Quantum technology is quantifiable in qubits, which are the most basic unit of data in quantum computers. The operation of qubits is affected by the quantum coherence time required to maintain a quantum wave state.
Dr. Asela Abeya, of SUNY Poly faculty in the Department of Mathematics and Physics, has collaborated with peers at the University at Buffalo and Rensselaer Polytechnic Institute on a research paper titled “On Maxwell-Bloch systems with inhomogeneous broadening and one-sided nonzero background,” which has been published in Communications in Mathematical Physics.
In Light: Science & Applications journal UCLA researchers introduce an innovative design for diffractive deep neural networks (D2NNs). This new architecture, termed Pyramid-D2NN (P-D2NN), achieves unidirectional image magnification and demagnification, significantly reducing the number of diffractive features required.
Research on quantum internet technology highlights the challenge of producing stable photons at telecom wavelengths, with recent studies focusing on material improvements and advanced emission techniques to enhance quantum network efficiency.
Computers benefit greatly from being connected to the internet, so we might ask: What good is a quantum computer without a quantum internet?
The secret to our modern internet is the ability for data to remain intact while traveling over long distances, and the best way to achieve that is by using photons. Photons are single units (“quanta”) of light. Unlike other quantum particles, photons interact very weakly with their environment. That stability also makes them extremely appealing for carrying quantum information over long distances, a process that requires maintaining a delicate state of entanglement for an extended period of time. Such photons can be generated in a variety of ways. One possible method involves using atomic-scale imperfections (quantum defects) in crystals to generate single photons in a well-defined quantum state.
All-optical multiplane quantitative phase imaging design eliminates the need for digital phase recovery algorithms.
UCLA researchers have introduced a breakthrough in 3D quantitative phase imaging that utilizes a wavelength-multiplexed diffractive optical processor to enhance imaging efficiency and speed. This method enables label-free, high-resolution imaging across multiple planes and has significant potential applications in biomedical diagnostics, material characterization, and environmental analysis.
Introduction to Quantitative Phase Imaging.
CEDAR PARK, Texas (KXAN) — Cedar Park is now home to a first-of-its-kind distinction in the state. The city is now hoping to cash in on the popularity of video games and virtual reality.
Cedar Park is now officially known as a “Digital Media Friendly Texas Certified Community.”
“This program is really designed to bring in that tech and creative talent,” Arthur Jackson, Chief Economic Development Officer for the city, said.
How Do Stars Really Die?
Posted in cosmology
There’s more than one way for a star to die. Some go with a whimper, and some go with a very, very big bang.
By Phil Plait
Very soon now, possibly in a few days, though more likely in the next few weeks, a new star will appear in our sky—except it’s really an old star. Called T Coronae Borealis (or T Cor Bor), it’s a binary system composed of a huge red giant star and a tiny white dwarf. Though small, white dwarfs are vicious: They pack much of a solar-type star’s mass into an approximately Earth-sized sphere. This makes them terrifically dense and hot, and they possess a fierce gravitational attraction.
A recent study of Iceland’s Krafla volcanic caldera suggests hidden magma pools may be lurking under many of the world’s volcanic systems.
When we form a new memory, the brain undergoes physical and functional changes known collectively as a “memory trace.” A memory trace represents the specific patterns of activity and structural modifications of neurons that occur when a memory is formed and later recalled.
But how does the brain “decide” which neurons will be involved in a memory trace? Studies have suggested that the inherent excitability of neurons plays a role, but the currently accepted view of learning has neglected to look inside the command center of the neuron itself, its nucleus. In the nucleus, there seems to be another dimension altogether that has gone unexplored: epigenetics.
Inside every cell of a given living organism, the genetic material encoded by the DNA is the same, yet the various cell types that make up the body, like skin cells, kidney cells, or nerve cells each express a different set of genes. Epigenetics is the mechanism of how cells control such gene activity without changing the DNA sequence.