To circumvent this difficulty, Markus Müller's research group has established a method that allows the quantum computer to ...

Quantum computing is still in its infancy, easily beaten by traditional computers. One of the biggest challenges? The fact that quantum bits — qubits — are much more fragile than the bits in ...

Now, the Erlangen-based researchers are using neural networks of this kind to develop error-correction learning for a quantum computer. Artificial neural networks are computer programs that mimic ...

Theoretical physicists at RIKEN have made a key advance in quantum computing, using AI to improve the Gottesman-Kitaev-Preskill (GKP) code, a vital error-correction method. This breakthrough ...

Quantum bits are fussy and fragile. Useful quantum computers will need to use an error-correction technique like the one that was recently demonstrated on a real machine. In 1994, Peter Shor, a ...

All it takes is a simple coding change. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. A student's tweak in quantum computing code could ...

and to motivate further exploration of analog neural codes from the perspective of strong error-correction. Note that independent noise in the time-varying network phases, as considered here ...

Mistakes happen — especially in quantum computers. The fragile quantum bits, or qubits, that make up the machines are notoriously error-prone, but now scientists have shown that they can fix the ...