FPGA-Based Quantum Emulator for Surface Code

Quantum error correction is very crucial for the development of fault-tolerant quantum computers. Surface code stands out as a promising approach for quantum error correction due to several features, such as its high error rates, scalability, and straightforward two-dimensional structure. However, it requires numerous physical qubits and complex operations, making scalability difficult. We present a quantum emulator for surface code using FPGA, specifically focusing on the distance-3 rotated surface code. This quantum emulator can emulate quantum error correction algorithms in surface code by leveraging FPGAs' characteristics, such as parallel processing, reconfigurability, and high performance.

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Published
2024-10-16
DOI
https://doi.org/10.1109/ictc62082.2024.10827261
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
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article

FPGA-Based Quantum Emulator for Surface Code

Young‐Chul Kim, Gyu‐Il Cha
Quantum Computing Algorithms and Architecture
article

FPGA-Based Quantum Emulator for Surface Code

Young‐Chul Kim, Gyu‐Il Cha
article en

Abstract

Quantum error correction is very crucial for the development of fault-tolerant quantum computers. Surface code stands out as a promising approach for quantum error correction due to several features, such as its high error rates, scalability, and straightforward two-dimensional structure. However, it requires numerous physical qubits and complex operations, making scalability difficult. We present a quantum emulator for surface code using FPGA, specifically focusing on the distance-3 rotated surface code. This quantum emulator can emulate quantum error correction algorithms in surface code by leveraging FPGAs' characteristics, such as parallel processing, reconfigurability, and high performance.

Electronics and Telecommunications Research Institute (KR)
Affordable and clean energy
Openalex Percentile: Top 77%
Quantum Computing Algorithms and Architecture
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FPGA-Based Quantum Emulator for Surface Code — Young‐Chul Kim, Gyu‐Il Cha · (2024) | TGRS Research Map | TGRS