AI/ML Can Fix Mistakes of Error-prone Quantum Computers

At present, quantum computer systems make too many errors to ever be really helpful, however, a synthetic intelligence that may appropriate quantum errors might supply an answer. The duty is extra complicated in quantum computing as a result every qubit, or quantum bit, exists in a blended state of zero and 1, and any try to establish errors by instantly measuring qubits destroys the information. Researchers have developed a way to identify sources of error in quantum computers through Artificial intelligence and machine learning, providing hardware developers the ability to pinpoint performance degradation with unprecedented accuracy. A technique to detect the tiniest deviations from the precise conditions needed to execute quantum algorithms using trapped ion and superconducting quantum computing hardware. These are the core technologies used by industrial quantum computing efforts at IBM, Google, Honeywell, and others.