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On the optimality of quantum circuit initial map** using reinforcement learning
Quantum circuit optimization is an inevitable task with the current noisy quantum backends.
This task is considered non-trivial due to the varying circuits' complexities in addition to …
This task is considered non-trivial due to the varying circuits' complexities in addition to …
Effective and Efficient Parallel Qubit Mapper
Quantum computing has been accumulating tremendous attention in recent years. In current
superconducting quantum processors, each qubit can only be connected with a limited …
superconducting quantum processors, each qubit can only be connected with a limited …
Shuttling Compiler for a Trapped-Ion Quantum Computer Architecture with Junctions
F Kreppel, C Melzer, J Wagner, J Hilder… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Current trapped-ion quantum computer architectures based on segmented traps utilize
shuttling operations to establish connectivity between multiple sub-registers within one …
shuttling operations to establish connectivity between multiple sub-registers within one …
Performance-Oriented Layout Synthesis for Quantum Computing.
CC Kao, HY Lin - Computer Systems Science & Engineering, 2024 - search.ebscohost.com
Layout synthesis in quantum computing is crucial due to the physical constraints of quantum
devices where quantum bits (qubits) can only interact effectively with their nearest …
devices where quantum bits (qubits) can only interact effectively with their nearest …