[PR #2920] [MERGED] Add cirq #8942

New Issue

GiteaMirror · 2026-04-18T22:57:08-05:00

GiteaMirror commented

2026-04-18 22:57:08 -05:00

📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/2920
Author: @dakshp26
Created: 2/18/2026
Status: ✅ Merged
Merged: 2/19/2026
Merged by: @JinyangWang27

Base: master ← Head: dakshp26-add-cirq

📝 Commits (1)

062545c add cirq library to quantum computing section

📊 Changes

1 file changed (+1 additions, -0 deletions)

View changed files

📝 README.md (+1 -0)

📄 Description

Project

Cirq

Checklist

One project per PR
PR title format: Add cirq
Entry format: * [Cirq](https://github.com/quantumlib/Cirq) - Google-developed framework for creating, editing, and running NISQ quantum circuits with hardware-aware design.
Description is concise and short

Why This Project Is Awesome

Which criterion does it meet? (pick one)

Industry Standard - The go-to tool for a specific use case
Rising Star - 5000+ stars in < 2 years, significant adoption
Hidden Gem - Exceptional quality, solves niche problems elegantly

Explain: Cirq is the main open-source quantum framework from Google Quantum AI. It is widely used for NISQ (Noisy Intermediate-Scale Quantum) research, with strong support for hardware-aware circuits, noise modeling, parameterized circuits, and integration with Google’s quantum hardware. With ~4.9k GitHub stars and active development, it is a standard tool for quantum algorithm research and hardware experiments.

How It Differs

If similar entries exist, what makes this one unique?

Qiskit is IBM-focused and emphasizes broad hardware support and transpilation. PennyLane targets quantum machine learning and differentiable circuits. QuTiP focuses on quantum dynamics and open quantum systems. Cirq is built for NISQ-era hardware: it emphasizes hardware-aware circuit design, noise modeling, and integration with Google’s quantum hardware. It is distinct from the others in its NISQ focus and hardware-oriented abstractions.

_{🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.}

## 📋 Pull Request Information **Original PR:** https://github.com/vinta/awesome-python/pull/2920 **Author:** [@dakshp26](https://github.com/dakshp26) **Created:** 2/18/2026 **Status:** ✅ Merged **Merged:** 2/19/2026 **Merged by:** [@JinyangWang27](https://github.com/JinyangWang27) **Base:** `master` ← **Head:** `dakshp26-add-cirq` --- ### 📝 Commits (1) - [`062545c`](https://github.com/vinta/awesome-python/commit/062545c83bf29437537c014c29dcbb89bb689f9b) add cirq library to quantum computing section ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description ## Project [Cirq](https://github.com/quantumlib/Cirq) ## Checklist - [x] One project per PR - [x] PR title format: `Add cirq` - [x] Entry format: `* [Cirq](https://github.com/quantumlib/Cirq) - Google-developed framework for creating, editing, and running NISQ quantum circuits with hardware-aware design.` - [x] Description is concise and short ## Why This Project Is Awesome Which criterion does it meet? (pick one) - [x] **Industry Standard** - The go-to tool for a specific use case - [ ] **Rising Star** - 5000+ stars in < 2 years, significant adoption - [ ] **Hidden Gem** - Exceptional quality, solves niche problems elegantly **Explain:** Cirq is the main open-source quantum framework from Google Quantum AI. It is widely used for NISQ (Noisy Intermediate-Scale Quantum) research, with strong support for hardware-aware circuits, noise modeling, parameterized circuits, and integration with Google’s quantum hardware. With ~4.9k GitHub stars and active development, it is a standard tool for quantum algorithm research and hardware experiments. ## How It Differs If similar entries exist, what makes this one unique? **Qiskit** is IBM-focused and emphasizes broad hardware support and transpilation. **PennyLane** targets quantum machine learning and differentiable circuits. **QuTiP** focuses on quantum dynamics and open quantum systems. **Cirq** is built for NISQ-era hardware: it emphasizes hardware-aware circuit design, noise modeling, and integration with Google’s quantum hardware. It is distinct from the others in its NISQ focus and hardware-oriented abstractions. --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>

GiteaMirror added the pull-request label 2026-04-18 22:57:08 -05:00

GiteaMirror closed this issue

2026-04-18 22:57:09 -05:00

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Reference: github-starred/awesome-python#8942