cirq

cirq is a skill for Claude Code, Codex from LeonChaoX/qinyan-academic-skills. It costs 67 tokens per session (2,403 once invoked), scanned A, original, MIT.

A Python framework for designing and simulating quantum circuits, which are programs made for quantum computers. It can also connect circuits to hardware from Google and other providers.

In plain words
What is it for?
Use it to create low-level quantum circuits, run simulations, design noise-aware circuits, and perform quantum hardware characterisation experiments.
Why use it?
It gives you a consistent way to build and test quantum programs before running them on real quantum machines. It also helps model the effects of hardware noise.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create low-level quantum circuits, run simulations, design noise-aware circuits, and perform quantum hardware characterisation experiments.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/leonchaox/qinyan-academic-skills/cirq
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add LeonChaoX/qinyan-academic-skills --skill cirq
Clone the repo
git clone --depth 1 https://github.com/LeonChaoX/qinyan-academic-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for cirq

README.md
[![agentmods](https://agentmods.dev/badge/skills/leonchaox/qinyan-academic-skills/cirq/github.svg)](https://agentmods.dev/skills/leonchaox/qinyan-academic-skills/cirq)
Your own site
<a href="https://agentmods.dev/skills/leonchaox/qinyan-academic-skills/cirq"><img src="https://agentmods.dev/badge/skills/leonchaox/qinyan-academic-skills/cirq/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for cirq

Your own site · 80×15
<a href="https://agentmods.dev/skills/leonchaox/qinyan-academic-skills/cirq"><img src="https://agentmods.dev/badge/skills/leonchaox/qinyan-academic-skills/cirq.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,403 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00067 $0.02403
Opus 5 $0.00034 $0.01202
Sonnet 5 $0.00013 $0.00481
Haiku 4.5 $0.00007 $0.00240

Measured 9d ago against content hash 807365eac4be, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

cirq scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

6 near-identical copies found in the catalogue:

  • cirq — 100% identical, 2 lines differ
  • cirq — 98% identical, 2 lines differ
  • cirq — 94% identical, 3 lines differ
  • cirq — 94% identical, 3 lines differ
  • cirq — 94% identical, 3 lines differ
  • cirq — 91% identical, 6 lines differ
skills/10-材料科学与物理计算/cirq/SKILL.md · 345 lines

How it starts

The opening of the file, as written. The whole thing — 345 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cirq - Quantum Computing with Python

Cirq is Google Quantum AI's open-source framework for designing, simulating, and running quantum circuits on quantum computers and simulators.

Installation

uv pip install cirq

For hardware integration:

# Google Quantum Engine
uv pip install cirq-google

# IonQ
uv pip install cirq-ionq

# AQT (Alpine Quantum Technologies)
uv pip install cirq-aqt

# Pasqal
uv pip install cirq-pasqal

# Azure Quantum
uv pip install azure-quantum cirq

Quick Start

Basic Circuit

import cirq
import numpy as np

# Create qubits
q0, q1 = cirq.LineQubit.range(2)

# Build circuit
circuit = cirq.Circuit(
    cirq.H(q0),              # Hadamard on q0
    cirq.CNOT(q0, q1),       # CNOT with q0 control, q1 target
    cirq.measure(q0, q1, key='result')
)

print(circuit)

# Simulate
simulator = cirq.Simulator()
result = simulator.run(circuit, repetitions=1000)

# Display results
print(result.histogram(key='result'))

Parameterized Circuit

import sympy

# Define symbolic parameter
theta = sympy.Symbol('theta')

# Create parameterized circuit
circuit = cirq.Circuit(
    cirq.ry(theta)(q0),
    cirq.measure(q0, key='m')
)

# Sweep over parameter values
sweep = cirq.Linspace('theta', start=0, stop=2*np.pi, length=20)
results = simulator.run_sweep(circuit, params=sweep, repetitions=1000)

# Process results
for params, result in zip(sweep, results):
    theta_val = params['theta']
    counts = result.histogram(key='m')
    print(f"θ={theta_val:.2f}: {counts}")

Core Capabilities

Circuit Building

For comprehensive information about building quantum circuits, including qubits, gates, operations, custom gates, and circuit patterns, see:

Common topics:

  • Qubit types (GridQubit, LineQubit, NamedQubit)
  • Single and two-qubit gates
  • Parameterized gates and operations
  • Custom gate decomposition
  • Circuit organization with moments
  • Standard circuit patterns (Bell states, GHZ, QFT)
  • Import/export (OpenQASM, JSON)
  • Working with qudits and observables

Read the full file on GitHub · 345 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 345 lines · 67 tokens per session scan A 807365eac4be

Subscribe to this mod's changes

cirq is a skill published in the GitHub repository LeonChaoX/qinyan-academic-skills (883 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 2,403 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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