  Quantum communication networks (QCNs) utilize quantum mechanics for secure
information transmission, but the reliance on fragile and expensive photonic
quantum resources renders QCN resource optimization challenging. Unlike prior
QCN works that relied on blindly compressing direct quantum embeddings of
classical data, this letter proposes a novel quantum semantic communications
(QSC) framework exploiting advancements in quantum machine learning and quantum
semantic representations to extracts and embed only the relevant information
from classical data into minimal high-dimensional quantum states that are
accurately communicated over quantum channels with quantum communication and
semantic fidelity measures. Simulation results indicate that, compared to
semantic-agnostic QCN schemes, the proposed framework achieves approximately
50-75% reduction in quantum communication resources needed, while achieving a
higher quantum semantic fidelity.
