A study led by Lily Zhao at the Flatiron Institute's Center for Computational Astrophysics has made ultra-precise measurements of the exoplanet 55 Cancri e, where temperatures soar to more than 4,000 degrees Fahrenheit.
In initial tests, a simplified version of a popular superconducting qubit achieves high computation accuracies, making it attractive for future quantum computers.
To spot dramatic transient events like these, astronomers need telescopes that continually scan as much of the sky as possible and which flag any sudden changes in brightness. But there are thousands of changes in brightness observed every night, so this mountain of data needs to be refined to unearth the most interesting objects.
There has in recent years been a widespread reevaluation of the goals of therapy and metrics for success, driven in part by the self-advocating voices of people on the spectrum.
Recent engineering advances have enabled scientists to shrink electronics down to the cellular scale — with hopes of potentially using them to explore and manipulate the innards of individual cells.
Algorithms can pore over astrophysical data to identify underlying equations. Now, physicists like Shirley Ho of the Flatiron Institute's Center for Computational Astrophysics and others are trying to figure out how to imbue these “machine theorists” with the ability to find deeper laws of nature.
Henri, operated by the Flatiron Institute in New York City, is now the most energy-efficient publicly ranked supercomputer in the world, besting a bevy of Frontier-style systems that otherwise dominate the top ten of the Green500.