cirq

cirq is a skill for Claude Code, Codex from Zaoqu-Liu/ScienceClaw. It costs 67 tokens per session (2,563 once invoked), scanned A, a copy of cirq, MIT.

A Python framework from Google for designing, simulating, and running quantum circuits, programs that operate on quantum bits.

In plain words
What is it for?
It helps create and measure circuits, simulate them locally, model hardware noise, and run circuits through Google Quantum Engine, IonQ, AQT, Pasqal, or Azure Quantum.
Why use it?
It removes the need to implement basic circuit construction and simulation yourself. It also provides connections to several quantum-computing hardware providers.

Skill for Claude CodeCodex

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

Good fit It helps create and measure circuits, simulate them locally, model hardware noise, and run circuits through Google Quantum Engine, IonQ, AQT, Pasqal, or Azure Quantum.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zaoqu-liu/scienceclaw/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 Zaoqu-Liu/ScienceClaw --skill cirq
Clone the repo
git clone --depth 1 https://github.com/Zaoqu-Liu/ScienceClaw

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/zaoqu-liu/scienceclaw/cirq.svg)](https://agentmods.dev/skills/zaoqu-liu/scienceclaw/cirq)
Your own site
<a href="https://agentmods.dev/skills/zaoqu-liu/scienceclaw/cirq"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/cirq.svg" alt="Measured on agentmods" 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 2,563 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.
Origin 94% copy Near-identical to another mod 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 $0.02563
Opus 5 $0.00034 $0.01282
Sonnet 5 $0.00013 $0.00513
Haiku 4.5 $0.00007 $0.00256

Measured 8d ago against content hash 072b61477427, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, 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 8d 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

This is a copy

94% identical to cirq — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/cirq/SKILL.md · 346 lines

How it starts

The opening of the file, as written. The whole thing — 346 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 · 346 lines

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. 8d ago First seen · 346 lines · 67 tokens per session scan A 072b61477427

Subscribe to this mod's changes

cirq is a skill published in the GitHub repository Zaoqu-Liu/ScienceClaw (60 stars, last pushed 5mo ago), licensed MIT. It adds 67 tokens to every session and 2,563 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to cirq, differing in 3 lines, and is treated as a copy.

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