Abstract
As quantum communication emerges as a key technology
for the future, it offers promising solutions to the limitations
of classical communication systems. However, quantum
communication also vulnerable to various forms of channel noise,
which can introduce errors during transmission. Quantum error
correction methods are critical to mitigating these errors, thereby
preserving the integrity and reliability of quantum communication
systems. In this study, we explore the effectiveness of the
three-qubit stabilizer code for transmitting images over noisy
quantum channels. We conduct a comparative analysis between
the three-qubit stabilizer code and 1/3 rate polar codes, assessing
their performance across uncompressed images, as well as Joint
Photographic Experts Group (JPEG) and High-Efficiency Image
Format (HEIF) images. Our findings indicate that the threequbit
stabilizer code offers significant advantages in quantum
communication, achieving the Peak Signal-to-Noise Ratio (PSNR)
up to infinity and the Structural Similarity Index Measure (SSIM)
up to 1 for uncompressed images. For JPEG images, it achieves
the PSNR up to 58.27 dB and the SSIM up to 0.9994, while for
HEIF images, the PSNR reaches up to 64.72 dB and the SSIM
up to 0.9999. These results highlight the three-qubit stabilizer
code as a highly effective approach for enhancing the robustness
of quantum communication systems
for the future, it offers promising solutions to the limitations
of classical communication systems. However, quantum
communication also vulnerable to various forms of channel noise,
which can introduce errors during transmission. Quantum error
correction methods are critical to mitigating these errors, thereby
preserving the integrity and reliability of quantum communication
systems. In this study, we explore the effectiveness of the
three-qubit stabilizer code for transmitting images over noisy
quantum channels. We conduct a comparative analysis between
the three-qubit stabilizer code and 1/3 rate polar codes, assessing
their performance across uncompressed images, as well as Joint
Photographic Experts Group (JPEG) and High-Efficiency Image
Format (HEIF) images. Our findings indicate that the threequbit
stabilizer code offers significant advantages in quantum
communication, achieving the Peak Signal-to-Noise Ratio (PSNR)
up to infinity and the Structural Similarity Index Measure (SSIM)
up to 1 for uncompressed images. For JPEG images, it achieves
the PSNR up to 58.27 dB and the SSIM up to 0.9994, while for
HEIF images, the PSNR reaches up to 64.72 dB and the SSIM
up to 0.9999. These results highlight the three-qubit stabilizer
code as a highly effective approach for enhancing the robustness
of quantum communication systems
| Original language | English |
|---|---|
| Title of host publication | 2025 IEEE International Conference on Consumer Electronics (ICCE) |
| Publisher | IEEE |
| Number of pages | 6 |
| ISBN (Electronic) | 979-8-3315-2116-5 |
| ISBN (Print) | 979-8-3315-2117-2 |
| DOIs | |
| Publication status | Published - 26 Mar 2025 |
| Event | 2025 IEEE International Conference on Consumer Electronics (ICCE) - Las Vegas, United States Duration: 11 Jan 2025 → 14 Jan 2025 |
Conference
| Conference | 2025 IEEE International Conference on Consumer Electronics (ICCE) |
|---|---|
| Country/Territory | United States |
| City | Las Vegas |
| Period | 11/01/25 → 14/01/25 |
Keywords
- Image Transmission
- Quantum Communication
- Quantum Error Correction
- Stabilizer Codes