Researchers led by Giulia Galli at University of Chicago's Pritzker School of Molecular Engineering report a computational study that predicts the conditions to create specific spin defects in silicon carbide. Their findings, ...
The popular children's game of telephone is based on a simple premise: The starting player whispers a message into the ear of the next player. That second player then passes along the message to the third person and so on ...
Today, we are living in the midst of a race to develop a quantum computer, one that could be used for practical applications. This device, built on the principles of quantum mechanics, holds the potential to perform computing ...
The long-term vision for quantum computing is the ability to leverage millions of noise-free qubits to address selected problems that are hard to solve with classical computers. Application fields that may benefit from this ...
In the future, quantum computers may be able to solve problems that are far too complex for today's most powerful supercomputers. To realize this promise, quantum versions of error correction codes must be able to account ...
A quantum machine can drastically speed up certain kinds of computation, but only if two or more quantum bits in the machine are entangled—that is, capable of displaying related behavior despite being separated.
Quantum computers process information using quantum bits, or qubits, based on fragile, short-lived quantum mechanical states. To make qubits robust and tailor them for applications, researchers from the Department of Energy's ...
Quantum computers can solve certain computational problems much faster than ordinary computers by using specific quantum properties. The basic building blocks of such machines are called quantum-bits or qubits. Qubits can ...
Using laser light, researchers have developed the most robust method currently known to control individual qubits made of the chemical element barium. The ability to reliably control a qubit is an important achievement for ...
Researchers from the RIKEN Center for Quantum Computing have used machine learning to perform error correction for quantum computers—a crucial step for making these devices practical—using an autonomous correction system ...
