# Quantum Computing Patent Landscape

**Use case:** 

Quantum computing patents by company: qubits, error correction, cryogenics and control systems. A field with a lot of announcements and much less filing, which makes the patent record a useful reality check on who is actually building.

## Input

```json
{
  "query": "quantum computing qubit",
  "assignees": [],
  "sinceYear": 2016,
  "country": "",
  "onlyGranted": false,
  "maxPatents": 120,
  "outputMode": "assignees",
  "minPatentsPerAssignee": 2
}
```

## Output

```json
{
  "assignee": {
    "label": "Company"
  },
  "totalMatchingFiled": {
    "label": "Total matching"
  },
  "patentsRead": {
    "label": "Patents read"
  },
  "trend": {
    "label": "Trend"
  },
  "whyTrend": {
    "label": "Why"
  },
  "filingsByPriorityYear": {
    "label": "Filings by year"
  },
  "filingsCountedExactly": {
    "label": "Exact counts"
  },
  "firstPriorityYear": {
    "label": "First filed"
  },
  "latestPriorityYear": {
    "label": "Last filed"
  },
  "internationalSharePercent": {
    "label": "International %"
  },
  "grantedSharePercent": {
    "label": "Granted %"
  },
  "topInventors": {
    "label": "Top inventors"
  },
  "recentPatents": {
    "label": "Recent filings"
  }
}
```

## About this Actor

This example demonstrates how to use [Patent Landscape Tracker: Who Is Patenting What](https://apify.com/precious_bathmat/patent-landscape-tracker.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/precious_bathmat/patent-landscape-tracker.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/precious_bathmat/patent-landscape-tracker.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).