Retour à The Introduction to Quantum Computing

étoiles

316 évaluations

•

105 avis

"Quantum Computing" is among those terms that are widely discussed but often poorly understood. The reasons of this state of affairs may be numerous, but possibly the most significant among them is that it is a relatively new scientific area, and it's clear interpretations are not yet widely spread. The main obstacle here is the word "quantum", which refers to quantum mechanics - one of the most counter-intuitive ways to describe our world.
But fear not! This is not a course on quantum mechanics. We will gently touch it in the beginning and then leave it apart, concentrating on the mathematical model of quantum computer, generously developed for us by physicists. This doesn't mean that the whole course is mathematics either (however there will be enough of it). We will build a simple working quantum computer with our bare hands, and we will consider some algorithms, designed for bigger quantum computers which are not yet developed.
The course material is designed for those computer scientists, engineers and programmers who believe, that there's something else than just HLL programming, that will move our computing power further into infinity.
Since the course is introductory, the only prerequisites are complex numbers and linear algebra. These two are required and they have to be enough.
Happy learning!...

HH

10 mai 2020

The course was very insightful. The only problem I faced was that the concepts were not neatly explained, I had to go back in the videos many times to understand. But an amazing course overall.

BP

23 févr. 2020

Heavily Packed course..Touched the tip of a huge iceberg named "Beauty of Mathematics" from this course..Thanks to Coursera and the team for this insightful journey of 5 weeks with you.

Filtrer par :

par Oke U

•21 août 2019

VERY disappointing quality course. I've taken many Coursera courses over the past 6 years and was initially eager to start this course, as quantum computing is one of my areas of interest.

However, this is the lowest quality course I've experienced so far. Instructor lacks any presentation energy - seems always tired, and is mumbling at some points, making it hard to understand his explanations. Several times I see him writing/annotating something in the video inset, and yet those annotations DO NOT APPEAR on the slides (main view) so it's very difficult to understand what he's trying to explain.

Finally, the quiz questions seem WAY harder than any material covered by him in the lectures. It's as if he gives students just very general information in the slides, and then throws difficult questions out there in the quiz - questions that can *barely* be solved using the information in the slides. The only reason I was able to get through the quizzes is because I have a background in electronic engineering and physics. Those students coming to this course without a physics background may find it very hard/impossible to get through the quizzes based solely upon the material presented in the slides.

Coursera, you've definitely dropped the ball on this one.

Please. You HAVE to do better that this.

par Deleted A

•7 mai 2019

The guy is bit hard to understand, which coupled with the pace of delivery (slow and monotonous) and his propensity to take figurative detours (i.e. sheep counting in chapter 2, couldn't be more appropriate!) will send you to sleep.

par Gordon L W C

•7 juin 2019

The course is very informative. But the mathematics is quite hard to follow even for a Physics undergraduate like me. The prerequisite of linear algebra actually means the knowledge of Hubert space and other advanced concepts which I think is quite complex for most non-science students. Also the quiz is quite challenging without the necessary guidance. It sometimes takes me multiple trial to see what is the correct answer. I think it would be much nicer if there are additional resources that we can read on for the harder questions in the quiz.

par Piotr Y

•11 nov. 2019

The first three weeks are quite interesting ones. Thank you very much to the lecturer for this exciting material. The lessons are well-groomed and I've been able to learn a lot of interesting things during them. However, the next two last weeks are just pure math symbolic manipulations with very tenuous physical sense and very little insight about what is going on. Tests questions are remotely linked to the lecture content and usually about general Mathematical knowledge. All in all I consider this course as a Math refresher and a useful bootstrap module which allows to gently read and understand more advanced literature about quantum computing in particular and quantum physics in general.

I'm giving this course only one star because I would quite strongly advice you against this lesson while the material for the last two weeks stays as is. I've passed this course with 99.2% (100% at all the first weeks, 96% at the last one) so this review doesn't come from somebody sad or angry to have failed.

par diemilio

•15 oct. 2019

Weeks 1, 2 and 3 are a great introduction to Quantum Computing! The instructor covers very clearly all of the subjects related to QC. I wish the background material could be either explained more clearly, or some additional references be provided. The exams during these weeks are difficult, but working through them enhances your understanding of the subject.

Weeks 4 and 5 are a completely different story. Unfortunately, it is as if the instructor completely forgot that the only prerequisites listed for the course were complex numbers, and linear algebra. If you are a slow learner (like I am), you better be prepared to spend at least an additional 10 hours per week searching for additional references to fully understand the material covered. Every topic related to QC the instructor covers extremely well; it is the supporting material and the mathematics needed to understand it that requires extra time. I think that there are other very interesting introductory subjects that could've been discussed (like quantum teleportation and error correction), instead of spending so much time on proofs and formalisms of the algorithms; those could be covered in a more advanced course.

