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Glimpsing the quantum vacuum: Particle spin correlations offer insight into how visible matter emerges from ‘nothing’

Scientists at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory have uncovered experimental evidence that particles of matter emerging from energetic subatomic smashups retain a key feature of virtual particles that exist only fleetingly in the quantum vacuum. The finding offers a new way to explore how the vacuum—once thought of as empty space—provides important ingredients needed to transform virtual “nothingness” into the matter that makes up our world.

The research, just published in Nature, was carried out by the STAR Collaboration at Brookhaven’s Relativistic Heavy Ion Collider (RHIC), a DOE Office of Science user facility for nuclear physics research. The paper presents evidence of a significant correlation in particle spins—a built-in quantum property related to magnetism—among certain pairs of particles emerging from proton-proton collisions at RHIC.

The STAR scientists’ analysis directly links those correlations to the spin alignment of virtual quark-antiquark pairs generated in the quantum vacuum. In essence, the scientists say, RHIC’s collisions give those virtual particles the energetic boost they need to transform into the real particles detected by STAR.

Electron-phonon ‘surfing’ could help stabilize quantum hardware, nanowire tests suggest

That low-frequency fuzz that can bedevil cellphone calls has to do with how electrons move through and interact in materials at the smallest scale. The electronic flicker noise is often caused by interruptions in the flow of electrons by various scattering processes in the metals that conduct them.

The same sort of noise hampers the detecting powers of advanced sensors. It also creates hurdles for the development of quantum computers—devices expected to yield unbreakable cybersecurity, process large-scale calculations and simulate nature in ways that are currently impossible.

A much quieter, brighter future may be on the way for these technologies, thanks to a new study led by UCLA. The research team demonstrated prototype devices that, above a certain voltage, conducted electricity with lower noise than the normal flow of electrons.

Supervised and unsupervised quantum machine learning models for the phase detection of the ANNNI spin model

Based on the paper Quantum phase detection generalization from marginal quantum neural network models, explore the phase diagram of the Axial Next-Nearest-Neighbor Ising (ANNNI) model using both supervised and unsupervised learning methods.

Nothing Is Real: The Simulation Hypothesis

Are we living inside a computer simulation? The evidence is more compelling than you think.

In this deep exploration of the Simulation Hypothesis, we examine the scientific and philosophical arguments that suggest our reality might be code. From Nick Bostrom’s groundbreaking trilemma to quantum mechanics acting like a computer program, from the fine-tuned constants of physics to Elon Musk’s probabilistic arguments—we follow the evidence wherever it leads. Whether we’re simulated or not, the question reveals profound truths about consciousness, reality, and what it means to be human.

CHAPTERS:

0:00 — The Uncomfortable Question.

4:47 — Nick Bostrom’s Trilemma: The Logical Trap.

9:34 — The Ancestor Simulation Scenario.

Realization of two-dimensional discrete time crystals with anisotropic Heisenberg coupling

Experimental realizations of discrete time crystals have mainly involved 1D models with Ising-like couplings. Here, the authors realize a 2D discrete time crystal with anisotropic Heisenberg coupling on a quantum simulator based on superconducting qubits, uncovering a rich phase diagram.

Experiments Hint on Time Being an Illusion

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Hello and welcome! My name is Anton and in this video, we will talk about experimental evidence that time may be an illusion.
Links:
https://arxiv.org/pdf/2310.13386
https://journals.aps.org/prd/pdf/10.1103/qfns-48vq.
https://en.wikipedia.org/wiki/Problem_of_time.
https://journals.aps.org/prl/pdf/10.1103/5rtj-djfk.
https://journals.aps.org/prx/pdf/10.1103/PhysRevX.11.021029
https://journals.aps.org/prx/pdf/10.1103/PhysRevX.7.031022
#time #physics #universe.

0:00 Time — what is it?
1:20 Time in general relativity (Einstein)
2:10 Quantum mechanics time.
2:40 The problem of time.
3:30 Page Wootters mechanism — is time emergent?
5:00 Experiments and possible proofs — entropy and quantum dots.
7:40 Large scale system.
8:30 What this suggests and how black holes can help.
9:50 Conclusions.

Enjoy and please subscribe.

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How AI & Quantum Are Reshaping Federal Innovation

By Chuck Brooks

#artificialintelligence #tech #government #quantum #innovation #federal #ai


By Chuck Brooks, president of Brooks Consulting International

In 2026, government technological innovation has reached a key turning point. After years of modernization plans, pilot projects and progressive acceptance, government leaders are increasingly incorporating artificial intelligence and quantum technologies directly into mission-critical capabilities. These technologies are becoming essential infrastructure for economic competitiveness, national security and scientific advancement rather than merely scholarly curiosity.

We are seeing a deliberate change in the federal landscape from isolated testing to the planned implementation of emerging technology across the whole government. This evolution represents not only technology momentum but also policy leadership, public-private collaboration and expanded industrial capability.

Edge of Many-Body Quantum Chaos in Quantum Reservoir Computing

Reservoir computing (RC) is a machine learning paradigm that harnesses dynamical systems as computational resources. In its quantum extension—quantum reservoir computing (QRC)—these principles are applied to quantum systems, whose rich dynamics broadens the landscape of information processing. In classical RC, optimal performance is typically achieved at the “edge of chaos,’’ the boundary between order and chaos. Here, we identify its quantum many-body counterpart using the QRC implemented on the celebrated Sachdev-Ye-Kitaev model. Our analysis reveals substantial performance enhancements near two distinct characteristic “edges’‘: a temporal boundary defined by the Thouless time, beyond which system dynamics is described by random matrix theory, and a parametric boundary governing the transition from integrable to chaotic regimes.

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