Researchers create a quantum nanochip that is capable of producing stable, high-quality qubits and could open doors for powerful quantum computers.
The quantum computer named Jiuzhang was able to complete a task 100 trillion times faster than one of the world’s fastest super computers.
Using their deep-learning program, AlphaFold, researchers predict the 3D structure of proteins using only their linear amino acid sequence, revolutionizing computational biology as we know it.
Minimizing the variability between individual artificial synapses is a key step toward rolling them out for practical applications.
The waste chips of paint you strip off the walls might not be so useless afterall.
A new computing paradigm could help us to overcome a key performance bottleneck to improve our ability to query large data bases.
Researchers are developing algorithms and machine learning methods to further our understanding of the quantum state space.
Researchers integrate the elements needed for electronic filters into a single, self-assembling component.
Using the principles of quantum mechanics, scientists are unlocking incredible computing powers one experiment at a time.
New quantum algorithms will have dramatic impact in computational molecular biology and bioinformatics and promise to impact a number of life science applications.