Pith. sign in

REVIEW 2 cited by

Simulating Quantum Systems with NWQ-Sim on HPC

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2401.06861 v1 pith:HBCUIAZO submitted 2024-01-12 quant-ph

In-Saeng Suh , Ang Li This is my paper · ORCID
classification quant-ph
keywords nwq-simquantummodelsimulatingalgorithmscircuitsisingperformance
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

NWQ-Sim is a cutting-edge quantum system simulation environment designed to run on classical multi-node, multi-CPU/GPU heterogeneous HPC systems. In this work, we provide a brief overview of NWQ-Sim and its implementation in simulating quantum circuit applications, such as the transverse field Ising model. We also demonstrate how NWQ-Sim can be used to examine the effects of errors that occur on real quantum devices, using a combined device noise model. Moreover, NWQ-Sim is particularly well-suited for implementing variational quantum algorithms where circuits are dynamically generated. Therefore, we also illustrate this with the variational quantum eigensolver (VQE) for the Ising model. In both cases, NWQ-Sim's performance is comparable to or better than alternative simulators. We conclude that NWQ-Sim is a useful and flexible tool for simulating quantum circuits and algorithms, with performance advantages and noise-aware simulation capabilities.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Coupled Cluster Downfolding Theory in Simulations of Chemical Systems on Quantum Hardware

    quant-ph 2025-07 accept novelty 5.0 of 10

    A coupled-cluster downfolding pipeline (QRDR) computes effective Hamiltonians in small active spaces and solves them with quantum algorithms, recovering about 98% of CCSD(T) correlation energy for benzene and free-bas...

  2. GPU-Accelerated Distributed QAOA on Large-scale HPC Ecosystems

    cs.DC 2025-06 conditional novelty 4.0 of 10

    GPU-accelerated DQAOA with impact-factor based decomposition runs up to 10x faster than CPU simulations on Frontier, with better scaling up to 160 devices.

Pith tools