100억 년이 걸려도 못 푸는 문제를 5분 만에 푸는 양자컴퓨터의 위력 | 과학을 보다 EP.141
Published September 6, 2025
At a glance
Views
1,812,643
Likes
17,473
Comments
1,046
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
오늘은 ‘과학을 보다’에서 4인의 과학자와 함께 ‘양자컴퓨터의 위력’에 대해 이야기 나눠봤습니다. ✅오늘의 출연자 1.MC 정영진🎙️ 2.물리학자 김범준 교수🍞 3.천문학자 우주먼지 교수🚀 4.미생물학자 김응빈 교수🦠 5.물리학자 채은미 교수💻 ✅타임라인 00:00 오프닝 04:15 온몸이 깃털인 비둘기도 더위를 느낄까? 07:21 별마다 표면 온도가 제각각인 이유 12:47 제임스 웹에 계속 찍히는 정체불명의 빨간 점 19:04 양자컴퓨터가 완성되는 순간 전 세계가 마비되는 이유 23:57 양자컴퓨터가 기존 컴퓨터를 무너뜨리는 이유 36:25 양자컴퓨터…
- Published
- September 6, 2025
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How 100억 년이 걸려도 못 푸는 문제를 5분 만에 푸는 양자컴퓨터의 위력 | 과학을 보다 EP.141 is doing
It has 1.81M views in total. It ranks #3,392,080 among tracked YouTube videos by views.
Key facts about 100억 년이 걸려도 못 푸는 문제를 5분 만에 푸는 양자컴퓨터의 위력 | 과학을 보다 EP.141
- Total views
- 1.81M
- Total likes
- 17.4K
- Total comments
- 1.04K
- Published
- September 6, 2025
- Global rank by views
- #3,392,080
Frequently asked questions
How many views does 100억 년이 걸려도 못 푸는 문제를 5분 만에 푸는 양자컴퓨터의 위력 | 과학을 보다 EP.141 have?
100억 년이 걸려도 못 푸는 문제를 5분 만에 푸는 양자컴퓨터의 위력 | 과학을 보다 EP.141 has 1,812,643 views, 17,473 likes and 1,046 comments, ranking #3,392,080 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per 24 hours without an account — logging in, which is also free, removes that limit entirely.