 个月前

D-Wave announced a scientific breakthrough published in the esteemed journal Science Magazine, confirming that its annealing quantum computer outperformed one of the world’s most powerful classical supercomputers in solving a complex magnetic materials simulation problem with relevance to materials discovery. The new landmark peer-reviewed paper, “Beyond-Classical Computation in Quantum Simulation,” validates this achievement as the world’s first and only demonstration of quantum computational supremacy on a useful problem. An international collaboration of scientists led by D-Wave performed simulations of quantum dynamics in programmable spin glasses—a computationally hard magnetic materials simulation problem with known applications to business and science—on both D-Wave’s Advantage2™ prototype annealing quantum computer and the Frontier supercomputer at the Department of Energy’s Oak Ridge Lab. D-Wave’s quantum computer performed a complex simulation in minutes and with a level of accuracy that would take nearly a million years using the supercomputer. In addition, it would require more than the world’s annual electricity consumption to solve this problem using the supercomputer, which is built with graphics processing unit (GPU) clusters. For decades, scientists have aspired to build a quantum computer capable of solving complex materials simulation problems beyond the reach of classical computers. D-Wave's advancements in quantum hardware have made it possible for its annealing quantum computers to process these types of problems for the first time. Magnetic materials simulations, like those conducted in this work, use computer models to study how tiny particles not visible to the human eye react to external factors. Magnetic materials are widely used in medical imaging, electronics, superconductors, electrical networks, sensors, and motors. This is an incredibly important achievement. Please join us in congratulating the D-Wave team and our global collaborators on this remarkable milestone. It’s a significant moment for the quantum computing industry. Learn more about this monumental achievement: Read the press release here: #QuantumSupremacy #QuantumRealized #QuantumComputing #DWave #Technology #Innovation #Optimization #MaterialsDiscovery #ScientificBreakthrough $QBTS
3:26

D-Wave announced a scientific breakthrough published in the esteemed journal Science Magazine, confirming that its annealing quantum computer outperformed one of the world’s most powerful classical supercomputers in solving a complex magnetic materials simulation problem with relevance to materials discovery. The new landmark peer-reviewed paper, “Beyond-Classical Computation in Quantum Simulation,” validates this achievement as the world’s first and only demonstration of quantum computational supremacy on a useful problem. An international collaboration of scientists led by D-Wave performed simulations of quantum dynamics in programmable spin glasses—a computationally hard magnetic materials simulation problem with known applications to business and science—on both D-Wave’s Advantage2™ prototype annealing quantum computer and the Frontier supercomputer at the Department of Energy’s Oak Ridge Lab. D-Wave’s quantum computer performed a complex simulation in minutes and with a level of accuracy that would take nearly a million years using the supercomputer. In addition, it would require more than the world’s annual electricity consumption to solve this problem using the supercomputer, which is built with graphics processing unit (GPU) clusters. For decades, scientists have aspired to build a quantum computer capable of solving complex materials simulation problems beyond the reach of classical computers. D-Wave's advancements in quantum hardware have made it possible for its annealing quantum computers to process these types of problems for the first time. Magnetic materials simulations, like those conducted in this work, use computer models to study how tiny particles not visible to the human eye react to external factors. Magnetic materials are widely used in medical imaging, electronics, superconductors, electrical networks, sensors, and motors. This is an incredibly important achievement. Please join us in congratulating the D-Wave team and our global collaborators on this remarkable milestone. It’s a significant moment for the quantum computing industry. Learn more about this monumental achievement: Read the press release here: #QuantumSupremacy #QuantumRealized #QuantumComputing #DWave #Technology #Innovation #Optimization #MaterialsDiscovery #ScientificBreakthrough $QBTS

D-Wave

65,118 次观看 • 1 年前

Verdisol is doing it big and changing the narrative that pple site leave pple with dry holes We are here to give you the best of the best 🔥🔥🔥🔥🔥🔥 Another one for the VerdiSol record.🔥🔥🔥🔥 Verdisol is doing it big Our latest water survey in Southway Manors successfully guided the drilling team to a point where water was struck at just 25 metres. No random drilling. No “let’s just try here.” Data. Analysis. Ground verification. Then drilling. This is what happens when you understand the land before you put a rig on it. Another site. Another successful borehole. Another VerdiSol result. Water struck: 25m Southway Manors, Harare
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Verdisol is doing it big and changing the narrative that pple site leave pple with dry holes We are here to give you the best of the best 🔥🔥🔥🔥🔥🔥 Another one for the VerdiSol record.🔥🔥🔥🔥 Verdisol is doing it big Our latest water survey in Southway Manors successfully guided the drilling team to a point where water was struck at just 25 metres. No random drilling. No “let’s just try here.” Data. Analysis. Ground verification. Then drilling. This is what happens when you understand the land before you put a rig on it. Another site. Another successful borehole. Another VerdiSol result. Water struck: 25m Southway Manors, Harare

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15,225 次观看 • 27 天前