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City College of New York physicist Pouyan Ghaemi and his research team are claiming significant progress in using quantum computers to study and predict how the state of a large number of interacting quantum particles evolves over time. This was done by developing a quantum algorithm that they run on an IBM quantum computer. “To the best of our knowledge, such particular quantum algorithm which can simulate how interacting quantum particles evolve over time has not been implemented before,” said Ghaemi, associate professor in CCNY’s Division of Science.

Entitled “Probing geometric excitations of fractional quantum Hall states on quantum computers,” the study appears in the journal of Physical Review Letters.

“Quantum mechanics is known to be the underlying mechanism governing the properties of elementary particles such as electrons,” said Ghaemi. “But unfortunately there is no easy way to use equations of quantum mechanics when we want to study the properties of large number of electrons that are also exerting force on each other due to their electric charge.”

New research shows a direct interaction between dark matter particles and those that make up ordinary matter.

A new paper, published in the *Astronomy and Astrophysics* journal, discovered unexpected characteristics for the elusive dark matter that likely goes against our best theory of the universe — the Lambda-Cold Dark Matter model.

What is dark matter?

Staff Scientist Daniele Filippetto working on the High Repetition-Rate Electron Scattering Apparatus. (Credit: Thor Swift/Berkeley Lab)

– By Will Ferguson

Scientists have developed a new machine-learning platform that makes the algorithms that control particle beams and lasers smarter than ever before. Their work could help lead to the development of new and improved particle accelerators that will help scientists unlock the secrets of the subatomic world.

Successful assembly was the result of a collaboration among three institutions in three countries.

Cryomodules are essential components for the U.S. Department of Energy’s Fermi National Accelerator Laboratory’s accelerator complex upgrade, known as the Proton Improvement Plan II, or PIP-II.

PIP-II features a brand-new, 800-million-electronvolt leading-edge superconducting radio-frequency linear accelerator, or linac for short, that will enable Fermilab to produce more than 1 megawatt of beam power, 60% higher than current capabilities. To achieve this groundbreaking feat, the linac will be made up of cryomodules, which are vessels containing niobium cavities.

Continue reading “PIP-II transportation test frame is ready for action” »

A new study shows that nickel oxide superconductors, which conduct electricity with no loss at higher temperatures than conventional superconductors do, contain a type of quantum matter called charge density waves, or CDWs, that can accompany superconductivity.

The presence of CDWs shows that these recently discovered materials, also known as nickelates, are capable of forming correlated states— electron soups that can host a variety of quantum phases, including superconductivity, researchers from the Department of Energy’s SLAC National Accelerator Laboratory and Stanford University reported in Nature Physics today.

“Unlike in any other superconductor we know about, CDWs appear even before we dope the material by replacing some atoms with others to change the number of electrons that are free to move around,” said Wei-Sheng Lee, a SLAC lead scientist and investigator with the Stanford Institute for Materials and Energy Science (SIMES) who led the study.

This week our guest academic philosopher, Susan Schneider, who is the founding director for the Center for the Future Mind at Florida Atlantic University, as well as the author of the 2019 book, Artificial You: AI and the Future of Your Mind. In this episode we focus heavily on Susan’s thoughts, hopes, and concerns surrounding the current conversations regarding artificial intelligence. This includes, but is certainly not limited to, the philosophical and ethical questions that AI presents in general, the feasibility of mind uploading and machine consciousness, the ways we may end up outsourcing our decision making to machines, how we might merge with machines, and how these potential tech futures might impact identity and sense of self. You can learn more about Susan at schneiderwebsite.com, and find out how to get involved with her work at fau.edu/future-mind ** Host: Steven Parton — LinkedIn / Twitter Music by: Amine el Filali.

41 MINS

Nonlinear dielectric nanostructures could control the flow of light in next-generation devices for information processing and communications.

When Dong-Fang Deng and her students make feed for the fish they raise at UWM’s School of Freshwater Sciences, they often use ground fishmeal—dried fish parts from fisheries or wild catch—as the protein source.

It’s possible to find microplastics in commercial fish food, she said, because the wild fish that end up in fishmeal consume some of the microplastics that litter the waters they live in. But after Deng actually spotted tiny plastic beads in pre-ground fishmeal, it prompted a question.

“We wondered, ” If the fish eat the microplastics, could the particles accumulate inside their bodies?’” said Deng, professor of freshwater sciences who researches the role of diet in fish farming, or aquaculture.

Physicists demonstrated a way of storing quantum information that is less prone to errors by subjecting a quantum computer’s qubits to quasi-rhythmic laser pulses based on the Fibonacci sequence.

Physicists have created a remarkable, never-before-seen phase of matter by shining a laser pulse sequence inspired by the Fibonacci sequence at atoms inside a quantum computer. Despite there still being only one singular flow of time, the phase has the benefits of two time dimensions, the physicists reported on July 20 in the journal Nature.

This mind-bending property offers a highly desirable benefit: Information stored in the phase is far more protected against errors than with alternative setups currently used in quantum computers. As a result, the information can exist for far longer without getting garbled, an important milestone for making quantum computing.