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Microsoft Topological Qubit
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Microsoft Topological Qubit
Topological Qubit
Microsoft's
Quantum Computer
How Does a
Topological Qubit Work
Microchip Technology
Documentary of Quantum Computing
Quantum Computer
Microsoft
New State of Matter
Qubit
Chip
Microsoft's
Quantum Chip
Majorana 1 Računalo
Qubits
Processor
Msft Quantum
Majorana Particle
Microsoft
Quantum
Majorana 1 Chip
Microsoft
Tan Quantum Computing
Majorana 1 Processor
Quantum Computing
Majorana 1
Microsoft
Quantum Computing Chip
Majorana
Quantum Chip
Quantum Computing Chips
Quantum Processor
Microsoft
Quantum Computing
Majorana Chip
Topo Conductor
1:35
Meet the Majorana 2, a next-generation topological quantum chip developed with the help of Microsoft Discovery’s agentic AI.
62.5K views
2 weeks ago
x.com
Microsoft Developer
1:37
Announced today at #MSBuild: Microsoft unveiled Majorana 2, a next-generation topological quantum chip developed with the help of Microsoft Discovery’s agentic AI. https://t.co/esVcmeWdgh
191.1K views
4 weeks ago
x.com
Microsoft
0:10
🚨QUANTUM NEWS🚨: Microsoft’s Majorana 2 Chip Achieves 1,000× Longer Qubit Lifetime — Uniphics Explains Why Topological Protection Works 🧨On June 3–4, 2026, Microsoft announced a major advance with its Majorana 2 topological quantum chip. According to their preprint and coverage in *Nature* and *Scientific American*, the new qubits can maintain quantum information for over 20 seconds — roughly 1,000 times longer than their previous generation. The company claims this represents significant prog
383 views
3 weeks ago
x.com
Paul Maley
1:37
Microsoft unveiled Majorana 2, a next-generation topological quantum chip developed with help from Microsoft Discovery’s agentic AI.The announcement connects Microsoft’s quantum computing roadmap with its broader push into AI-assisted scientific discovery.
1.3K views
3 weeks ago
x.com
Wes Roth
1:34
$MSFT Microsoft unveiled Majorana 2, its next-generation quantum chip ⚛️Qubits are now 1,000x more reliable, with stability improving from milliseconds to 20+ seconds.Microsoft believes this could bring practical quantum computing much closer.
13.2K views
4 weeks ago
x.com
The Future Investors
0:40
Microsoft debuts new quantum computing chip: Majorana 2
3 weeks ago
MSN
CNET
0:11
🤖 Top 7 AI Trends Transforming 2026 | What You NEED to Know
3 weeks ago
YouTube
Youlover
0:10
🚨QUANTUM🚨: Quantum computers just got a lot easier to keep cool — by switching from superconducting chips to beams of light 🧨Photonic quantum computing is making major progress toward practical scalability. Companies like PsiQuantum and Xanadu are advancing systems that use light-based qubits, which can operate without the extreme cryogenic cooling required by superconducting approaches and are easier to integrate into larger architectures. Source: Updates from PsiQuantum and Xanadu (widely r
1.2K views
4 weeks ago
x.com
Paul Maley
0:10
🚨 THE FUTURE OF QUANTUM COMPUTING MAY LOOK MORE LIKE THE INTERNET THAN A SINGLE SUPERCOMPUTER.Nu Quantum has published work demonstrating that quantum error correction can be spread across multiple networked quantum processors in a way that makes the overall system far more resilient.In their simulations, logical quantum information is encoded across the entire network rather than on a single machine.This means that even if one entire quantum processor fails completely, the computation can cont
575 views
2 weeks ago
x.com
TheNewPhysics
10:53
Quantum felt far away.People talked about 2030… 2035…$IBM and $IONQ sounded like science fiction with a distant due date.Then something moved the clock forward.And one tiny $130M company sits right in the middle of it: $AMPG.A bottleneck.1/ A paper from Caltech and the startup Oratomic just showed that breaking the encryption protecting Bitcoin and Ethereum could take as few as ~10,000 qubits, not the hundreds of thousands or millions everyone assumed.In two decades, that number has fallen FIVE
24.5K views
3 weeks ago
x.com
ChinoAleman
0:37
