Benchmarking Distributed Quantum Computing Emulators

• URL: http://arxiv.org/abs/2512.01807v1
• Date: Mon, 01 Dec 2025 15:42:06 GMT
• Title: Benchmarking Distributed Quantum Computing Emulators
• Authors: Guillermo Díaz-Camacho, Iago F. Llovo, F. Javier Cardama, Irais Bautista, Daniel Faílde, Mariamo Mussa Juane, Jorge Vázquez-Pérez, Natalia Costas, Tomás F. Pena, Andrés Gómez,
• Abstract summary: Distributed quantum computing (DQC) addresses this challenge by interconnecting smaller quantum nodes through quantum communication protocols.<n>We introduce a benchmarking framework to evaluate DQC emulators.<n>We benchmark four representative emulators: Qiskit Aer, SquidASM, Interlin-q, and SQUANCH.
• Score: 1.031136645551641
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Scalable quantum computing requires architectural solutions beyond monolithic processors. Distributed quantum computing (DQC) addresses this challenge by interconnecting smaller quantum nodes through quantum communication protocols, enabling collaborative computation. While several experimental and theoretical proposals for DQC exist, emulator platforms are essential tools for exploring their feasibility under realistic conditions. In this work, we introduce a benchmarking framework to evaluate DQC emulators using a distributed implementation of the inverse Quantum Fourier Transform ($\mathrm{QFT}^{\dagger}$) as a representative test case, which enables efficient phase recovery from pre-encoded Fourier states. The QFT is partitioned across nodes using teleportation-based protocols, and performance is analyzed in terms of execution time, memory usage, and fidelity with respect to a monolithic baseline. As part of this work, we review a broad range of emulators, identifying their capabilities and limitations for programming distributed quantum algorithms. Many platforms either lacked support for teleportation protocols or required complex workarounds. Consequently, we select and benchmark four representative emulators: Qiskit Aer, SquidASM, Interlin-q, and SQUANCH. They differ significantly in their support for discrete-event simulation, quantum networking, noise modeling, and parallel execution. Our results highlight the trade-offs between architectural fidelity and simulation scalability, providing a foundation for future emulator development and the validation of distributed quantum protocols. This framework can be extended to support additional algorithms and emulators.

