The computational power of a quantum computer is limited by the number of qubits available for information processing. Increasing this number within a single device is difficult; it is widely accepted that distributed modular architectures are the solution to large-scale quantum computing. The major challenge in implementing such architectures is the need to exchange quantum information between modules. In this work, we show that a distributed quantum computing architecture with limited capacity to exchange information between modules can accurately solve quantum computational problems. Using the example of a variational quantum eigensolver with an ansatz designed for a two-module (dual-core) architecture, we show that three intermodule operations provide a significant advantage over no intermodule (or serially executed) operations. These results provide a strong indication that near-term modular quantum processors can be an effective alternative to their monolithic counterparts.

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• Quantum algorithms
• Quantum algorithms & computation
• Quantum computation
• Quantum information processing
• Quantum networks
• Variational approach