Here I discuss two experiment and Gluon plasma, Gluon dipole. My lectures note is taken from professor Leonar Suskind string theory books and his lecture series. Professor Leonard Suskind books and his lecture grow my string theory knowledge. I have great respectđ to him. My main target to grow curiosity on science.
The biggest open problem in the foundations of physics is that Einsteinâs theory of gravity, General Relativity, does not cooperate with quantum mechanics. Physicists have tried to solve this issue by coming up with a theory of quantum gravity, but those theories fall apart when you need them most â inside of black holes and at the Big Bang. Recently, though, physicists published a new calculation for the Big Bang, with a theory called quadratic gravity, which lets us skip over quantum gravity entirely, and that could explain the origin of time. Letâs take a look.
This video discusses a new explanation for the beginning of the universe, published in PRL, which addresses quantum gravity and the period before time began. It features a presenter discussing \.
Werner Heisenberg (1901â1976) was one of the founders of quantum mechanics â author of the uncertainty principle (1927) and winner of the 1932 Nobel Prize in Physics. He was also among the most philosophically engaged physicists of the century. In his late teens he read Platoâs Timaeus in the original Greek (his father was a professor of Greek), and the dialogueâs central idea stayed with him: that the smallest constituents of matter are not material objects but mathematical forms.
In Physics and Philosophy (1958), Heisenberg argued that modern physics \.
The study demonstrates how a new critical phase of matter can emerge when quantum particles are pushed far from their normal equilibrium conditions. Using ultracold cesium atoms confined to one dimension, the researchers repeatedly altered how strongly the particles interacted with one another. The resulting state goes beyond the behavior predicted by the well-known Tomonaga-Luttinger liquid theory, a cornerstone for understanding one-dimensional quantum systems.
This publication provides the theoretical framework for recent experimental research conducted in the group of Hans-Christoph NĂ€gerl at the Department of Experimental Physics.
Google has unveiled a quantum computing breakthrough that could reshape the future of artificial intelligence, cryptography, medicine, and global technology. But does this really mean AI is becoming obsolete?
In this video, we break down Googleâs Willow quantum chip, the revolutionary error-correction milestone it achieved, and why experts believe this could be one of the biggest advances in computing history. We also explain what the headlines get wrong, how quantum computing actually differs from AI, and why the future is likely to be a combination of both technologies rather than a competition.
Youâll discover: âą What makes Googleâs Willow chip so significant. âą How quantum computers differ from classical AI âą Why the \.
University of Chicago researchers may have found the shortcut quantum computers have needed for decades.
In this video, we break down a major quantum computing breakthrough involving QLDPC error correction codes, reconfigurable atom arrays, and movable neutral atoms controlled by laser light. This new approach could reduce the number of physical qubits needed for practical fault-tolerant quantum computing by a factor of ten to twenty.
That matters because quantum computers have always faced one massive problem: qubits are extremely fragile. Traditional surface-code error correction can require thousands of physical qubits just to protect one reliable logical qubit, pushing useful quantum computers decades into the future. But this new blueprint could bring the requirement down from millions of qubits to tens of thousands.
We also explain why this discovery could affect medicine, drug discovery, encryption, post-quantum cybersecurity, climate technology, materials science, artificial intelligence, and the global race to build real quantum machines.
This is not a finished quantum computer yet. It is a credible engineering roadmap through one of the biggest bottlenecks in the field. But it may move practical quantum computing much closer than experts expected.
Watch the full video to understand why this University of Chicago breakthrough could change the quantum timeline.
Can we actually test whether the multiverse is real? Not just philosophicallybut scientifically?
Quantum physicist Maria Violaris presents five remarkable experiments, from Schrödingerâs cat to Googleâs Willow quantum chip, that put the multiverse to the test. Along the way, she untangles two of the strangest phenomena in all of physics â quantum measurement and entanglement â and reveals how a thought experiment designed to test the multiverse in 1985 accidentally launched todayâs billion-dollar quantum computing race.
Maria also shares a puzzling thought experiment of her own that overturns a long-held assumption: that you can never communicate across branches of the multiverse.
Join this channel to get access to Mariaâs exclusive Memberâs Only Q&A: / @theroyalinstitution.
Maria Violaris is a quantum physicist and prize-winning science communicator with a PhD in the foundations of quantum information from the University of Oxford. She works on quantum theory research at Oxford Quantum Circuits, runs a YouTube channel and the Quantum Foundations Podcast, and pioneered the use of quantum thought experiments for quantum computing education through her Quantum Paradoxes series at IBM Quantum.
For a child diagnosed with neuroblastomaâthe most common infant cancer, occurring when early nerve cells grow out of controlâthe path to treatment isnât simple. Some types of neuroblastoma resolve on their own, while others require aggressive intervention. Researchers have tried matching treatments to patients based on one-gene mutations with limited success. This is because patientsâ outcomes depend on their entire molecular background, containing millions or even billions of features, such as DNA and RNA from tissues and blood.
âItâs much more than just one geneâeverything thatâs happening in the cells of the patient matters,â said Orly Alter, an associate professor of biomedical engineering at the University of Utahâs Scientific Computing & Imaging Institute.
Current artificial intelligence and machine learning (AI/ML) approaches require massive amounts of training data and, specifically, vastly more patient samples than genetic features.
New instruments on the horizon promise the most precise tools yet to study and experiment on the smallest and most complex materials ever manufactured. In a paper published in the journal Nature Materials, University of Cincinnati assistant professor Hanxun Jin highlighted advances in ultrasensitive technology to measure and manipulate some of the tiniest nanomaterials used in manufacturing, aerospace, medicine and more.
And when Jin says tiny, he means really tiny. Semiconductor nanocrystals called quantum dots that are used in TV screens are so small theyâre considered zero-dimensional. That makes the field of nanomaterials characterization a particularly exciting one, Jin said.
Materials scientists at Rice University have developed a new workflow methodology for measuring microscopic defects in diamond and other advanced semiconductor materials. By making it easier to spot flaws that can undermine performance, the approach could accelerate the development of more reliable electronic and quantum devices.
The research team developed a custom Python-based software tool to rapidly analyze data from high-resolution X-ray diffraction, a technique that uses X-rays to probe a materialâs internal crystal structure. The software analyzes the resulting diffraction patterns, picks up on dislocations and irregularities in the atomic lattice, and calculates their density in a given material.
âDislocations can disrupt how charge and heat move through the material, which impacts how efficient and reliable a device is and how easy it is to manufacture at scale,â said Xiang Zhang, assistant research professor of materials science and nanoengineering at Rice and a corresponding author on the study published in Advanced Materials.