Related Experiment Video
Updated: May 30, 2025

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
Published on: August 2, 2019
LDPC-cat codes for low-overhead quantum computing in 2D
Diego Ruiz1,2, Jérémie Guillaud3, Anthony Leverrier4
1Alice & Bob, 49 Bd du Général Martial Valin, 75015, Paris, France. diego.ruiz@alice-bob.com.
This study introduces a novel quantum computing architecture combining low-density parity check (LDPC) codes and cat qubits. This approach significantly reduces the overhead for implementing logical qubits, achieving high error suppression for scalable quantum computation.
Area of Science:
- Quantum Computing
- Quantum Error Correction
- Quantum Information Science
Background:
- Physical qubit errors are a major hurdle for large-scale quantum computing.
- Current error correction methods demand a substantial number of physical qubits, increasing overhead.
- Existing strategies like low-density parity check (LDPC) codes and cat qubits offer partial solutions.
Purpose of the Study:
- To develop a highly efficient quantum computing architecture with significantly reduced qubit overhead.
- To combine LDPC codes and cat qubits for synergistic error suppression.
- To enable the implementation of 100 logical qubits on a compact 758-qubit chip.
Main Methods:
- Integration of low-density parity check (LDPC) codes with cat qubits.
- Design of a 2D hardware architecture with short-range interactions and low-weight stabilizers.
- Implementation of fault-tolerant universal logical gates using an additional layer of routing cat qubits.
Main Results:
- Achieved an extremely low overhead architecture for quantum error correction.
- Demonstrated the implementation of 100 logical qubits on a 758-qubit chip with a physical error rate of ~0.1%.
- Attained a total logical error probability per cycle per logical qubit (ϵL) below 10-8.
- Maintained local connectivity and high parallelization capacity for logical gates.
Conclusions:
- The proposed architecture offers a viable path towards scalable quantum computing by minimizing qubit overhead.
- The design is compatible with existing hardware constraints, similar to surface codes.
- The architecture supports efficient implementation of logical gates, enhancing practical quantum computation.
Related Concept Videos
Quantum Numbers
Cartesian Vector Notation
Lattice Centering and Coordination Number
Types of Unit Cells
Imagine taking a large number of identical...
Ampere-Maxwell's Law: Problem-Solving
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
The Pauli Exclusion Principle
Bewley Lattice Diagram

