{% extends "base.html" %}

{% block extrahead %}
  {# ── Canonical URL ── #}
  {% if page and page.canonical_url %}
  <link rel="canonical" href="{{ page.canonical_url }}" />
  {% endif %}

  {# ── Per-page meta description (falls back to site description) ── #}
  {% if page and page.meta and page.meta.description %}
  <meta name="description" content="{{ page.meta.description }}" />
  {% else %}
  <meta name="description" content="{{ config.site_description }}" />
  {% endif %}

  {# ── Per-page keywords ── #}
  {% if page and page.meta and page.meta.keywords %}
  <meta name="keywords" content="{{ page.meta.keywords }}" />
  {% else %}
  <meta name="keywords" content="quantum computing, quantum error mitigation, NISQ, qiskit, trajectory filter, post-selection, Bell pair, score fusion, qgate" />
  {% endif %}

  {# ── Open Graph ── #}
  <meta property="og:type" content="website" />
  <meta property="og:title" content="{{ page.title if page else config.site_name }} — qgate" />
  <meta property="og:description" content="{{ page.meta.description if page and page.meta and page.meta.description else config.site_description }}" />
  {% if page and page.canonical_url %}
  <meta property="og:url" content="{{ page.canonical_url }}" />
  {% endif %}
  <meta property="og:site_name" content="qgate — Quantum Trajectory Filter" />
  <meta property="og:image" content="{{ config.site_url }}assets/images/experiments/grover-prob-vs-iterations.png" />
  <meta property="og:image:width" content="1200" />
  <meta property="og:image:height" content="630" />
  <meta property="og:image:alt" content="qgate TSVF trajectory filtering: 7.3x Grover search improvement on IBM Fez quantum hardware" />

  {# ── Twitter Card ── #}
  <meta name="twitter:card" content="summary_large_image" />
  <meta name="twitter:title" content="{{ page.title if page else config.site_name }} — qgate" />
  <meta name="twitter:description" content="{{ page.meta.description if page and page.meta and page.meta.description else config.site_description }}" />
  <meta name="twitter:image" content="{{ config.site_url }}assets/images/experiments/grover-prob-vs-iterations.png" />
  <meta name="twitter:image:alt" content="qgate TSVF trajectory filtering: 7.3x Grover search improvement on IBM Fez quantum hardware" />

  {# ── JSON-LD Organization Schema ── #}
  <script type="application/ld+json">
  {
    "@context": "https://schema.org",
    "@type": "SoftwareApplication",
    "name": "qgate",
    "description": "{{ config.site_description | replace('"', '\\"') }}",
    "url": "{{ config.site_url }}",
    "applicationCategory": "DeveloperApplication",
    "operatingSystem": "Cross-platform",
    "author": {
      "@type": "Person",
      "name": "Ran Buchnik",
      "email": "ranbuch@gmail.com"
    },
    "license": "https://ranbuch.github.io/qgate-trajectory-filter/license/",
    "codeRepository": "https://github.com/ranbuch/qgate-trajectory-filter",
    "programmingLanguage": "Python"
  }
  </script>

  {# ── JSON-LD FAQ (only on pages that define faq in front matter) ── #}
  {% if page and page.meta and page.meta.faq %}
  <script type="application/ld+json">
  {
    "@context": "https://schema.org",
    "@type": "FAQPage",
    "mainEntity": [
      {% for item in page.meta.faq %}
      {
        "@type": "Question",
        "name": "{{ item.q | replace('"', '\\"') }}",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "{{ item.a | replace('"', '\\"') }}"
        }
      }{% if not loop.last %},{% endif %}
      {% endfor %}
    ]
  }
  </script>
  {% endif %}
{% endblock %}