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Costa Rica has declared a state of emergency after ransomware hackers crippled computer networks across multiple government agencies, including the Finance Ministry.

The official declaration, published on a government website Wednesday, said that the attack was “unprecedented in the country” and that it interrupted the country’s tax collection and exposed citizens’ personal information.

The hackers initially broke into the Finance Ministry on April 12, it said. They were able to spread to other agencies, including the Ministry of Science, Technology and Telecommunications and the National Meteorological Institute.

Some materials, like wood, are insulators that block the flow of electricity. Conductors, such as copper, allow for electricity to flow through them. Other materials—semiconductors—can be either/or depending on conditions such as applied electric field or temperature. Unlike wood or copper or silicon, though, topological insulators (TIs) are an exotic state of matter that is conductive on the surface, but not in the bulk. Such unique material properties have great scientific implications and could be of use in a range of technologies, including wireless communications, radar and quantum information processing.

Through a , the research labs of Aravind Nagulu, assistant professor in the Preston M. Green Department of Electrical & Systems Engineering at Washington University in St. Louis, and colleagues from Columbia University and the City University of New York’s Advanced Science Research Center have demonstrated the first implementation of an electromagnetic topological insulator on an integrated chip.

The collaborative project’s findings were published May 2 in the journal Nature Electronics.

Circa 2020


A startup has built what it claims is the “world’s first true smart contact lens” with an embedded display that would bring augmented reality experiences closer to your eyeball than ever before.

The company is called Mojo Vision, and its Mojo Lens is the culmination of over a decade of research, development, and patent filings (it’s racked up over 100 patents to date). While it’s not shipping a product (yet), the company is currently demonstrating a working prototype.

“After extensive research, development, and testing, we are excited to reveal our product plans and begin sharing details about this transformative platform,” said Drew Perkins, CEO at Mojo Vision. “Mojo has a vision for Invisible Computing where you have the information you want when you want it and are not bombarded or distracted by data when you don’t. The technology should be helpful, and it should be available in the moment and fade away when you want to focus on the world around you.”

At the time of writing, scientists and engineers still haven’t figured out how to replicate every computer component that currently exists within semiconductor processors. Computation is nonlinear. It requires that different signals interact with each other and change the outcomes of other components. You need to build logic gates in the same way that semiconductor transistors are used to create logic gates, but photons don’t behave in a way that naturally works with this approach.

This is where photonic logic comes into the picture. By using nonlinear optics it’s possible to build logic gates similar to those used in conventional processors. At least, in theory, it could be possible. There are many practical and technological hurdles to overcome before photonic computers play a significant role.

Leonard Susskind (Stanford University)
https://simons.berkeley.edu/events/quantum-colloquium-black-…ing-thesis.
Quantum Colloquium.

A few years ago three computer scientists named Adam Bouland, Bill Fefferman, and Umesh Vazirani, wrote a paper that promises to radically change the way we think about the interiors of black holes. Inspired by their paper I will explain how black holes threaten the QECTT, and how the properties of horizons rescue the thesis, and eventually make predictions for the complexity of extracting information from behind the black hole horizon. I’ll try my best to explain enough about black holes to keep the lecture self contained.

Panel featuring Scott Aaronson (UT Austin), Geoffrey Penington (UC Berkeley), and Edward Witten (IAS); Umesh Vazirani (UC Berkeley; moderator). 1:27:30.

Algorithm set for deployment in Japan could identify giant temblors faster and more reliably.


Two minutes after the world’s biggest tectonic plate shuddered off the coast of Japan, the country’s meteorological agency issued its final warning to about 50 million residents: A magnitude 8.1 earthquake had generated a tsunami that was headed for shore. But it wasn’t until hours after the waves arrived that experts gauged the true size of the 11 March 2011 Tohoku quake. Ultimately, it rang in at a magnitude 9—releasing more than 22 times the energy experts predicted and leaving at least 18,000 dead, some in areas that never received the alert. Now, scientists have found a way to get more accurate size estimates faster, by using computer algorithms to identify the wake from gravitational waves that shoot from the fault at the speed of light.

“This is a completely new [way to recognize] large-magnitude earthquakes,” says Richard Allen, a seismologist at the University of California, Berkeley, who was not involved in the study. “If we were to implement this algorithm, we’d have that much more confidence that this is a really big earthquake, and we could push that alert out over a much larger area sooner.”

Scientists typically detect earthquakes by monitoring ground vibrations, or seismic waves, with devices called seismometers. The amount of advance warning they can provide depends on distance between the earthquake and the seismometers, and the speed of the seismic waves, which travel less than 6 kilometers per second. Networks in Japan, Mexico, and California provide seconds or even minutes of advance warning, and the approach works well for relatively small temblors. But beyond magnitude 7, the earthquake waves can saturate seismometers. This makes the most destructive earthquakes, like Japan’s Tohoku quake, the most challenging to identify, Allen says.

A group of researchers from Pisa, Jyväskylä, San Sebastian and MIT have demonstrated how a heterostructure consisting of superconductors and magnets can be used to create unidirectional current like that found in semiconductor diodes.

These novel superconductor diodes, however, operate at much than their semiconductor counterparts and are therefore useful in quantum technologies.

Modern computers use electrons to process information, but this design is starting to reach theoretical limits. However, it could be possible to use magnetism instead and thereby keep up the development of both cheaper and more powerful computers, thanks to work by scientists from the Niels Bohr Institute (NBI) and University of Copenhagen. Their study is published in the journal Nature Communications.

“The function of a computer involves sending electric current through a microchip. While the amount is tiny, the current will not only transport information but also contribute to heating up the chip. When you have a huge number of components tightly packed, the heat becomes a problem. This is one of the reasons why we have reached the limit for how much you can shrink the components. A computer based on magnetism would avoid the problem of overheating,” says Professor Kim Lefmann, Condensed Matter Physics, NBI.

“Our discovery is not a direct recipe for making a computer based on magnetism. Rather we have disclosed a fundamental magnetic property which you need to control, if you want to design a such computer.”

The current state of affairs, however, is a bit more complicated. While quantum computers have officially gone from theory to fact—a remarkable achievement—none are yet practical.

To realize a useful quantum computer, Google, IBM, Microsoft, Amazon, and others are pouring resources into machines that run on a menagerie of qubits. The most popular approach, favored by Google and IBM, involves tiny loops of superconducting wire. Honeywell and IonQ are pursuing atomic qubits made of trapped ions. Researchers in China are building intricate, Rube-Goldberg-like machines on lab benches to run quantum computations with mirrors and light.

The quantum race is anything but settled, and as outlined in a paper published this week in Nature, there’s a new horse on the track. Instead of superconducting loops, ions, or photons, a team of scientists led by the Department of Energy’s Argonne National Laboratory, made qubits from single electrons.