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Welcome to “Understanding Quantum Computers.” I’m Rodney D. Van Meter, of Keio University’s Faculty of Environment and Information Studies. I’m Takahiko Satoh, of Keio University’s Graduate School of Media and Governance. We are going to be your educators for this fascinating topic and we hope to get you through it using almost no math. By now, you have heard about quantum computers. Quantum computers have appeared quite a bit in recent science fiction. ‘Self-Reference Engine’, by Toh Enjoe, is one of my favorites, so is ‘Death’s End’, by Liu Cixin. They have appeared in many others, including manga such as Eden. The representations aren’t always accurate, but at least they heighten interest in the topic.
One of these may even be the reason that you are here. The story often goes something like this. Brilliant scientists in exotic labs are using the spookiest, most obscure effects of quantum mechanics to build science fiction computers, capable of practically anything. Quantum computers are going to break your encrypted internet connection. They are going to create an artificial intelligence that thinks at warp speed. Quantum networks are going to help us communicate faster than the speed of light and teleport objects, like, the transporter in ‘Star Trek’. Well, that’s not quite true.
In fact, faster-than-light communication is still impossible even using quantum mechanics and teleportation of objects looks to be impractical, though we do know how to teleport quantum information, still not faster than the speed of light, of course. Of all of these popular ideas, the only one that has some really solid basis is that quantum computers will impact the use of encryption. Quantum computing is going to change the world, and after three decades of research, practical systems may be just around the corner. We will discuss the motivation for building quantum computers, qualitatively cover the important principles in quantum computing and take a look at some of the most important quantum computing algorithms.
We are going to learn how quantum computers can help chemists with their computations. Many companies need to optimize something. Their use of resources such as employee’s time or material for manufacturing. Finding a route on a map is also an optimization problem. We will see where computers can and cannot help with problems like these. We will finish with a brief look at quantum computing hardware and the budding quantum computer information technology industry. This course is ideal for high school juniors and seniors and college freshmen and sophomores looking for a topic of study as well as practicing computer professionals interested in learning about one of technology’s most exciting topics.
Lay people with an interest in popular science will have no problem keeping up. The field lies at the intersection of computer science, physics and mathematics. Being able to conduct research at the leading edge, as in any field, requires a lot of intense preparation but in this course, we will help you take the first steps in understanding the topic whether you hope to work in the area or are just curious. Fortunately, we won’t go into the mathematics, beyond what you have already learned in high school. If you know what a sine wave is, can multiply to get powers of two, can add two vectors, and know enough probability to talk about rolling dice, you know enough to get through this course.
Imaginary numbers will make a cameo appearance, but you really don’t need to know anything serious about them. On the computer science end, it is helpful if you know how to count in binary, but that’s about it. No physics background is assumed beyond a rough idea of what photons, electrons and atoms are. So, let’s get started!


全てのビデオは日本語字幕をオンにして視聴することができます。ビデオ開始後右下に出るピンクのマークで言語を選択してください。また、第1週のコンテンツの日本語版PDFは、このページの一番下にある DOWNLOAD というセクションにございますのでご利用ください。











当然のことながら、週あたり数時間のこのコースだけでは、量子コンピュータの初歩的なところまでしか学習できません。コース終了後も更に学びたい方のための参考書籍や関連コースを、コース最後の記事「4.25 更に学びたい方へ」に準備しましたので、参照して下さい。コースの途中でより深く学習したくなった場合にも、いつでも参考にしてください。


このコースは慶應義塾大学のRodney Van Meter教授と佐藤貴彦助教が担当します。

Educators and Organizers 左からRodney Van Meterさんと佐藤 貴彦さんです。

コース中は慶應義塾大学の大川 恵子教授と慶應 Future Learnチームの安井 元規さんに加え、バンミーター研から松尾 賢明さん、西尾 真さんの2人の生徒がサポートしています。



  • 各週の最初のステップの DOWNLOADS から、その週の講義のPDFをダウンロードすることができます。
  • 用語集を用意しています。用語集は、このページの下部にある DOWNLOADS の部分から、PDFで取得することが可能です。もし用語集に存在しない単語で、追加してほしい単語がありましたら、そのセクションにその旨のコメントをお願いします。
  • 各ステップが終わるごとに、Mark as completeを押して、完了を報告してください。
  • 初めてFutureLearnを利用する方は、どのようにコースを進めていくのが良いのか、”Using Futurelearn”というページを見てみてください。


私たちは、オンライン学習において教育者や学習者の人となり、背景を知ることで学習に対してどのような効果・影響が出るかということを研究しています。 これらのビデオはその研究の一部です。





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