|
7 | 7 | "title": "PennyLane", |
8 | 8 | "icon": "https://assets.cloud.pennylane.ai/docs/pennylane-logo.png", |
9 | 9 | "description": """\ |
10 | | - PennyLane is an open-source software framework for quantum |
11 | | - machine learning, quantum chemistry, and quantum computing, |
12 | | - with the ability to run on all hardware. Built with ❤️ by |
| 10 | + PennyLane is a cross-platform Python library for quantum computing, |
| 11 | + quantum machine learning, and quantum chemistry. Built by researchers, |
| 12 | + for research. Created with ❤️ by |
13 | 13 | <a href="https://xanadu.ai">Xanadu</a>. |
14 | 14 | """, |
15 | 15 | }, |
|
33 | 33 | ], |
34 | 34 | "footer_links": [ |
35 | 35 | { |
36 | | - "title": "For researchers", |
| 36 | + "title": "Research", |
37 | 37 | "links": [ |
38 | 38 | { |
39 | 39 | "name": "Research", |
40 | 40 | "href": "https://pennylane.ai/research", |
41 | 41 | }, |
42 | | - { |
43 | | - "name": "Features", |
44 | | - "href": "https://pennylane.ai/features", |
45 | | - }, |
46 | | - { |
47 | | - "name": "Demos", |
48 | | - "href": "https://pennylane.ai/qml/demonstrations", |
49 | | - }, |
50 | | - { |
51 | | - "name": "Compilation", |
52 | | - "href": "https://pennylane.ai/compilation", |
53 | | - }, |
54 | | - { |
55 | | - "name": "Datasets", |
56 | | - "href": "https://pennylane.ai/datasets", |
57 | | - }, |
58 | 42 | { |
59 | 43 | "name": "Performance", |
60 | 44 | "href": "https://pennylane.ai/performance", |
61 | 45 | }, |
62 | 46 | { |
63 | | - "name": "Learn", |
64 | | - "href": "https://pennylane.ai/qml", |
| 47 | + "name": "Hardware & Simulators", |
| 48 | + "href": "https://pennylane.ai/devices", |
65 | 49 | }, |
66 | 50 | { |
67 | | - "name": "Videos", |
68 | | - "href": "https://pennylane.ai/qml/videos", |
| 51 | + "name": "Demos", |
| 52 | + "href": "https://pennylane.ai/qml/demonstrations", |
69 | 53 | }, |
70 | 54 | { |
71 | | - "name": "Documentation", |
72 | | - "href": "https://docs.pennylane.ai/", |
| 55 | + "name": "Quantum Compilation", |
| 56 | + "href": "https://pennylane.ai/compilation", |
73 | 57 | }, |
74 | 58 | { |
75 | | - "name": "Teach", |
76 | | - "href": "https://pennylane.ai/education", |
| 59 | + "name": "Quantum Datasets", |
| 60 | + "href": "https://pennylane.ai/datasets", |
77 | 61 | }, |
78 | 62 | ], |
79 | 63 | }, |
80 | 64 | { |
81 | | - "title": "For learners", |
| 65 | + "title": "Education", |
82 | 66 | "links": [ |
| 67 | + { |
| 68 | + "name": "Teach", |
| 69 | + "href": "https://pennylane.ai/education", |
| 70 | + }, |
83 | 71 | { |
84 | 72 | "name": "Learn", |
85 | 73 | "href": "https://pennylane.ai/qml", |
|
89 | 77 | "href": "https://pennylane.ai/codebook", |
90 | 78 | }, |
91 | 79 | { |
92 | | - "name": "Teach", |
93 | | - "href": "https://pennylane.ai/education", |
| 80 | + "name": "Coding Challenges", |
| 81 | + "href": "https://pennylane.ai/challenges", |
94 | 82 | }, |
95 | 83 | { |
96 | 84 | "name": "Videos", |
97 | 85 | "href": "https://pennylane.ai/qml/videos", |
98 | 86 | }, |
99 | | - { |
100 | | - "name": "Challenges", |
101 | | - "href": "https://pennylane.ai/challenges", |
102 | | - }, |
103 | | - { |
104 | | - "name": "Demos", |
105 | | - "href": "https://pennylane.ai/qml/demonstrations", |
106 | | - }, |
107 | | - { |
108 | | - "name": "Compilation", |
109 | | - "href": "https://pennylane.ai/compilation", |
110 | | - }, |
111 | 87 | { |
112 | 88 | "name": "Glossary", |
113 | 89 | "href": "https://pennylane.ai/qml/glossary", |
114 | 90 | }, |
115 | 91 | ], |
116 | 92 | }, |
117 | 93 | { |
118 | | - "title": "For developers", |
| 94 | + "title": "Software", |
119 | 95 | "links": [ |
| 96 | + { |
| 97 | + "name": "Install PennyLane", |
| 98 | + "href": "https://pennylane.ai/install", |
| 99 | + }, |
120 | 100 | { |
121 | 101 | "name": "Features", |
