The present paper addresses the high Reynolds number, two-dimensional, steady laminar flow separation phenomenon near an interior (concave) corner. A very fast Alternating Direction Implicit finite difference approach is used to solve the Interacting Boundary Layer approximation to the Navier Stokes equations in a conformal plane. Solutions are presented for corner angles up to 18° for Reynolds numbers (based on forebody length) up to 108. Convergence properties and accuracy levels are identified in order to provide reliability estimates of the results. Limitations to the numerical algorithm for large separation regions at high Reynolds numbers are identified.
Quantum computational algorithms exploit quantum mechanics to solve problems exponentially faster than the best classical algorithms1,2,3. Shor’s quantum algorithm4 for fast number factoring is a key example and the prime motivator in the international effort to realize a quantum computer5. However, due to the substantial resource requirement, to date there have been only four small-scale demonstrations6,7,8,9. Here, we address this resource demand and demonstrate a scalable version of Shor’s algorithm in which the n-qubit control register is replaced by a single qubit that is recycled n times: the total number of qubits is one-third of that required in the standard protocol10,11. Encoding the work register in higher-dimensional states, we implement a two-photon compiled algorithm to factor N = 21. The algorithmic output is distinguishable from noise, in contrast to previous demonstrations. These results point to larger-scale implementations of Shor’s algorithm by harnessing scalable resource reductions applicable to all physical architectures.
In the week of April 12–18, the top 10 search terms on Amazon.com were: toilet paper, face mask, hand sanitizer, paper towels, Lysol spray, Clorox wipes, mask, Lysol, masks for germ protection, and N95 mask. People weren’t just searching, they were buying too —and in bulk. The majority of people looking for masks ended up buying the new Amazon #1 Best Seller, “Face Mask, Pack of 50”.
When covid-19 hit, we started buying things we’d never bought before. The shift was sudden: the mainstays of Amazon’s top ten—phone cases, phone chargers, Lego—were knocked off the charts in just a few days. Nozzle, a London-based consultancy specializing in algorithmic advertising for Amazon sellers, captured the rapid change in this simple graph.
It took less than a week at the end of February for the top 10 Amazon search terms in multiple countries to fill up with products related to covid-19. You can track the spread of the pandemic by what we shopped for: the items peaked first in Italy, followed by Spain, France, Canada, and the US. The UK and Germany lag slightly behind. “It’s an incredible transition in the space of five days,” says Rael Cline, Nozzle’s CEO. The ripple effects have been seen across retail supply chains.
The U.S. space agency National Aeronautics Space Administration (NASA), European Space Agency (ESA), and Japan Aerospace Exploration Agency (JAXA) are inviting coders, entrepreneurs, scientists, designers, storytellers, makers, builders, artists, and technologists to participate in a virtual hackathon May 30–31 dedicated to putting open data to work in developing solutions to issues related to the COVID-19 pandemic.
During the global Space Apps COVID-19 Challenge, participants from around the world will create virtual teams that – during a 48-hour period – will use Earth observation data to propose solutions to COVID-19-related challenges ranging from studying the coronavirus that causes COVID-19 and its spread to the impact the disease is having on the Earth system. Registration for this challenge opens in mid-May.
“There’s a tremendous need for our collective ingenuity right now,” said Thomas Zurbuchen, associate administrator for NASA’s Science Mission Directorate. “I can’t imagine a more worthy focus than COVID-19 on which to direct the energy and enthusiasm from around the world with the Space Apps Challenge that always generates such amazing solutions.”
The unique capabilities of NASA and its partner space agencies in the areas of science and technology enable them to lend a hand during this global crisis. Since the start of the global outbreak, Earth science specialists from each agency have been exploring ways to use unique Earth observation data to aid understanding of the interplay of the Earth system – on global to local scales – with aspects of the COVID-19 outbreak, including, potentially, our ability to combat it. The hackathon will also examine the human and economic response to the virus.
Reports come in that Google has just released a new core algorithm update and that Google is allegedly censoring bitcoin. This is an auspicious time for censorship.
Rice University researchers have discovered a hidden symmetry in the chemical kinetic equations scientists have long used to model and study many of the chemical processes essential for life.
The find has implications for drug design, genetics and biomedical research and is described in a study published on April 21, 2020, in the Proceedings of the National Academy of Sciences. To illustrate the biological ramifications, study co-authors Oleg Igoshin, Anatoly Kolomeisky and Joel Mallory of Rice’s Center for Theoretical Biological Physics (CTBP) used three wide-ranging examples: protein folding, enzyme catalysis and motor protein efficiency.
Igoshin said the symmetry “wasn’t that hard to prove, but no one noticed it before.”
After 10 years, Prof. Raimar Wulkenhaar from the University of Münster’s Mathematical Institute and his colleague Dr. Erik Panzer from the University of Oxford have solved a mathematical equation which was considered to be unsolvable. The equation is to be used to find answers to questions posed by elementary particle physics. In this interview with Christina Heimken, Wulkenhaar looks back on the challenges encountered in looking for the formula for a solution and he explains why the work is not yet finished.
You worked on the solution to the equation for 10 years. What made this equation so difficult to solve?
Some big M&A is afoot in Israel in the world of smart transportation. According to multiplereports and sources that have contacted TechCrunch, chip giant Intel is in the final stages of a deal to acquire Moovit, a startup that applies AI and big data analytics to track traffic and provide transit recommendations to some 800 million people globally. The deal is expected to close in the coming days at a price believed to be in the region of $1 billion.
We have contacted Nir Erez, the founder and CEO of Moovit, as well as Intel spokespeople for a comment on the reports and will update this story as we learn more. For now, Moovit’s spokesperson has not denied the reports and what we have been told directly.
“At this time we have no comment, but if anything changes I’ll definitely let you know,” Moovit’s spokesperson.