Related papers

• Scaling Hybrid Quantum-HPC Applications with the Quantum Framework [2.9218462389567823]
  Hybrid quantum-high performance computing is emerging as a key strategy for running quantum applications at scale.<n>We extend the Quantum Framework (QFw), a modular and HPC-aware orchestration layer, to integrate multiple local backends and a cloud-based quantum backend.<n>Using this integration, we execute a number of non-variational as well as variational workloads.
  arXiv  Detail & Related papers  (2025-09-17T22:58:43Z)
• A Framework for Quantum Data Center Emulation Using Digital Quantum Computers [4.4249067508724815]
  We propose a framework that emulates a distributed quantum computing system using a single quantum processor.<n>We introduce an experimentally grounded noise model based on quantum collision dynamics to quantify the interconnect-induced noise.<n>The framework is validated using IBM's quantum hardware, demonstrating the successful execution of remote gates.
  arXiv  Detail & Related papers  (2025-09-04T09:04:54Z)
• Quantum Executor: A Unified Interface for Quantum Computing [46.36953285198747]
  Quantum Executor is a backend-agnostic execution engine designed to orchestrate quantum experiments across heterogeneous platforms.<n>Key features include support for asynchronous and distributed execution, customizable execution strategies and a unified API for managing quantum experiments.
  arXiv  Detail & Related papers  (2025-07-10T09:55:32Z)
• Sequential Quantum Computing [41.94295877935867]
  We propose and experimentally demonstrate sequential quantum computing (SQC), a paradigm that utilizes multiple or heterogeneous quantum processors.<n>SQC overcomes the limitations of each type of quantum computer by combining their complementary strengths.<n>These results highlight SQC as a powerful and versatile approach for addressing complex quantum optimization problems.
  arXiv  Detail & Related papers  (2025-06-25T17:51:29Z)
• Comparing a Few Qubit Systems for Superconducting Hardware Compatibility and Circuit Design Sensitivity in Qiskit [0.0]
  This work implements three base circuits for different qubit systems in the simulator and corresponding 127-qubit IBM Sherbrooke superconducting quantum processing units (QPU)<n>It explores the tradeoff between generalizability, sensitivity of circuit design to parameters, noise resilience, resource planning, and efficient qubit usage insights.
  arXiv  Detail & Related papers  (2025-06-17T00:18:46Z)
• SparQSim: Simulating Scalable Quantum Algorithms via Sparse Quantum State Representations [3.7112784544167248]
  We present SparQSim, a quantum simulator implemented in C++ inspired by the Feynman-based method.<n>SparQSim operates at the register level by storing only the nonzero components of the quantum state.
  arXiv  Detail & Related papers  (2025-03-19T11:23:26Z)
• QSteed: Quantum Software of Compilation for Supporting Real Quantum Device [20.400502031534007]
  We present QSteed, a quantum compilation system that can be deployed on real quantum computing devices and quantum computing clusters.<n>It is designed to meet the challenges of effectively compiling quantum tasks and managing multiple quantum backends.
  arXiv  Detail & Related papers  (2025-01-13T00:59:27Z)
• QuIP: A P4 Quantum Internet Protocol Prototyping Framework [42.856299994841734]
  QuIP is a framework for designing and implementing quantum network protocols in a platform-agnostic fashion. It comes with the necessary tooling to enable their execution in existing quantum network simulators. We demonstrate its use by showcasing V1Quantum, a completely new device architecture, implementing a link- and network-layer protocol.
  arXiv  Detail & Related papers  (2024-06-20T17:47:07Z)
• Parallel Quantum Computing Simulations via Quantum Accelerator Platform Virtualization [44.99833362998488]
  We present a model for parallelizing simulation of quantum circuit executions. The model can take advantage of its backend-agnostic features, enabling parallel quantum circuit execution over any target backend.
  arXiv  Detail & Related papers  (2024-06-05T17:16:07Z)
• A Design Framework for the Simulation of Distributed Quantum Computing [2.969582361376132]
  Growing demand for large-scale quantum computers is pushing research on Distributed Quantum Computing (DQC) Recent experimental efforts have demonstrated some of the building blocks for such a design. DQC systems are clusters of quantum processing units connected by means of quantum network infrastructures.
  arXiv  Detail & Related papers  (2023-06-20T13:52:05Z)
• Cloud on-demand emulation of quantum dynamics with tensor networks [48.7576911714538]
  We introduce a tensor network based emulator, simulating a programmable analog quantum processing unit (QPU) The software package is fully integrated in a cloud platform providing a common interface for executing jobs on a HPC cluster as well as dispatching them to a QPU device.
  arXiv  Detail & Related papers  (2023-02-10T14:08:05Z)
• TensorCircuit: a Quantum Software Framework for the NISQ Era [18.7784080447382]
  Written purely in Python,Circuit supports automatic differentiation, just-in-time compilation, vectorized parallelism and hardware acceleration. Circuit can simulate up to 600 qubits with moderate depth and low-dimensional connectivity.
  arXiv  Detail & Related papers  (2022-05-20T11:23:30Z)
• Tensor Network Quantum Virtual Machine for Simulating Quantum Circuits at Exascale [57.84751206630535]
  We present a modernized version of the Quantum Virtual Machine (TNQVM) which serves as a quantum circuit simulation backend in the e-scale ACCelerator (XACC) framework. The new version is based on the general purpose, scalable network processing library, ExaTN, and provides multiple quantum circuit simulators. By combining the portable XACC quantum processors and the scalable ExaTN backend we introduce an end-to-end virtual development environment which can scale from laptops to future exascale platforms.
  arXiv  Detail & Related papers  (2021-04-21T13:26:42Z)
• Intel Quantum Simulator: A cloud-ready high-performance simulator of quantum circuits [0.0]
  We introduce the latest release of Intel Quantum Simulator (IQS), formerly known as qHiPSTER. The high-performance computing capability of the software allows users to leverage the available hardware resources. IQS allows to subdivide the computational resources to simulate a pool of related circuits in parallel.
  arXiv  Detail & Related papers  (2020-01-28T19:00:25Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.