$IONQ talks less about error correction than its competitors because it uses naturally perfect atoms as qubits.This translates into the highest fidelity in the industry and requires fewer physical qubits per logical qubit.This is why $IONQ can focus on scaling.Scaling up is more challenging for superconducting qubits because they’ll inevitably have structural defects and you need to use dilution refrigerators and a mixture of helium-3 / helium-4 isotopes.$IONQ entirely bypasses this challenge.It
7.8K views
4 weeks ago
x.com
Investor Denis
1:22
People often talk about quantum computing like it's some kind of magic.But when you break it down, it's really just math.Today's computers use bits, and each bit can only be a 0 or a 1.Quantum computers use qubits.Instead of being only 0 or 1, a qubit can exist in a range of probabilities between the two. This gives quantum computers a completely different way of processing information.That's why they're so powerful, and why people are concerned about their impact on cryptography.Many of the sys
6.8K views
1 week ago
x.com
likith.k_
0:10
🚨 QUANTUM COMPUTING JUST HIT A MAJOR MILESTONE: 98 QUBITS THAT CAN ALL TALK TO EACH OTHER DIRECTLY.Quantinuum has unveiled Helios, a 98-qubit trapped-ion quantum computer that maintains all-to-all connectivity meaning any qubit can directly interact with any other qubit in the system.This is a notable scaling achievement. While other platforms have reached similar or higher qubit counts, trapped ions have historically delivered the highest gate fidelities. Keeping that performance while scaling
1.5K views
1 week ago
x.com
TheNewPhysics
11:51
MicroLED Interconnects: Parallel Optics for AI Scale-Up Infrastructure.MicroLED optical interconnects are best understood as an emerging “slow-and-wide” physical-layer alternative for AI scale-up connectivity, not as a generalized replacement for data-center optics. The technology attempts to break the current trade-off between copper’s low power and high reliability at very short reach, and laser optics’ longer reach but higher power, cost, and lower reliability. The core architecture replaces
3.4K views
3 weeks ago
x.com
TheValueist
0:10
🚨 SCIENTISTS JUST CONNECTED AI TO A QUANTUM COMPUTER.And the result was unexpected.Researchers added only 6,000 quantum parameters to a large language model and reduced its prediction error by 1.4% by offloading part of the computation to quantum circuits.Why this matters:• Traditional AI keeps getting bigger and more expensive• Quantum processors operate using entirely different physics• Even small performance gains can scale dramatically across massive AI systems• This could be an early glimp
21.2K views
3 weeks ago
x.com
TheNewPhysics
0:10
🚨 A FRENCH STARTUP THINKS IT MAY HAVE FOUND A NEW PATH TO QUANTUM COMPUTING.Not with superconductors.Not with trapped ions.With carbon nanotubes.Researchers at C12 have unveiled a manufacturing breakthrough that could solve one of quantum computing's biggest problems: building large numbers of reliable qubits.Why this matters:• Quantum computers are extremely sensitive to noise • Tiny defects can destroy quantum information • Most platforms struggle to scale beyond small systems • Carbon nanotu
2.1K views
3 weeks ago
x.com
TheNewPhysics
0:10
🚨 QUANTUM COMPUTING MAY BE APPROACHING ITS TRANSISTOR MOMENT.While superconducting qubits and trapped ions have dominated headlines, neutral atom systems are quietly making some of the strongest progress toward scalable, useful quantum computers.In these systems, individual atoms are trapped and arranged using laser beams (optical tweezers). Quantum information is stored in the atomic states, and two-qubit gates are performed by exciting atoms into highly interactive Rydberg states. This approa
417 views
2 weeks ago
x.com
TheNewPhysics
0:10
🚨 RESEARCHERS HAVE DEMONSTRATED DIRECT TRAINING OF A QUANTUM NEURAL NETWORK ON REAL QUANTUM HARDWARE.A team from IonQ, Université Paris Cité, QC Ware, and others has developed a new training framework that makes gradient-based optimization of quantum neural networks significantly more efficient.The approach uses three key innovations: a specialized “Butterfly” circuit architecture, layer-wise training, and a parallelized gradient estimation method. Together, these reduce the number of quantum c
1.2K views
2 weeks ago
x.com
TheNewPhysics
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