Ponente
Descripción
Quantum networks represent a novel approach for facilitating information
exchange across distant locations through the deployment of various quantum
applications, including Quantum Key Distribution (QKD) and blind comput-
ing. These applications are structured into programs comprising both classical
and quantum code, typically executed in a sequential manner on disparate end
nodes. These end nodes, constituting quantum processors, are composed of
communication and memory qubits that interact via entanglement and classi-
cal communication protocols. Among the candidate architectures for such end
nodes, ion trap systems exhibit promising characteristics owing to their ex-
tended coherence times and precise qubit manipulation capabilities. Nonethe-
less, achieving scalability within a single quantum processor presents a notable
challange, as the introduction of additional qubits within a trap amplifies noise
and heating phenomena, thereby diminishing operational fidelity. To address
this challenge, Trapped-ion Quantum Charge-Coupled Device (QCCD) archi-
tectures have been proposed, which entail the interconnection of multiple traps
alongside the utilization of ion shuttling mechanisms for ion transfer among
traps. This innovative architectural framework necessitates the development
of novel mapping methodologies tailored to quantum algorithms, with a focus
on efficient qubit allocation, routing, and operation scheduling optimized for
quantum network applications. The primary objective of such mapping tech-
niques is to minimize ion movements, thereby reducing circuit execution time
and enhancing overall fidelity.
