Quantum Sampling Opens a New Route Through Peptide Space
A hybrid quantum-classical workflow suggests a new way to generate peptide candidates, particularly when biological training data is scarce.
A hybrid quantum-classical workflow suggests a new way to generate peptide candidates, particularly when biological training data is scarce.
We have entered into a new age of space exploration, in which the commercialization of space travel has opened up the possibility that within a generation, space tourism will become a normal part of human existence. Yet, space travel does not come without a price.
Since E.E. “Doc” Smith’s 1934 novel, Triplanetary, people have dreamed about performing the first space dive. As we make our first steps toward commercialising space travel, many people have started to wonder if we are any closer to achieving the first space dive.
Time crystals are quantum systems whose lowest energy-state is where its particles are in constant motion.
The birth and ultimate fate of the 13.7 billion year old universe is a subject that has intrigued scientists since the dawn of civilization.
Since the Nobel prize for chemistry was awarded to biochemist Jennifer Doudna and microbiologist Emmanuelle Charpentier in 2020, for developing the gene-editing technique known as Crispr-Cas9, Crispr has enjoyed a lot of attention and interest from scientists. The technique has been touted as a possible source of new treatments for diseases caused by genetic mutations, such as muscular dystrophy, and congenital blindness.
Despite shutting down its operations in 2011, data from an old experiment at the Collider Detector at Fermilab (CDF) has pushed scientists to further rethink the Standard Model.
Researchers at the Delft University of Technology (TU Delft) have realized the superconducting analogue to the semiconducting diode, the