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Category: quantum physics – Page 76

NVIDIA Announces Spectrum-X Photonics, Co-Packaged Optics Networking Switches to Scale AI Factories to Millions of GPUs

SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) — GTC — NVIDIA today unveiled NVIDIA Spectrum-X™ and NVIDIA Quantum-X silicon photonics networking switches, which enable AI factories to connect millions of GPUs across sites while drastically reducing energy consumption and operational costs. NVIDIA has achieved the fusion of electronic circuits and optical communications at massive scale.

As AI factories grow to unprecedented sizes, networks must evolve to keep pace. NVIDIA photonics switches are the world’s most advanced networking solution. They integrate optics innovations with 4x fewer lasers to deliver 3.5x more power efficiency, 63x greater signal integrity, 10x better network resiliency at scale and 1.3x faster deployment compared with traditional methods.

D-Wave demonstrates quantum supremacy in practical applications

D-Wave Quantum Inc. announced a scientific advance confirming its annealing quantum computer outperformed a powerful classical supercomputer in simulating complex magnetic materials. This achievement is documented in a peer-reviewed paper titled “Beyond-Classical Computation in Quantum Simulation,” published in Science.

The research indicates that D-Wave’s quantum computer completed simulations that would take nearly a million years and exceed the world’s annual electricity consumption if attempted with classical technology. The D-Wave Advantage2 prototype was central to this success.

An international team collaborated to simulate quantum dynamics in programmable spin glasses using both D-Wave’s system and the Frontier supercomputer at Oak Ridge National Laboratory, showcasing the quantum computer’s capability for swift and accurate simulation of various lattice structures and materials properties.

NVIDIA Is About To Drop New AI Chips. Here’s What To Expect At Their GTC Event

All eyes will be on Nvidia’s GPU Technology Conference this week, where the company is expected to unveil its next artificial intelligence chips. Nvidia chief executive Jensen Huang said he will share more about the upcoming Blackwell Ultra AI chip, Vera Rubin platform, and plans for following products at the annual conference, known as the GTC, during the company’s fiscal fourth quarter earnings call.

On the earnings call, Huang said Nvidia has some really exciting things to share at the GTC about enterprise and agentic AI, reasoning models, and robotics. The chipmaker introduced its highly anticipated Blackwell AI platform at last year’s GTC, which has successfully ramped up large-scale production, and made billions of dollars in sales in its first quarter, according to Huang.

Analysts at Bank of America said in a note on Wednesday that they expect Nvidia to present attractive albeit well-expected updates on Blackwell Ultra, with a focus on inferencing for reasoning models, which major firms such as OpenAI and Google are racing to develop.

The analysts also anticipate the chipmaker to share more information on its next-generation networking technology, and long-term opportunities in autonomous cars, physical AI such as robotics, and quantum computing.

In January, Nvidia announced that it would host its first Quantum Day at the GTC, and have executives from D-Wave and Rigetti discuss where quantum computing is headed. The company added that it will unveil quantum computing advances shortening the timeline to useful applications.

The same month, quantum computing stocks tanked after Huang expressed doubts over the technology’s near-term potential during the chipmaker’s financial analyst day at the Consumer Electronics Show, saying useful quantum computers are likely decades away.

Continue reading “NVIDIA Is About To Drop New AI Chips. Here’s What To Expect At Their GTC Event” | >

Atomic Anomaly Confirmed! Evidence for a “dark force”?

Check out my quantum mechanics course on Brilliant! First 30 days are free and 20% off the annual premium subscription when you use our link ➜ https://brilliant.org/sabine.

In 2020, a group of MIT researchers detected an anomaly in the nuclei of ytterbium atoms. They said that the nuclei’s strange behavior might be indicative of a “dark force” caused by a currently-undiscovered mystery particle that might make up dark matter. In 2020, the anomaly only had a significance of 3 sigma. But now, another group has confirmed it at a whopping 23 sigma! What does that mean for physics? Let’s find out.

Paper: https://journals.aps.org/prl/abstract… Check out my new quiz app ➜ http://quizwithit.com/ 💌 Support me on Donorbox ➜ https://donorbox.org/swtg 📝 Transcripts and written news on Substack ➜ https://sciencewtg.substack.com/ 👉 Transcript with links to references on Patreon ➜ / sabine 📩 Free weekly science newsletter ➜ https://sabinehossenfelder.com/newsle… 👂 Audio only podcast ➜ https://open.spotify.com/show/0MkNfXl… 🔗 Join this channel to get access to perks ➜ / @sabinehossenfelder 🖼️ On instagram ➜ / sciencewtg #science #sciencenews #physics #darkmatter.

