Google LLC (20240378473). REDUCING PARASITIC INTERACTIONS IN A QUBIT GRID FOR SURFACE CODE ERROR CORRECTION simplified abstract
Contents
REDUCING PARASITIC INTERACTIONS IN A QUBIT GRID FOR SURFACE CODE ERROR CORRECTION
Organization Name
Inventor(s)
John Martinis of Santa Barbara CA (US)
Rami Barends of San Diego CA (US)
Austin Greig Fowler of Reseda CA (US)
REDUCING PARASITIC INTERACTIONS IN A QUBIT GRID FOR SURFACE CODE ERROR CORRECTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240378473 titled 'REDUCING PARASITIC INTERACTIONS IN A QUBIT GRID FOR SURFACE CODE ERROR CORRECTION
Simplified Explanation: The patent application describes methods and systems for performing a surface code error detection cycle in quantum computing. This involves initializing and applying Hadamard gates to measurement qubits, performing entangling operations on paired qubits in different directions, applying Hadamard gates again, and measuring the qubits.
- Multiple measurement qubits are initialized and Hadamard gates are applied to them.
- Entangling operations are performed on paired qubits in different directions.
- Hadamard gates are applied to the measurement qubits again.
- The measurement qubits are then measured.
Key Features and Innovation:
- Utilizes Hadamard gates and entangling operations for error detection in quantum computing.
- Implements entangling operations on paired qubits in multiple directions for comprehensive error detection.
Potential Applications:
- Quantum error detection in quantum computing systems.
- Enhancing the reliability and accuracy of quantum computations.
Problems Solved:
- Addressing errors in quantum computing systems.
- Improving the fault tolerance of quantum algorithms.
Benefits:
- Increased accuracy and reliability in quantum computations.
- Enhanced fault tolerance in quantum computing systems.
Commercial Applications: Potential commercial applications include:
- Quantum computing research and development.
- Quantum computing hardware and software industries.
Questions about Surface Code Error Detection Cycle: 1. How does the implementation of Hadamard gates contribute to error detection in quantum computing? 2. What are the advantages of performing entangling operations on paired qubits in multiple directions for error detection?
Frequently Updated Research: Stay updated on the latest advancements in quantum error detection methods and surface code implementations for quantum computing systems.
Original Abstract Submitted
methods and systems for performing a surface code error detection cycle. in one aspect, a method includes initializing and applying hadamard gates to multiple measurement qubits; performing entangling operations on a first set of paired qubits, wherein each pair comprises a measurement qubit coupled to a neighboring data qubit in a first direction; performing entangling operations on a second set of paired qubits, wherein each pair comprises a measurement qubit coupled to a neighboring data qubit in a second or third direction, the second and third direction being perpendicular to the first direction, the second direction being opposite to the third direction; performing entangling operations on a third set of paired qubits, wherein each pair comprises a measurement qubit coupled to a neighboring data qubit in a fourth direction, the fourth direction being opposite to the first direction; applying hadamard gates to the measurement qubits; and measuring the measurement qubits.
