Загрузка видео...

Не удалось загрузить видео

На главную

Happy #WorldQuantumDay! Quantum computing started with a theory—now, it’s becoming a reality, and we’re working toward real world applications beyond the reach of classical computing. See how far we've come and where we're headed next.

GoogleQuantumAI's profile picture

Google Quantum AI

60,861 subscribers

28,268 просмотров • 1 год назад •via X (Twitter)

Здоровье и велнесНаука и технологииОбразование#WorldQuantumDay
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 11

Фото профиля DataInsta
DataInsta1 год назад

@GoogleAI from theory to practice, quantum computing’s journey is truly fascinating!

Фото профиля FRANK E ELKINS
FRANK E ELKINS2 лет назад

“Unlock the secrets of reality! Discover how mathematics reveals the hidden world of complete rational abstraction –Discover how Pythagoras’ 'Music of the Spheres' evolves into the current scientific theory known as String Theory.” (Book IV The Cosmic Symphony)

Фото профиля D.C. ADAMS
D.C. ADAMS1 год назад

Happy Quantum Day!!

Фото профиля Animal Fort Studios
Animal Fort Studios1 год назад

LETS GOOO! 🥳

Фото профиля Fabio Lauria
Fabio Lauria1 год назад

@GoogleAI The journey from theory to practical application in quantum computing is fascinating. These advancements can redefine problem-solving ways in countless fields. Excited for what lies ahead. #Innovation

Фото профиля Electe
Electe1 год назад

@GoogleAI @GoogleAI, quantum computing truly embodies how powerful theory can transform our world. Exciting times ahead. #Innovation

Фото профиля kħaos 🪐
kħaos 🪐1 год назад

Happy #WorldQuantumDay 👽

Фото профиля Babbili👨🏻‍💻🪐🎶
Babbili👨🏻‍💻🪐🎶1 год назад

this kinda background music 😵‍💫😵‍💫

Фото профиля The Quantum Cat 🧶
The Quantum Cat 🧶1 год назад

Google will lead the way!

Фото профиля Tom Bennet
Tom Bennet1 год назад

Quantum computing: The next big thing or just another hype cycle? 🤔 Either way, I'm betting on the folks who can explain it over lunch without losing their audience. 🍽️💡

Фото профиля StartupDomains
StartupDomains1 год назад

For those diving deep into the next frontier, check out to stay ahead. The future is unfolding fast! 🚀

Похожие видео

AI changed the game. Quantum could change the rules. John Roese sits down with Andrew Dzurak of Diraq to explore the rise of hybrid quantum-classical computing, where quantum solves problems beyond the reach of classical systems. From molecular simulation to large-scale optimization, here's what tech leaders need to know. Watch now:
0:37

AI changed the game. Quantum could change the rules. John Roese sits down with Andrew Dzurak of Diraq to explore the rise of hybrid quantum-classical computing, where quantum solves problems beyond the reach of classical systems. From molecular simulation to large-scale optimization, here's what tech leaders need to know. Watch now:

Dell Technologies

23,734 просмотров • 1 месяц назад

Our team ran a verifiable quantum algorithm that probes how parts of a quantum system interact, from molecules to magnets and beyond. On our Willow chip, it ran 13,000× faster than the best classical supercomputers. A first in quantum computing →
1:13

Our team ran a verifiable quantum algorithm that probes how parts of a quantum system interact, from molecules to magnets and beyond. On our Willow chip, it ran 13,000× faster than the best classical supercomputers. A first in quantum computing →

Google Quantum AI

65,326 просмотров • 4 месяцев назад

A step forward in quantum computing with #AWS. 🚀 Meet Ocelot, our first quantum computing chip tackling one of the field's biggest hurdles; error correction. With up to 90% lower correction overhead, we're bringing quantum systems closer to reality. 🔗
0:23

A step forward in quantum computing with #AWS. 🚀 Meet Ocelot, our first quantum computing chip tackling one of the field's biggest hurdles; error correction. With up to 90% lower correction overhead, we're bringing quantum systems closer to reality. 🔗

Amazon Web Services

100,780 просмотров • 1 год назад

Where does the “power” of quantum computing come from? Our COO, Charina Chou, breaks down quantum entanglement and why it’s key to unlocking the potential of quantum systems. Watch more →
1:17

Where does the “power” of quantum computing come from? Our COO, Charina Chou, breaks down quantum entanglement and why it’s key to unlocking the potential of quantum systems. Watch more →

