Quantum computers have the capability to solve complex tasks that are beyond the capabilities of conventional computers. However, like most things, there are challenges. This interesting information came to us from Phys.org in their article, “Neural networks enable learning of error correction strategies for quantum computers.”
The quantum states are extremely sensitive to constant interference from their environment. The plan is to combat this using active protection based on quantum error correction that is capable of learning with the assistance of artificial intelligence (AI).
Artificial neural networks are computer programs that mimic the behavior of interconnected nerve cells. The first area of application are quantum computers. The basis for quantum information is the quantum bit, or qubit. Unlike conventional digital bits, a qubit can adopt not only the two states zero and one, but also superpositions of both states. In a quantum computer’s processor, there are even multiple qubits superimposed as part of a joint state.
In addition to error correction in quantum computers, there are many other applications for AI waiting in the future.
Melody K. Smith
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