Communication aware qubit placement improves distributed quantum simulation speed
Communication-Aware Qubit Placement and Automatic Node-Count Allocation for Distributed State-Vector Simulation
Distributed, Parallel, and Cluster ComputingEmerging Technologies
Summary
Simulating quantum computers on many regular computers can be slowed down when pieces need to talk too much. The authors designed a system that arranges quantum bits smartly across computers to cut down how much they exchange data. This smart arrangement speeds up simulation, especially for tricky quantum circuits. Their method also figures out how many computers to use automatically, making the process more efficient.
What this means in practice
- •For quantum software developers: Optimize qubit distribution in multi-node simulators to reduce communication overhead and accelerate runtime for complex quantum circuits.
- •For high performance computing teams: Automatically allocate compute nodes for distributed quantum simulations to balance resource use and simulation speed effectively.
Authors
Íñigo Aréjula-Aísa, Sergio Iserte, Petter Sandås, Ricard S. Raigada-García, Antonio J. Peña
Abstract
Distributed quantum circuit simulation enables the execution of large-scale quantum algorithms by partitioning qubits across multiple computational nodes. However, inefficient qubit placement frequently leads to excessive inter-node communication, severely limiting performance and scalability. This work introduces a communication-aware qubit layout optimization framework that systematically minimizes data exchange among nodes while dynamically selecting the optimal number of computational resources. Integrated into the QuCSLO library, our approach supports dynamic node scaling, OpenQASM parsing, and seamless integration with the QuEST simulator. Extensive evaluations on both synthetic benchmarks and real-world QASMBench circuits demonstrate that optimized layouts significantly reduce communication cuts and yield runtime speedups of over 2x compared to identity layouts, particularly in highly entangled circuits. Our results underscore the critical impact of strategic qubit placement on distributed simulation efficiency and provide a practical, resource-scalable solution for quantum workloads.