BEST video on internet / TH-cam that finally explains how a PRACTICAL, real world "Quantum computer" works, the steps, and process of how to create (translate from digital to analog digits) , calculate , and store/return (display) values (states) in the QC. By using a pulse source, and using the very cold setting for reducing/eliminating noise, and then providing a readout of what was asked of the system, the QC provides a new way of calculating such exponential values.
This is the best video so far, I am a high school student with absolutely no background in physics. Except for the hardware and superconducting qubit part, which was hard to understand for me, the other parts of this video are explained very clearly and easily to understand . Now I'm very interested in learning related physics knowledge and try to understand the hardware part. 😁
Thank you very much! If you are interested in the algorithm part, you can take a look at this playlist th-cam.com/play/PLnK6MrIqGXsJfcBdppW3CKJ858zR8P4eP.html&feature=shared. For physics, indeed it is a little bit more demanding. We have a playlist here but might be too much for a high school student. th-cam.com/play/PLnK6MrIqGXsL1KShnocSdwNSiKnBodpie.html
I only have the lecture notes for this series to share now. th-cam.com/play/PLnK6MrIqGXsJfcBdppW3CKJ858zR8P4eP.html You can find here: github.com/hywong2/Intro_to_Quantum_Computing
@quantum_computing Heya! I tried to access the lecture notes, but I am unable to access them. Git shows that the files are too big to be shown, and also when I click on "view raw", even then, I don't see anything. So, now, I can neither view, nor download the ppts. Can you please help me
A lot of guys commented here from each of you I wanna know and specially from professor also that up to now what I observed/analysed that currently there is all most way less to negligible application of this new theoretical framework which is quantum computing. But yes I have seen some places where quantum inspired algorithms which actually runs on classical hardware is practically useful and also industry is using but it's also very limited because of the design of this theoretical framework or may be some what different but again it's not completely quantum because it's does not runs on Quantum computer just using it's fancy and well designed mathematics. And again there is also one more concern performance which is not even better than classical in some cases which this field claim to be better.I am just skeptical, just try to question so that I feel motivated in this field and also if possible going to motivate some one even if it's just getting backlash because of all these things. Means I just want to know opinions from you people what you found insightful and interesting and as well in which specific area of research you people are to exploit the usage of this technology.
There are still a lot of issues to be solved. But at this moment, they are not impossible to be solved. Therefore, it is still promising. One cannot always predict what will happen to a technology. In the 1950s, silicon was not as promising as vacuum tubes or even germanium. But turns out it was the winner. What I tell my students is that there are a lot of intersections between traditional EE and QC. You can try to learn both at the same time. Take a look at this slide th-cam.com/video/Ur2AlvT_gmI/w-d-xo.htmlfeature=shared&t=1009
Thank you. What do you think of optical computing? Could this be a technology that has more potential? If so, how long out would you think that technology is?
@thenavigator5889, thanks for watching. Optical computing can be classical (using an optical method for binary computing) or quantum computing (photonic quantum computers). To be frank, I have no answer to your questions. Photonic QC is supposed to be more robust to noise (they can work well at room temperature except in detection, they need cryogenic to have high resolution and low dark current). But the reason they are robust also means the photons do not interact with each other well (you can pass two beams of light across each other and they are not altered). So it is also more difficult to make a 2-qubit quantum gate in that sense.
at 4:43 you said compressed the 16 bit to represent the one of the state .why it so ? because there are 16 states individually with different complex number or( state amplitude) why we compressed for one state. i think we have to compress 4 bit for one of the state. if i am wrong please correct .thank you
This was what I meant: With 4 qubits, we have 16 basis states. But in quantum mechanics, we may have states that are the linear combination of the basis states. So, we are not doing any compression. This is just like, if there is 1 qubit, I have 2 basis states |0> and |1>. And I can also have other states like |a> = 1/sqrt{2}(|0>+|1>) or 1/sqrt{2}(|0>-|1>) or 1/sqrt{2}(|0>+i|1>) or others. Please let me know if it is not clear. Thanks!
@@quantum_computing thank you for kindness response .i got it . actually i am doing my research work in the QEC specially to design or improvement in existing code so if you help in this, i will be thank full for your. please provide any contact. thank you
While representing the quantum basis, you have subscripted "10" in them. Is that supposed to imply the original ket bases 1 and 0 or is there some other implication of that?
@Bindusmita_Das For 1 qubit, the basis states are only |0> and |1>. For two qubits, they are |0>|0>, |0>|1>, |1>|0>, and |1>|1> (permutation, tensor product of two 1-qubit basis). We can write it succinctly as |00>, |01>, |10>, and |11>. Do I answer your question? If not please let me know which slide (time) you are referring to. Thanks!
@@quantum_computing I was actually asking about the slide where you have compared between classical and quantum computing registers. In the quantum case, the subscript is 10, just like 2 in binary. I was asking about that.
@@Bindusmita_Das I see. So you are referring to slide 11 4:15? The subscript is actually ten. It means I am writing the content in the ket in the decimal system. E.g. if it has 3 qubits, instead of writing |111>_2, I write it as |7>_10 where the number after _ is the subscript.
