pith. sign in

arxiv: 2411.12131 · v1 · pith:4HKSKRF7new · submitted 2024-11-19 · 🪐 quant-ph · cs.CC· cs.ET

Empowering Large Scale Quantum Circuit Development: Effective Simulation of Sycamore Circuits

classification 🪐 quant-ph cs.CCcs.ET
keywords quantumcircuitscircuitclassicaldeveloperslargesimulationsystems
0
0 comments X
read the original abstract

Simulating quantum systems using classical computing equipment has been a significant research focus. This work demonstrates that circuits as large and complex as the random circuit sampling (RCS) circuits published as a part of Google's pioneering work [4-7] claiming quantum supremacy can be effectively simulated with high fidelity on classical systems commonly available to developers, using the universal quantum simulator included in the Quantum Rings SDK, making this advancement accessible to everyone. This study achieved an average linear cross-entropy benchmarking (XEB) score of 0.678, indicating a strong correlation with ideal quantum simulation and exceeding the XEB values currently reported for the same circuits today while completing circuit execution in a reasonable timeframe. This capability empowers researchers and developers to build, debug, and execute large-scale quantum circuits ahead of the general availability of low-error rate quantum computers and invent new quantum algorithms or deploy commercial-grade applications.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

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

  1. Family-Aware Residual Architecture for Predicting Quantum Circuit Simulation Performance

    quant-ph 2026-06 unverdicted novelty 4.0

    Family-conditioned residual neural network predicts approximation thresholds and runtimes for tensor-network quantum circuit simulation from OpenQASM, achieving 79.5% exact accuracy and R²=0.82.