Achieving pure-loss and amplification channel capacity with GKP codes

Quantum error correction codes protects information from realistic noisy channels and lie at the heart of quantum computation and communication tasks. Understanding the optimal performance and other information-theoretic properties, such as the achievable rates, of a given code is crucial, as these factors determine the fundamental limits imposed by the encoding in conjunction with the noise channel. Here, we use the transpose channel to analytically obtain the near-optimal performance of any Gottesman-Kitaev-Preskill (GKP) code under pure loss and pure amplification. We present rigorous connections between GKP code's near-optimal performance and its dual lattice geometry and average input energy. With no energy constraint, we show that when, specific families of GKP codes simultaneously achieves the capacity of loss and amplification. Our results establish GKP code as the first structured bosonic code family that achieves the capacity of loss and amplification.