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Telegram profile photo for Quantum Machine Learning

Channel

Quantum Machine Learning

@QMLWorkshop

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

524subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001687014319
TypeChannel
Username@QMLWorkshop
CreatedBetween 1 December 2021 and 22 February 2022— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live8 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 8 August 2026
On Telegramt.me/QMLWorkshop

Growth

5247 Aug 2026, 04:47 — 524 subscribers8 Aug 2026, 03:26 — 524 subscribers7 Aug 2026, 04:478 Aug 2026, 03:26
2 measurements taken within a single day. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 523–525 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 03:26524no change
7 Aug 2026, 04:47524first reading

Engagement

20 posts held, back to 22 February 2022the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 24 February 2022. An engagement rate over an empty window would be a number about nothing.

Reaction mix

63 reactions across 19 posts, in 3 distinct kinds. The most used accounts for 61.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3961.9%
🔥2031.7%
😱46.35%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 19 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 63reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 22 February 2022 to 24 February 2022, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

24 Feb 2022, 13:24 UTC≈3,180 views8 reactionsread 7 August 2026
Photo

#گزارش_زنده_رویداد 🔸 Aram Harrow 🌐 https://qml.phanous.ir/ 🔹@QMLWorkshop

👍4🔥4

24 Feb 2022, 11:52 UTC≈3,000 views6 reactionsread 7 August 2026
Photo

#گزارش_زنده_رویداد 🔸 Richard Kueng 🌐 https://qml.phanous.ir/ 🔹@QMLWorkshop

👍6

24 Feb 2022, 10:47 UTC≈2,590 views4 reactionsread 7 August 2026
Photo

#گزارش_زنده_رویداد 🔸 Min-Hsiu Hsieh 🌐 https://qml.phanous.ir/ 🔹@QMLWorkshop

👍4

24 Feb 2022, 10:21 UTC≈2,260 views4 reactionsread 7 August 2026

📢 تا کمتر از ۱۰ دقیقه‌ دیگر با ادامه ارائه‌های جذاب روز سوم کارگاه کوانتوم ماشین لرنینگ در خدمت شما هستیم. 🌐 https://qml.phanous.ir/ 🔹@QMLWorkshop 🔸@EEResana

👍4

24 Feb 2022, 09:30 UTC≈2,210 views1 reactionsread 7 August 2026
Photo

🕰 برنامه‌ی زمانی کارگاه کوانتوم ماشین لرنینگ 📅 روز سوم؛ پنجشنبه ۵ اسفند ⏰ ساعت ۱۴:۰۰ 👤 Min-Hsiu Hsieh 🎙 Advanced Topics in Quantum Machine Learning 🗓 افزودن به تقویم ⏰ ساعت ۱۵:۱۰ 👤 Richard Kueng 🎙 Classical Shadows: Efficient Quantum-to-Classical Converters with Many Applications 🗓 افزودن به تقویم ⏰ ساعت ۱۶:۳۰ 👤 Aram Harrow 🎙 Hybrid Classical-Quantum Algorithms 🗓 افزودن به تقویم 🌐 https://qml.phanous.ir/ 🔹@QMLWor

👍1

24 Feb 2022, 07:52 UTC≈1,660 views3 reactionsread 7 August 2026
Photo

#گزارش_زنده_رویداد 🔸 Jacob Biamonte (PhD student Alexey Uvarov) 🌐 https://qml.phanous.ir/ 🔹@QMLWorkshop

🔥3

24 Feb 2022, 06:39 UTC≈1,520 views3 reactionsread 7 August 2026
Photo

#گزارش_زنده_رویداد 🔸 Vedran Dunjko 🌐 https://qml.phanous.ir/ 🔹@QMLWorkshop

🔥3

24 Feb 2022, 06:17 UTC≈1,430 viewsread 7 August 2026

📢 تا کمتر از ۱۵ دقیقه‌ دیگر با ارائه‌های جذاب روز سوم کارگاه کوانتوم ماشین لرنینگ در خدمت شما هستیم. 🌐 https://qml.phanous.ir/ 🔹@QMLWorkshop 🔸@EEResana

24 Feb 2022, 05:30 UTC≈1,410 views2 reactionsread 7 August 2026
Photo

🕰 برنامه‌ی زمانی کارگاه کوانتوم ماشین لرنینگ 📅 روز سوم؛ پنجشنبه ۵ اسفند ⏰ ساعت ۱۰:۰۰ 👤 Vedran Dunjko 🎙 Beyond Quantum Kernels, Beyond Supervised Learning 🗓 افزودن به تقویم ⏰ ساعت ۱۱:۱۰ 👤 Jacob Biamonte 🎙 On Barren Plateaus and Cost Function Locality in Variational Quantum Algorithms 🗓 افزودن به تقویم 🌐 https://qml.phanous.ir/ 🔹@QMLWorkshop 🔸@EEResana

👍2

23 Feb 2022, 13:12 UTC≈1,240 views1 reactionsread 7 August 2026
Photo

#گزارش_زنده_رویداد 🔸 Ali Hamed Moosavian 🌐 https://qml.phanous.ir/ 🔹@QMLWorkshop

👍1

23 Feb 2022, 11:54 UTC≈1,200 views2 reactionsread 7 August 2026
Photo

#گزارش_زنده_رویداد 🔸 Leila Taghavi - part 2 🌐 https://qml.phanous.ir/ 🔹@QMLWorkshop

👍2

23 Feb 2022, 10:52 UTC≈1,150 views3 reactionsread 7 August 2026
Photo

#گزارش_زنده_رویداد 🔸 Leila Taghavi - part 1 🌐 https://qml.phanous.ir/ 🔹@QMLWorkshop

🔥3

Showing the 12 most recent of 20 posts we hold for @QMLWorkshop. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 8 August 2026 — this entry's latest reading, not the date you are reading this.

“Quantum Machine Learning” (@QMLWorkshop), 524 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/QMLWorkshop.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.