ARQUIN: architectures for multinode superconducting quantum computers
Many proposals to scale quantum technology rely on modular or distributed designs
wherein individual quantum processors, called nodes, are linked together to form one large …
wherein individual quantum processors, called nodes, are linked together to form one large …
Revisiting the map** of quantum circuits: Entering the multi-core era
Quantum computing represents a paradigm shift in computation, offering the potential to
solve complex problems intractable for classical computers. Although current quantum …
solve complex problems intractable for classical computers. Although current quantum …
Optimal partitioning of quantum circuits using gate cuts and wire cuts
A limited number of qubits, high error rates, and limited qubit connectivity are major
challenges for effective near-term quantum computations. Quantum circuit partitioning …
challenges for effective near-term quantum computations. Quantum circuit partitioning …
Hungarian qubit assignment for optimized map** of quantum circuits on multi-core architectures
Modular quantum computing architectures offer a promising alternative to monolithic
designs for overcoming the scaling limitations of current quantum computers. To achieve …
designs for overcoming the scaling limitations of current quantum computers. To achieve …
Qucomm: Optimizing collective communication for distributed quantum computing
Distributed quantum computing (DQC) is a scalable way to build a large-scale quantum
computing system. Previous compilers for DQC focus on either qubit-to-qubit inter-node …
computing system. Previous compilers for DQC focus on either qubit-to-qubit inter-node …
A Hardware-Aware Gate Cutting Framework for Practical Quantum Circuit Knitting
Circuit knitting emerges as a promising technique to overcome the limitation of the few
physical qubits in near-term quantum hardware by cutting large quantum circuits into smaller …
physical qubits in near-term quantum hardware by cutting large quantum circuits into smaller …