Visual explanations of machine learning models to estimate charge states in quantum dots

To form qubit states in semiconductor materials, it requires tuning for numerous parameters. But as the number of qubits increases, the amount of parameters also increases, thereby complicating this process. Now, researchers have automated this process, overcoming a significant barrier to realizing quantum computers.

Source: sciencedaily.com

Related posts

Researchers capture never-before-seen view of gene transcription

Poor health, stress in 20s takes toll in 40s with lower cognition

Scientists discover way to ‘grow’ sub-nanometer sized transistors