HiFi-DisQ: High Fidelity Distributed Quantum Computing with Optimized Communication

Distributed computing can scale the capacity of quantum computing through small quantum processors interconnected by quantum communication links. In contrast to monolithic quantum computers, it enables a large-scale, robust computing environment for practical, real-world tasks. Distributed quantum computing must overcome challenges in task distribution and resource optimization in order to obtain highfidelity results. Key tasks include managing quantum communication costs, mitigating communication noise, achieving high-fidelity entanglement, and optimizing qubit allocation. To solve these challenges, we present HiFi-DisQ, a distributed quantum computing framework that aims to provide high fidelity distributed quantum circuit performance by minimizing non-local operations, pattern-matching and circuit remapping algorithms. The proposed framework improves the circuit performance and provides faster transpilation and effective resource optimization. Our method shows <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$5 \%-20 \%$</tex> improvement in fidelity and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$4 \%-14 \%$</tex> reduction in communication cost.