Quantum error correction can constantly recalibrate a processor
Summary
Google has developed a method to continuously recalibrate quantum processors while they run calculations. This technique uses the same data from error correction to detect calibration errors and applies a type of machine learning called reinforcement learning to adjust settings in real-time.Key Facts
- Quantum processors use qubits, which must be carefully calibrated to reduce errors.
- Traditional calibration stops computations to retune the system, which is not practical for long calculations.
- Google uses transmon qubits controlled by microwave pulses that can experience drift, causing errors.
- The system detects errors through error correction codes that monitor groups of qubits.
- Calibration errors produce specific patterns in error data that can be distinguished from random errors.
- Reinforcement learning tests slight changes in control settings and learns which reduce errors best.
- This recalibration happens during computing without stopping the quantum calculation.
- The method was demonstrated on two logical qubits using different error correction schemes.
Read the Full Article
This is a fact-based summary from The Actual News. Click below to read the complete story directly from the original source.