Google Quantum AI

22,521 просмотров • 1 год назад

Our CEO Niccolo de Masi at the Reagan National Economic Forum on the impact of quantum technology across industries; where it dovetails with classical computing, GPUs and AI; how a century of the computing revolution has been leading to this point; and what it means for the world. #IonQ #QuantumIsNow #RNEF Ronald Reagan Institute (RRI) Ronald Reagan Presidential Foundation & Institute
0:49

Our CEO Niccolo de Masi at the Reagan National Economic Forum on the impact of quantum technology across industries; where it dovetails with classical computing, GPUs and AI; how a century of the computing revolution has been leading to this point; and what it means for the world. #IonQ #QuantumIsNow #RNEF Ronald Reagan Institute (RRI) Ronald Reagan Presidential Foundation & Institute

IonQ

29,195 просмотров • 3 месяцев назад

It’s #WorldQuantumDay—a celebration of the global community advancing quantum science. At Microsoft, we’re working across disciplines to turn possibility into progress. Here’s how collaboration fuels our quantum journey.
0:44

It’s #WorldQuantumDay—a celebration of the global community advancing quantum science. At Microsoft, we’re working across disciplines to turn possibility into progress. Here’s how collaboration fuels our quantum journey.

Azure Quantum

13,750 просмотров • 1 год назад

CPUs and GPUs power the world today—but a new kind of computing is emerging. Enter quantum computing. BlackRock’s Tony Kim explains what QPUs are, how they complement today’s systems, and why quantum could transform what’s possible across science, technology, and investing.
1:03

CPUs and GPUs power the world today—but a new kind of computing is emerging. Enter quantum computing. BlackRock’s Tony Kim explains what QPUs are, how they complement today’s systems, and why quantum could transform what’s possible across science, technology, and investing.

BlackRock

56,893 просмотров • 5 месяцев назад

The next generation of models won't just generate images - they'll understand worlds, motion, interaction, and action. We've been building toward this for a while. Visual intelligence is becoming real-time. Stephen spoke about where we're headed at AI Engineer:
2:12

The next generation of models won't just generate images - they'll understand worlds, motion, interaction, and action. We've been building toward this for a while. Visual intelligence is becoming real-time. Stephen spoke about where we're headed at AI Engineer:

Black Forest Labs

33,180 просмотров • 4 месяцев назад

The Dynex Quantum Diffusion LLM (qdLLM) uses quantum computing principles to generate responses with higher complexity and creativity than classical models. Have a try at our booth at @web3amsterdam
0:35

The Dynex Quantum Diffusion LLM (qdLLM) uses quantum computing principles to generate responses with higher complexity and creativity than classical models. Have a try at our booth at @web3amsterdam

Dynex

11,145 просмотров • 1 год назад

Computing has evolved steadily over the last several decades, but quantum represents a bigger shift in how we process information and understand complex systems. At IonQ, we’re proud to continue pushing the boundaries of what’s possible with quantum.
0:34

Computing has evolved steadily over the last several decades, but quantum represents a bigger shift in how we process information and understand complex systems. At IonQ, we’re proud to continue pushing the boundaries of what’s possible with quantum.

IonQ

38,811 просмотров • 10 месяцев назад

Masako Yamada, our Senior Director, Quantum Applications, presents on the quantum edge in enterprise AI: how to unlock real-world outcomes with hybrid QML fine-tuning and beyond.
8:23

Masako Yamada, our Senior Director, Quantum Applications, presents on the quantum edge in enterprise AI: how to unlock real-world outcomes with hybrid QML fine-tuning and beyond.

IonQ

10,907 просмотров • 4 месяцев назад

Invariant Becoming Theory (IBT) We step beyond the edge of the standard map—where linear approximations reach their limit—and explore a working mathematical model that treats reality as a single nonlinear process of becoming. No lectures, no final answers. Just a calm expedition through simulations of the monadic field Ψ, topological invariants, and stable patterns that emerge from them. What questions does this framework allow us to ask differently in nonlinear quantum systems, quantum gravity approaches, and self-organization? #InvariantBecomingTheory #IBT #TheoreticalPhysics #NonlinearDynamics #QuantumFoundations
6:33

Invariant Becoming Theory (IBT) We step beyond the edge of the standard map—where linear approximations reach their limit—and explore a working mathematical model that treats reality as a single nonlinear process of becoming. No lectures, no final answers. Just a calm expedition through simulations of the monadic field Ψ, topological invariants, and stable patterns that emerge from them. What questions does this framework allow us to ask differently in nonlinear quantum systems, quantum gravity approaches, and self-organization? #InvariantBecomingTheory #IBT #TheoreticalPhysics #NonlinearDynamics #QuantumFoundations

