Approximate Dynamical Quantum Error-Correcting Codes

• URL: http://arxiv.org/abs/2502.09177v1
• Date: Thu, 13 Feb 2025 11:06:34 GMT
• Title: Approximate Dynamical Quantum Error-Correcting Codes
• Authors: Nirupam Basak, Andrew Tanggara, Ankith Mohan, Goutam Paul, Kishor Bharti,
• Abstract summary: Quantum error correction plays a critical role in enabling fault-tolerant quantum computing by protecting fragile quantum information from noise. General-purpose quantum error correction codes are designed to address a wide range of noise types, making them impractical for near-term quantum devices. Approximate quantum error correction provides an alternative by tailoring codes to specific noise environments, reducing resource demands while maintaining effective error suppression.
• Score: 4.450613959365281
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• Abstract: Quantum error correction plays a critical role in enabling fault-tolerant quantum computing by protecting fragile quantum information from noise. While general-purpose quantum error correction codes are designed to address a wide range of noise types, they often require substantial resources, making them impractical for near-term quantum devices. Approximate quantum error correction provides an alternative by tailoring codes to specific noise environments, reducing resource demands while maintaining effective error suppression. Dynamical codes, including Floquet codes, introduce a dynamic approach to quantum error correction, employing time-dependent operations to stabilize logical qubits. In this work, we combine the flexibility of dynamical codes with the efficiency of approximate quantum error correction to offer a promising avenue for addressing dominant noise in quantum systems. We construct several approximate dynamical codes using the recently developed strategic code framework. As a special case, we recover the approximate static codes widely studied in the existing literature. By analyzing these approximate dynamical codes through semidefinite programming, we establish the uniqueness and robustness of the optimal encoding, decoding, and check measurements. We also develop a temporal Petz recovery map suited to approximate dynamical codes.

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