122 | 102 | "href": "https://pennylane.ai/features", |
|
126 | 106 | "href": "https://docs.pennylane.ai", |
127 | 107 | }, |
128 | 108 | { |
129 | | - "name": "API", |
130 | | - "href": "https://docs.pennylane.ai/en/stable/code/qml.html", |
131 | | - }, |
132 | | - { |
133 | | - "name": "GitHub", |
134 | | - "href": "https://github.com/PennyLaneAI/pennylane", |
| 109 | + "name": "Catalyst Compilation Docs", |
| 110 | + "href": "https://docs.pennylane.ai/projects/catalyst/en/stable/", |
135 | 111 | }, |
136 | 112 | { |
137 | | - "name": "Datasets", |
138 | | - "href": "https://pennylane.ai/datasets", |
139 | | - }, |
140 | | - { |
141 | | - "name": "Demos", |
142 | | - "href": "https://pennylane.ai/qml/demonstrations", |
| 113 | + "name": "Development Guide", |
| 114 | + "href": "https://docs.pennylane.ai/en/stable/development/guide.html", |
143 | 115 | }, |
144 | 116 | { |
145 | | - "name": "Compilation", |
146 | | - "href": "https://pennylane.ai/compilation", |
147 | | - }, |
148 | | - { |
149 | | - "name": "Performance", |
150 | | - "href": "https://pennylane.ai/performance", |
151 | | - }, |
152 | | - { |
153 | | - "name": "Devices", |
154 | | - "href": "https://pennylane.ai/devices", |
| 117 | + "name": "API", |
| 118 | + "href": "https://docs.pennylane.ai/en/stable/code/qml.html", |
155 | 119 | }, |
156 | 120 | { |
157 | | - "name": "Catalyst", |
158 | | - "href": "https://docs.pennylane.ai/projects/catalyst/en/latest/", |
| 121 | + "name": "GitHub", |
| 122 | + "href": "https://github.com/PennyLaneAI/pennylane", |
| 123 | + "external": True, |
159 | 124 | }, |
160 | 125 | ], |
161 | 126 | }, |
162 | 127 | ], |
163 | 128 | "footer_social_icons": [ |
164 | 129 | { |
165 | | - "name": "Twitter", |
166 | | - "icon": "bx bxl-twitter", |
167 | | - "href": "https://twitter.com/PennyLaneAI", |
| 130 | + "name": "LinkedIn", |
| 131 | + "icon": "bxl bx-linkedin", |
| 132 | + "href": "https://linkedin.com/company/xanaduai/", |
168 | 133 | }, |
169 | 134 | { |
170 | 135 | "name": "GitHub", |
171 | | - "icon": "bx bxl-github", |
| 136 | + "icon": "bxl bx-github", |
172 | 137 | "href": "https://github.com/PennyLaneAI/pennylane", |
173 | 138 | }, |
174 | 139 | { |
175 | | - "name": "Discord", |
176 | | - "icon": "bx bxl-discord", |
177 | | - "href": "https://discord.com/invite/gnySM3nrN3", |
| 140 | + "name": "YouTube", |
| 141 | + "icon": "bxl bx-youtube", |
| 142 | + "href": "https://www.youtube.com/@pennylaneai/", |
178 | 143 | }, |
179 | 144 | { |
180 | | - "name": "LinkedIn", |
181 | | - "icon": "bx bxl-linkedin", |
182 | | - "href": "https://linkedin.com/company/xanaduai/", |
| 145 | + "name": "Twitter", |
| 146 | + "icon": "bxl bx-twitter-x", |
| 147 | + "href": "https://twitter.com/PennyLaneAI", |
183 | 148 | }, |
184 | 149 | { |
185 | | - "name": "Discourse", |
186 | | - "icon": "bx bxl-discourse", |
187 | | - "href": "https://discuss.pennylane.ai", |
| 150 | + "name": "Discord", |
| 151 | + "icon": "bxl bx-discord", |
| 152 | + "href": "https://discord.com/invite/gnySM3nrN3", |
188 | 153 | }, |
189 | 154 | { |
190 | | - "name": "YouTube", |
191 | | - "icon": "bx bxl-youtube", |
192 | | - "href": "https://www.youtube.com/@pennylaneai/", |
| 155 | + "name": "Slack", |
| 156 | + "icon": "bxl bx-slack", |
| 157 | + "href": "https://join.slack.com/t/xanadu-quantum/shared_invite/zt-1i8v8v49d-S76QxXm3OKCm9g0bvWvDpg", |
193 | 158 | }, |
194 | 159 | { |
195 | | - "name": "Slack", |
196 | | - "icon": "bx bxl-slack", |
197 | | - "href": "https://xanadu-quantum.slack.com/join/shared_invite/zt-nkwn25v9-H4hituCb_PUj4idG0MhSug#/shared-invite/email", |
| 160 | + "name": "Discourse", |
| 161 | + "icon": "bxl bx-discourse", |
| 162 | + "href": "https://discuss.pennylane.ai", |
198 | 163 | }, |
199 | 164 | ], |
200 | 165 | "footer_taglines": [ |
|
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