Qiskit

@qiskit · New York, NY · joined 27 Sep 2017

Qiskit is a quantum computing software development kit and open-source community of people who believe anyone can learn how to program a quantum computer.

28 382Followers

192Following

2 170Posts total

24.3KViews on collected posts

Последние посты

Qiskit@qiskit18 Sep

Join us Friday, 18 September 2026, from 12 pm to 1 pm EST for our reddit #AMA on r/askscience with Matthew Hollister, Head of Cryogenic Systems Engineering for @IBM Quantum: https://t.co/Po7HbJqtkW #IBM #QuantumComputing #engineering #cryogenics https://t.co/xRv1GvGq3o

12.1K views · 7 likes · 1 reposts · 0 replies Open on X →

Qiskit@qiskit18 Sep

@qiskit Love that the series starts with noise and errors. Looking forward to the error correction arc 🔧 4 views · 0 likes · 0 reposts · 0 replies Open on X →

Qiskit@qiskit17 Sep

In this series, we’ll focus on methods for handling quantum errors and noise, including error suppression, mitigation, and correction. Stay tuned. New episodes will be released over the next few weeks on the #Qiskit YouTube channel, and the full playlist will be available soon. 313 views · 1 likes · 0 reposts · 0 replies Open on X →

Qiskit@qiskit17 Sep

Introducing “Tools for Quantum Advantage,” a new course from IBM Quantum highlighting the tools necessary for getting the most out of modern quantum computers and bringing useful quantum computing to the world: https://t.co/VjVl3wu7iX https://t.co/Q0nUBN2m9C

4K views · 34 likes · 8 reposts · 3 replies Open on X →

Qiskit@qiskit8 Sep

The 2026 @IBM Quantum user survey is now open: https://t.co/jC2QKJ91ds Over the last two years, your input has helped us improve #Qiskit stability, expand documentation examples, and clarify learning experiences. Help us prioritize what's next. https://t.co/tZWwhoHc9g

2.5K views · 25 likes · 9 reposts · 0 replies Open on X →

Qiskit@qiskit16 Jul

Qiskit SDK v2.5 has landed! 🚀 This release strengthens the foundations with major improvements in performance, extensibility, and fault-tolerant compilation workflows. Explore the technical summary here: https://t.co/UvpjIHzpGT https://t.co/XkVKxtW9H7

2.4K views · 19 likes · 7 reposts · 0 replies Open on X →

Qiskit@qiskit21 Apr

Qiskit v2.4 is now available: https://t.co/7IIHRJc0UG The update strengthens Qiskit as a platform for real quantum workloads, with support for compiled Python extensions via the C API, faster QPY serialization, and improvements in Qiskit’s fault‑tolerant transpilation pipeline.

3K views · 38 likes · 14 reposts · 4 replies Open on X →

На фоне аккаунтов своего размера

6 постов за последние 90 дней рядом с диапазоном 10K–100K подписчиков. показывается широко, но откликается мало кто.

Медианные просмотры2 468этот аккаунт987медиана для 10K–100K

Охват, %8.70%этот аккаунт3.79%медиана для 10K–100K

Вовлечённость, %0.69%этот аккаунт1.52%медиана для 10K–100K

Показатель	Этот аккаунт	Медиана для 10K–100K	Отношение
Медианные просмотры на пост	2 468	987	2.50×
Охват (просмотры ÷ подписчики)	8.70%	3.79%	2.29×
Вовлечённость	0.69%	1.52%	0.45×

Другие в этом диапазоне → Сравнить с другим аккаунтом → Как считаются эти ориентиры →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

3K21 Apr

2.4K16 Jul

2.5K8 Sep

4K17 Sep

313

418 Sep

12.1K

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.89%21 Apr

1.06%16 Jul

1.41%8 Sep

1.13%17 Sep

0.32%

0.00%18 Sep

0.07%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes59.6%124 in total

Reposts18.8%39 in total

Replies3.4%7 in total

Quotes1.0%2 in total

Bookmarks17.3%36 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.