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 …

Quantum computing represents a paradigm shift in computation, offering the potential to
solve complex problems intractable for classical computers. Although current quantum …

Distributed quantum computing (DQC) is a promising approach to extending the
computational power of near-term quantum hardware. However, the non-local quantum …

For most practical applications, quantum algorithms require large resources in terms of qubit
number, much larger than those available with current noisy intermediate-scale quantum …

Distributed quantum computing (DQC) is a new paradigm aimed at scaling up quantum
computing via the interconnection of smaller quantum processing units (QPUs). Shared …

Modular quantum computing architectures are a promising alternative to monolithic QPU
(Quantum Processing Unit) designs for scaling up quantum devices. They refer to a set of …

A limited number of qubits, high error rates, and limited qubit connectivity are major
challenges for effective near-term quantum computations. Quantum circuit partitioning …

Quantum technologies currently struggle to scale beyond moderate scale prototypes and
are unable to execute even reasonably sized programs due to prohibitive gate error rates or …

Application-specific quantum computers offer the most efficient means to tackle problems
intractable by classical computers. Realizing these architectures necessitates a deep …

Modular quantum computing architectures offer a promising alternative to monolithic
designs for overcoming the scaling limitations of current quantum computers. To achieve …