In summary, I recommend this course if you have a good background in classical algorithms and/or math, or are willing to spend the extra time figuring out certain subjects that aren't clearly explained.

par Larry O

•3 sept. 2019

I disliked this course. It's quantum computing, so "difficult" is to be expected, but the material was made more challenging by the structure and delivery of the lectures. The pacing was frustrating, with some lectures often being too simplistic or digressive and then a sudden rush over important and complex math. The quizzes required some techniques that hadn't been explained (or at least not well-explained) in the lectures, I'm still not sure if I solved them in the "appropriate" way. Only reason I'm giving it two stars and not one is that the technical content is fundamentally solid.

par Mingcheng D

•14 sept. 2020

Please re-evaluate what students actually need and want to learn as a newbie!!!!!!

Please be aware that most students are not coming for math but for introductions !!!!!!!

Please elaborate more on a high-level concrete overview/summary on important concepts before deep diving into math !!!!!!!

Please make sure your explanation makes sense not only for yourself but also for more people !!!!!!!!

Please make sure the tests are well covered by the slides and notes, otherwise, share guidance!!!!!!!

Please do not ignore the questions from students !!!!!!!!

Please extend the duration of this course !!!!!!!!!

Please update the prerequisites of this course !!!!!!!

par Thiago C

•13 juil. 2020

The course has a very interesting topic, however the quizzes are not aligned with the content provided during the video classes. There should be information regarding the pre-requisites at the description of the course informing students of what background knowledge they should have before enrolling to this course.

In overall this course is very demotivating for beginners who are interested in learning more about QC. if the course is designed this way on purpose, then it should not be considered a beginner's level course.

par Abhirami P A

•17 mai 2020

it could be delivered a bit more energetically.The way of presentation is very dull and doesnt hook up students into the lecture due to the style of delivery.

par Juan M R

•30 avr. 2019

This course is mind-blowing and will drop you outside the box.

Course instructor Сысоев Сергей Сергеевич is a Russian, a world-class science man who will show you why the future belongs to quantum computers.

At the start this not make any sense and sound crazy, but there's a point when you understand the fact about how a qubit work, and different between qubit and bit.

After understanding the power of a quantum computer the future just looks so different as before.

This logic of branches and merges of possibilities in a quantum mechanism it is the gate of the gates.Th

If you mix the power of this whit anything, anything, the result is going to be disruptive, like medicine, finance, communications etc.

The humans will reach another state of development once we understand this better.

I will really like to say thanks to Saint Petersburg Uni and Coursera for put this course online.

The effort and quality in this course is extraordinary like audios, videos, examples, and neutral speak

par Martin V

•10 mai 2019

I consider the course very interesting from perspective of theoretical mathematics and at the same time practical from perspective of quantum computers programming.

The course is very nicely filling the gap between layman literature on quantum computing and scientific articles, or in other words, it is a "bridge" from amazament by quantum computers and simple knowledge that they exist to possiblity to use them for solving practical problems.

I appreciated "printed" materials which allowed me to follow the instructor's presentation easily. Moreover, the instructor has apparently very good command in English and he explains even very intracate aspects of the quantum computing comprehensibly. It was very important for me because English is not my native language.

par Bhanu P

•24 févr. 2020

Heavily Packed course..Touched the tip of a huge iceberg named "Beauty of Mathematics" from this course..Thanks to Coursera and the team for this insightful journey of 5 weeks with you.

par Marco G

•25 juil. 2019

More time should have been spent on explaining the blocks and the algorithms.

par Oscar d F

•31 janv. 2021

The first couple of weeks are ok (not exceptional, but ok). from week 3 on, everything is confused, explanations are not clear at all. The teacher never mentions what are the goals of the operations he is going to make.

Finally, quiz questions are often not answerable by only the knowledge acquired during lectures.

par José R T M

•16 sept. 2019

Hard to undestand and monotonous. The course if just informative, but it requires a lot of background on many topics to be finished.

par Vitor L d O S

•5 mars 2020

The professor is a little bit confuse and the course sometimes were structured badly

par Mohd F

•18 oct. 2019

Good course for the beginners, who want to dive into the mysterious world of quantum computing.

thankyou coursera & Sergey for his great effort...a big thumbs up

par Henk M

•28 juil. 2019

Great introduction and very clearly explained

par Learner | V | C

•8 mai 2019

A new glance at the universe, thank you!

par Joe L

•5 mars 2019

The math is brutal in places, but the course is generally clear, explanations are good, and the instructor is engaging.... could be improved by more time spent on the nature of quantum oracles, a little more review of the math needed

par Kasra A

•19 mai 2019

It's a really good course. The only problem is that the instructor is not very fluent in english.

par Mesum H

•13 févr. 2021

I feel very blessed to get access to such a course. If not for this course, I would have never gotten exposed to quantum computing. Although this course is pretty hard and I had to follow other resources along with it just to cope up with the course, when I returned back after learning the concept from so many youtube videos and webpages, I found that this course explained it in the best way and I just had to let it sink in. Keep on continuing is the key. Now I am looking forward to getting into the field of quantum computing. One major drawback of this course is that community is not that active, and even professors don't help much in the forum. I saw many questions unanswered for more than 9 months, and the lack of good resources out there make it even worse.....most of the time I wished I had someone to answer my questions. I found completing a course called 'Quantum computing less formulas more understanding' to be really helpful for understanding certain parts of this course.