Vadim N. Cherashev

33,988 просмотров • 8 месяцев назад

EIF Insights Part 1: Power is everything. It’s reshaping the grid. Capital is everything. It’s reshaping infrastructure. Flexibility is everything. It’s reshaping computing. And distributed computing is the future. We’re moving toward clusters of computing infrastructure—built where power is abundant, scalable, and increasingly renewable. Instead of moving electrons long distances to compute, we can move compute closer to the electrons. The convergence is accelerating. Power isn’t just power anymore. Compute isn’t just compute anymore. The two are rapidly becoming one interconnected infrastructure layer. That convergence will create new technologies, new business models, and entirely new investment opportunities at the intersection of power and computing. $SLNH Soluna
0:30

EIF Insights Part 1: Power is everything. It’s reshaping the grid. Capital is everything. It’s reshaping infrastructure. Flexibility is everything. It’s reshaping computing. And distributed computing is the future. We’re moving toward clusters of computing infrastructure—built where power is abundant, scalable, and increasingly renewable. Instead of moving electrons long distances to compute, we can move compute closer to the electrons. The convergence is accelerating. Power isn’t just power anymore. Compute isn’t just compute anymore. The two are rapidly becoming one interconnected infrastructure layer. That convergence will create new technologies, new business models, and entirely new investment opportunities at the intersection of power and computing. $SLNH Soluna

John Belizaire

20,797 просмотров • 1 месяц назад

$IONQ "The world still massively underestimates just how disruptive it's going to be." Chris Ballance IonQ President of Quantum Computing laid out the whole picture with Kearney's Brent Smolinski. Start to finish: What it is → Quantum computers run on quantum physics, not classical logic - for Ballance, the most powerful form of computing the laws of physics allow. They solve in minutes what a classical machine couldn't crack in the lifetime of the universe. Where we are → "The end of the beginning." Real systems exist, you can buy one from IonQ today, and the field is speed-running the computing revolution. The race now: who scales the best platform the fastest. The value comes in three eras → - Early: problems classical can't touch - chemistry & drug discovery (with AstraZeneca), crash-analysis simulation (with Ansys). - Middle: familiar work, but faster, better or far less energy - AI fine-tuning, most likely hybrid: a GPU farm and a quantum computer side by side, more than the sum of their parts. - Late: unknown. The killer applications are never the ones you expect. Quantum advantage → Not a benchmark stunt - a better solution per dollar invested in quantum than classical. Hard to spot, but already real for certain early problems. The economics → His sharpest line: compute is now just a markup on electricity. With a fixed budget, the question is classical or quantum - and some of the first quantum wins won't be faster, just orders of magnitude cheaper. The architectures → Superconducting (IBM, Google): first-mover lead and standard chip fabs - but chips chilled to a thousandth of a degree above absolute zero, huge energy-hungry refrigeration, and a quantum chip "three orders of magnitude harder" than Intel's toughest. It loses coherence fast, too: many redundant qubits, far bigger machines. Trapped ions (IonQ): individual atoms - and an atom is "guaranteed perfect across the universe." No fab variation, far lower error rates, no exotic cooling. The atoms are run by an ordinary classical chip, so IonQ rides the trillion-dollar semiconductor industry instead of inventing a quantum chip. (Oxford Ionics' Electronic Qubit Control, SkyWater foundry) Why it's green → A future million-qubit machine is about a dozen racks drawing minuscule power - orders of magnitude less than a large AI data center. Classical can still gain 10–100×, but not the orders of magnitude quantum unlocks. His call: within ~10 years, some 100-megawatt NVIDIA clusters could sit vacant. Quick-fire → - Most over-hyped: changing biology. - Most underestimated risk: integrating into real customer workflows. - First to adopt: finance ) portfolio analysis & fraud prevention. - Most exciting: the speed of change over the next 24 months. The personal why → What gets him out of bed: reinventing how we think about computation and the belief that the world still underestimates how disruptive this will be. For leaders → Quantum computing is here now. Adopting any new tech takes 2-3 years, so the moment to start isn't next year it's now, so you're ready when the hardware lands. Full conversation below ↓ $IONQ #IonQ #Quantum
17:04

