Practical Guide to Quantum Computing: Building Noise Models with IBM Quantum Simulators # 4
Fuente:
Zenodo
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Recurso digital |
| Sprache: | Russisch |
| Veröffentlicht: |
Zenodo
2026
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866901071114272768 |
|---|---|
| author | Pavlov, Mikhail |
| author_facet | Pavlov, Mikhail |
| contents | <h2><strong>Abstract</strong></h2> <p>This practical guide presents methods for constructing <strong>noise models</strong> using the <strong>Qiskit Aer</strong> noise module within the <strong>IBM Q</strong> ecosystem. The objective is to simulate quantum circuits under realistic error conditions, enabling accurate emulation of noisy quantum processors.</p> <p>The guide demonstrates how to:</p> <ul> <li> <p>Use the <strong>Qiskit Aer noise module</strong> to define custom noise models.</p> </li> <li> <p>Incorporate gate errors, readout errors, and decoherence effects into simulations.</p> </li> <li> <p>Apply noise channels (e.g., depolarizing, amplitude damping, phase damping).</p> </li> <li> <p>Attach noise models to quantum circuit simulations.</p> </li> <li> <p>Analyze how noise affects algorithm performance and output distributions.</p> </li> </ul> <p>Building noise models is essential for studying the behavior of quantum algorithms in the <strong>NISQ (Noisy Intermediate-Scale Quantum)</strong> era. It allows researchers to evaluate algorithm robustness, optimize circuit depth, and test error mitigation strategies before execution on real IBM Quantum hardware.</p> <p>This approach provides a bridge between ideal theoretical circuits and physically realistic quantum devices, enhancing the reliability and applicability of quantum computing experiments.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18865210 |
| institution | Zenodo |
| language | rus |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Practical Guide to Quantum Computing: Building Noise Models with IBM Quantum Simulators # 4 Pavlov, Mikhail Quantum computing; IBM Q; Qiskit Aer; noise models; quantum error simulation; depolarizing noise; amplitude damping; phase damping; readout error; quantum circuit simulation; NISQ; error mitigation; quantum algorithm analysis; noisy quantum processors. <h2><strong>Abstract</strong></h2> <p>This practical guide presents methods for constructing <strong>noise models</strong> using the <strong>Qiskit Aer</strong> noise module within the <strong>IBM Q</strong> ecosystem. The objective is to simulate quantum circuits under realistic error conditions, enabling accurate emulation of noisy quantum processors.</p> <p>The guide demonstrates how to:</p> <ul> <li> <p>Use the <strong>Qiskit Aer noise module</strong> to define custom noise models.</p> </li> <li> <p>Incorporate gate errors, readout errors, and decoherence effects into simulations.</p> </li> <li> <p>Apply noise channels (e.g., depolarizing, amplitude damping, phase damping).</p> </li> <li> <p>Attach noise models to quantum circuit simulations.</p> </li> <li> <p>Analyze how noise affects algorithm performance and output distributions.</p> </li> </ul> <p>Building noise models is essential for studying the behavior of quantum algorithms in the <strong>NISQ (Noisy Intermediate-Scale Quantum)</strong> era. It allows researchers to evaluate algorithm robustness, optimize circuit depth, and test error mitigation strategies before execution on real IBM Quantum hardware.</p> <p>This approach provides a bridge between ideal theoretical circuits and physically realistic quantum devices, enhancing the reliability and applicability of quantum computing experiments.</p> |
| title | Practical Guide to Quantum Computing: Building Noise Models with IBM Quantum Simulators # 4 |
| topic | Quantum computing; IBM Q; Qiskit Aer; noise models; quantum error simulation; depolarizing noise; amplitude damping; phase damping; readout error; quantum circuit simulation; NISQ; error mitigation; quantum algorithm analysis; noisy quantum processors. |
| url | https://doi.org/10.5281/zenodo.18865210 |