First three weeks were easy to cope up with little effort but fourth and fifth week were significantly harder, because these two weeks actually introduce Shor's algorithm and Grover's algorithm which are the main reason for the popularity of this field.

Overall experience was very fulfilling and worth while.

par Armando P

•16 août 2019

I'm having a lot of fun. I graduated on physics 25 years ago but I have spent most of my life writing software. This course has given me the opportunity to undust some skills I used to have and, connect the dots between everything done until today ( classical computing ) and this new world that is coming. Now that you understand my motivation, here goes my review: The course is very good, clear, solid. Even for the people who don't have a background a physics. I'm struggling trying to finish the exercises before the deadline, so I think the sense of achievement will be great once done. As the professor said: Be ready to work hard! Thanks to everybody who put time on this initiative!

par Kumar H

•17 déc. 2019

This course is good from the perspective of topic it cover but need a lot of extra reading even though I have bachelor in theoretical physics and had strong foundation in quantum mechanics and computational science. However, the Russian version is much richer than English version. The quantum computing and quantum engineering is emerging field and there is need of more elaborated course with a recapitulation section of necessary background. But I enjoyed even though I struggled in few section (section 3 and section 4) to grasp the concept and finally within 3 days was able to finish all the requirements with 100% aggregate in all section.

par Thanura M

•9 déc. 2020

I registered in coursera to to this course. From the start to the end you don't loose the interest at any point. Really loved the way the lecturer demonstrated the DIY quantum computer and the explanation.

The assignments are also very helpful to go forward and had really fun with some good mathematics after my graduation.

I recommend this course to anyone with an interest with some radical thinking and early tech adopters. We need to make a difference to the world by craving new brain-unlocking courses like this.

Had a really great time. Thank you St. Peters berg University and coursera of course.

- Analyste de données Google
- Gestion de projet Google
- Conception d'expérience utilisateur Google
- Google IT Support
- Science des données IBM
- Analyste de données d'IBM
- Analyse des données IBM avec Excel et R
- Analyste de cybersécurité d'IBM
- Marketing appliqué au réseau social Facebook
- Développeur(euse) Cloud Full Stack IBM
- Sales Development Representative Salesforce
- Opérations de ventes Salesforce
- Soporte de Tecnologías de la Información de Google
- Certificado profesional de Suporte em TI do Google
- Automatisation informatique Google avec Python
- DeepLearning.AI Tensorflow
- Certifications populaires en cybersécurité
- Certifications SQL populaires
- Certifications populaires en informatique
- Voir tous les certificats

- cours gratuits
- Apprendre une langue
- python
- Java
- conception web
- SQL
- Cursos Gratis
- Microsoft Excel
- Gestion de projet
- Cybersécurité
- Ressources humaines
- Cours gratuits en Science de données
- parler anglais
- Rédaction de contenu
- Développement Web Full Stack
- Intelligence artificielle
- Programmation en C
- Compétences en communication
- Blockchain
- Voir tous les cours

- Compétences pour les équipes en charge de la science de données
- Prise de décisions basées sur les données
- Compétences en génie logiciel
- Compétences personnelles pour les équipes d'ingénieurs
- Compétences en gestion
- Compétences en marketing
- Compétences pour les équipes en charge des ventes
- Compétences en gestion de produits
- Compétences en finance
- Projets de développement Android
- Projets TensorFlow et Keras
- Le Python pour tous
- Deep Learning
- Compétences Excel pour l'entreprise
- Bases de la gestion d'entreprise
- Apprentissage automatique
- Principes de base d'AWS
- Fondements de l'ingénierie des données
- Compétences d'analyste de données
- Compétences pour un concepteur UX

- Certificats MasterTrack®
- Certificats Professionnels
- Certificats d'université
- MBA & diplômes commerciaux
- Diplômes en science des données
- Diplômes en informatique
- Diplômes en analyse des données
- Diplômes de santé publique
- Diplômes en sciences sociales
- Diplômes en gestion
- Diplômes des meilleures universités européennes
- Maîtrises
- Licences
- Diplôme avec un Parcours de performance
- Cours de BSc
- Qu'est-ce qu'une licence ?
- Combien de temps dure un Master ?
- Un MBA en ligne vaut-il le coup ?
- 7 façons de payer ses études supérieures
- Voir tous les diplômes