🤓 Check out my new quiz app ➜ http://quizwithit.com/
💌 Support me on Donorbox ➜ https://donorbox.org/swtg.
📝 Transcripts and written news on Substack ➜ https://sciencewtg.substack.com/
👉 Transcript with links to references on Patreon ➜ / sabine.
📩 Free weekly science newsletter ➜ https://sabinehossenfelder.com/newsle…
👂 Audio only podcast ➜ https://open.spotify.com/show/0MkNfXl…
🔗 Join this channel to get access to perks ➜
/ @sabinehossenfelder.
🖼️ On instagram ➜ / sciencewtg.

#science #sciencenews #physics #darkmatter

Twisting 2D materials creates artificial atoms that could advance quantum computers

By taking two flakes of special materials that are just one atom thick and twisting them at high angles, researchers at the University of Rochester have unlocked unique optical properties that could be used in quantum computers and other quantum technologies.

Physicists Bend Time Inside a Diamond, Creating a Brand-New Phase of Matter

Physicists at Washington University have forged ahead in the field of quantum mechanics by creating a new phase of matter known as “time crystals” and the even more advanced “time quasicrystals.”

These groundbreaking materials defy traditional physics by maintaining perpetual motion and could revolutionize quantum computing.

Performing computation using quantum-mechanical phenomena such as superposition and entanglement.

A new computational method for super-large-scale atomic structures

New theoretical physics research introduces a simulation method of machine-learning-based effective Hamiltonian for super-large-scale atomic structures. This effective Hamiltonian method could simulate much larger structures than the methods based on quantum mechanisms and classical mechanics.

The findings are published in npj Computational Materials under the title, “Active learning of effective Hamiltonian for super-large-scale .” The paper was authored by an international team of physicists, including the University of Arkansas, Nanjing University, and the University of Luxembourg.

In ferroelectrics and dielectrics, there is one kind of structure—mesoscopic structure, which usually has atoms more than millions.

Quantum Breakthrough: Scientists Create Schrödinger-Cat State With Record-Long Lifetime

A research team led by Prof. Zhengtian Lu and Researcher Tian Xia from the University of Science and Technology of China (USTC) has successfully created a quantum state with a lifetime on the scale of minutes using optically trapped cold atoms. This breakthrough significantly improves the sensitivity of quantum metrology measurements. Their findings were published in Nature Photonics

<em> Nature Photonics </em> is a prestigious, peer-reviewed scientific journal that is published by the Nature Publishing Group. Launched in January 2007, the journal focuses on the field of photonics, which includes research into the science and technology of light generation, manipulation, and detection. Its content ranges from fundamental research to applied science, covering topics such as lasers, optical devices, photonics materials, and photonics for energy. In addition to research papers, <em> Nature Photonics </em> also publishes reviews, news, and commentary on significant developments in the photonics field. It is a highly respected publication and is widely read by researchers, academics, and professionals in the photonics and related fields.

Quantum genesis: The emergence of a flat universe and its mirror from nothing

I’ve long been fascinated by the fundamental mystery of our universe’s origin. In my work, I explore an alternative to the traditional singularity-based models of cosmology. Instead of a universe emerging from an infinitely dense point, I propose that a flat universe and its time-reversed partner—an anti-universe—can emerge together from nothing through a smooth, quantum process.

This model, described in a manuscript accepted for publication in Europhysics Letters, addresses some of the key challenges in earlier proposals, such as the Hartle–Hawking no-boundary and Vilenkin’s tunneling approaches.

Light-powered artificial neurons mimic brain-like oscillations

International Iberian Nanotechnology Laboratory (INL) researchers have developed a neuromorphic photonic semiconductor neuron capable of processing optical information through self-sustained oscillations. Exploring the use of light to control negative differential resistance (NDR) in a micropillar quantum resonant tunneling diode (RTD), the research indicates that this approach could lead to highly efficient light-driven neuromorphic computing systems.

Neuromorphic computing seeks to replicate the information-processing capabilities of biological neural networks. Neurons in rely on rhythmic burst firing for sensory encoding, , and network synchronization, functions that depend on oscillatory activity for signal transmission and processing.

Existing neuromorphic approaches replicate these processes using electrical, mechanical, or thermal stimuli, but optical-based systems offer advantages in speed, energy efficiency, and miniaturization. While previous research has demonstrated photonic synapses and artificial afferent nerves, these implementations require additional circuits that increase power consumption and complexity.