Distributed Quantum Circuit Cutting for Hybrid Quantum-Classical High-Performance Computing

TL;DR

This paper introduces Qdislib, a distributed library for quantum circuit cutting that enables scalable execution of large quantum circuits across heterogeneous high-performance computing resources, addressing hardware limitations.

Contribution

Qdislib is a novel, flexible, and distributed library that integrates with existing quantum frameworks to facilitate efficient circuit partitioning and execution on diverse hardware.

Findings

Enables distributed execution of quantum circuits across CPUs, GPUs, and QPUs.

Supports wire and gate cutting techniques for circuit decomposition.

Demonstrates scalability in hybrid quantum-classical workflows.

Abstract

Most quantum computers today are constrained by hardware limitations, particularly the number of available qubits, causing significant challenges for executing large-scale quantum algorithms. Circuit cutting has emerged as a key technique to overcome these limitations by decomposing large quantum circuits into smaller subcircuits that can be executed independently and later reconstructed. In this work, we introduce Qdislib, a distributed and flexible library for quantum circuit cutting, designed to seamlessly integrate with hybrid quantum-classical high-performance computing (HPC) systems. Qdislib employs a graph-based representation of quantum circuits to enable efficient partitioning, manipulation and execution, supporting both wire cutting and gate cutting techniques. The library is compatible with multiple quantum computing libraries, including Qiskit and Qibo, and leverages distributed computing frameworks to execute subcircuits across CPUs, GPUs, and quantum processing units (QPUs) in a fully parallelized manner. We present a proof of concept demonstrating how Qdislib enables the distributed execution of quantum circuits across heterogeneous computing resources, showcasing its potential for scalable quantum-classical workflows.