$IONQ "The world still massively underestimates just how disruptive it's going to be." Chris Ballance IonQ President of Quantum Computing laid out the whole picture with Kearney's Brent Smolinski. Start to finish: What it is → Quantum computers run on quantum physics, not classical logic - for Ballance, the most powerful form of computing the laws of physics allow. They solve in minutes what a classical machine couldn't crack in the lifetime of the universe. Where we are → "The end of the beginning." Real systems exist, you can buy one from IonQ today, and the field is speed-running the computing revolution. The race now: who scales the best platform the fastest. The value comes in three eras → - Early: problems classical can't touch - chemistry & drug discovery (with AstraZeneca), crash-analysis simulation (with Ansys). - Middle: familiar work, but faster, better or far less energy - AI fine-tuning, most likely hybrid: a GPU farm and a quantum computer side by side, more than the sum of their parts. - Late: unknown. The killer applications are never the ones you expect. Quantum advantage → Not a benchmark stunt - a better solution per dollar invested in quantum than classical. Hard to spot, but already real for certain early problems. The economics → His sharpest line: compute is now just a markup on electricity. With a fixed budget, the question is classical or quantum - and some of the first quantum wins won't be faster, just orders of magnitude cheaper. The architectures → Superconducting (IBM, Google): first-mover lead and standard chip fabs - but chips chilled to a thousandth of a degree above absolute zero, huge energy-hungry refrigeration, and a quantum chip "three orders of magnitude harder" than Intel's toughest. It loses coherence fast, too: many redundant qubits, far bigger machines. Trapped ions (IonQ): individual atoms - and an atom is "guaranteed perfect across the universe." No fab variation, far lower error rates, no exotic cooling. The atoms are run by an ordinary classical chip, so IonQ rides the trillion-dollar semiconductor industry instead of inventing a quantum chip. (Oxford Ionics' Electronic Qubit Control, SkyWater foundry) Why it's green → A future million-qubit machine is about a dozen racks drawing minuscule power - orders of magnitude less than a large AI data center. Classical can still gain 10–100×, but not the orders of magnitude quantum unlocks. His call: within ~10 years, some 100-megawatt NVIDIA clusters could sit vacant. Quick-fire → - Most over-hyped: changing biology. - Most underestimated risk: integrating into real customer workflows. - First to adopt: finance ) portfolio analysis & fraud prevention. - Most exciting: the speed of change over the next 24 months. The personal why → What gets him out of bed: reinventing how we think about computation and the belief that the world still underestimates how disruptive this will be. For leaders → Quantum computing is here now. Adopting any new tech takes 2-3 years, so the moment to start isn't next year it's now, so you're ready when the hardware lands. Full conversation below ↓ $IONQ #IonQ #Quantum

TechInnovation

26,136 просмотров • 2 месяцев назад

I sat down with NVIDIA Sam Stanwyck (Sam Stanwyck) at ISC to talk about one of the most misunderstood areas in computing: quantum. We discussed why NVIDIA is not building a quantum computer, but instead the infrastructure around it: GPUs, AI, CUDA-Q, quantum simulation, control systems, error correction, and the path toward hybrid CPU/GPU/QPU supercomputing. The key takeaway: Quantum will likely not arrive as a standalone magic machine. It will arrive as part of a much larger accelerated computing stack, combining classical supercomputers, AI, GPUs, and quantum processors to tackle problems in chemistry, materials science, energy, optimization, and fundamental science. Full episode with Sam Stanwyck is now live.
19:36

I sat down with NVIDIA Sam Stanwyck (Sam Stanwyck) at ISC to talk about one of the most misunderstood areas in computing: quantum. We discussed why NVIDIA is not building a quantum computer, but instead the infrastructure around it: GPUs, AI, CUDA-Q, quantum simulation, control systems, error correction, and the path toward hybrid CPU/GPU/QPU supercomputing. The key takeaway: Quantum will likely not arrive as a standalone magic machine. It will arrive as part of a much larger accelerated computing stack, combining classical supercomputers, AI, GPUs, and quantum processors to tackle problems in chemistry, materials science, energy, optimization, and fundamental science. Full episode with Sam Stanwyck is now live.

Chubby♨️

22,673 просмотров • 2 месяцев назад

Welcome to the world of Chainback, a platform where blockchain meets cloud computing! Let's dive into how we're transforming the digital landscape. 🚀 #ARCHIVE 👇🧵
0:33

Welcome to the world of Chainback, a platform where blockchain meets cloud computing! Let's dive into how we're transforming the digital landscape. 🚀 #ARCHIVE 👇🧵

Chainback

35,600 просмотров • 2 лет назад