The PowerPoint of this presentation is not available for sharing yet. However, you can download the teaching slides from Github github.com/hywong2/Intro_to_Quantum_Computing for my book: www.amazon.com/Introduction-Quantum-Computing-Layperson-Programmer/dp/303136984X. This contains some of the slides you see here.
It says, "It is believed 74% of the mass of the Milky Way, for example, is in the form of hydrogen atoms. The Sun contains approximately 1057 atoms of hydrogen. If you multiply the number of atoms per star (1057) times the estimated number of stars in the universe (1023), you get a value of 1080 atoms in the known universe."
BEST video on internet / TH-cam that finally explains how a PRACTICAL, real world "Quantum computer" works, the steps, and process of how to create (translate from digital to analog digits) , calculate , and store/return (display) values (states) in the QC. By using a pulse source, and using the very cold setting for reducing/eliminating noise, and then providing a readout of what was asked of the system, the QC provides a new way of calculating such exponential values.
Best video on quantum computing found so far!!
Thanks for watching!
This is an awesome presentation, so is also the book
I tried to click to admit the people in the waiting room hahahahaha
@Ingles2023 I am glad that you are so engaged 🙂
This is the best video so far, I am a high school student with absolutely no background in physics. Except for the hardware and superconducting qubit part, which was hard to understand for me, the other parts of this video are explained very clearly and easily to understand . Now I'm very interested in learning related physics knowledge and try to understand the hardware part. 😁
Thank you very much! If you are interested in the algorithm part, you can take a look at this playlist th-cam.com/play/PLnK6MrIqGXsJfcBdppW3CKJ858zR8P4eP.html&feature=shared. For physics, indeed it is a little bit more demanding. We have a playlist here but might be too much for a high school student. th-cam.com/play/PLnK6MrIqGXsL1KShnocSdwNSiKnBodpie.html
@@quantum_computing thank you for providing these resources
Very informative presentation, thanks a lot❤
@exciton007 Thank you for watching!
Its a wonderful video about the quantum computing and information. Thank you so much sir 🙏🙏. It helped me lot to clarify my basic doubts.
Thank you very much, @vssambhaje!
Nice explanation
Thank you, @user-uj2oy9ye2w!
Thank you for the lectures!! Could I get the lecture notes??
I only have the lecture notes for this series to share now. th-cam.com/play/PLnK6MrIqGXsJfcBdppW3CKJ858zR8P4eP.html You can find here: github.com/hywong2/Intro_to_Quantum_Computing
@quantum_computing Heya! I tried to access the lecture notes, but I am unable to access them. Git shows that the files are too big to be shown, and also when I click on "view raw", even then, I don't see anything. So, now, I can neither view, nor download the ppts. Can you please help me
@@monodriver001 You need to download it. Please click at "Code" (the green button) and choose "Download ZIP". Thanks!
A lot of guys commented here from each of you I wanna know and specially from professor also that up to now what I observed/analysed that currently there is all most way less to negligible application of this new theoretical framework which is quantum computing. But yes I have seen some places where quantum inspired algorithms which actually runs on classical hardware is practically useful and also industry is using but it's also very limited because of the design of this theoretical framework or may be some what different but again it's not completely quantum because it's does not runs on Quantum computer just using it's fancy and well designed mathematics. And again there is also one more concern performance which is not even better than classical in some cases which this field claim to be better.I am just skeptical, just try to question so that I feel motivated in this field and also if possible going to motivate some one even if it's just getting backlash because of all these things. Means I just want to know opinions from you people what you found insightful and interesting and as well in which specific area of research you people are to exploit the usage of this technology.
There are still a lot of issues to be solved. But at this moment, they are not impossible to be solved. Therefore, it is still promising. One cannot always predict what will happen to a technology. In the 1950s, silicon was not as promising as vacuum tubes or even germanium. But turns out it was the winner. What I tell my students is that there are a lot of intersections between traditional EE and QC. You can try to learn both at the same time. Take a look at this slide th-cam.com/video/Ur2AlvT_gmI/w-d-xo.htmlfeature=shared&t=1009
Thank you.
What do you think of optical computing? Could this be a technology that has more potential? If so, how long out would you think that technology is?
@thenavigator5889, thanks for watching. Optical computing can be classical (using an optical method for binary computing) or quantum computing (photonic quantum computers). To be frank, I have no answer to your questions. Photonic QC is supposed to be more robust to noise (they can work well at room temperature except in detection, they need cryogenic to have high resolution and low dark current). But the reason they are robust also means the photons do not interact with each other well (you can pass two beams of light across each other and they are not altered). So it is also more difficult to make a 2-qubit quantum gate in that sense.
Best title ever
at 4:43 you said compressed the 16 bit to represent the one of the state .why it so ? because there are 16 states individually with different complex number or( state amplitude) why we compressed for one state. i think we have to compress 4 bit for one of the state. if i am wrong please correct .thank you
This was what I meant: With 4 qubits, we have 16 basis states. But in quantum mechanics, we may have states that are the linear combination of the basis states. So, we are not doing any compression. This is just like, if there is 1 qubit, I have 2 basis states |0> and |1>. And I can also have other states like |a> = 1/sqrt{2}(|0>+|1>) or 1/sqrt{2}(|0>-|1>) or 1/sqrt{2}(|0>+i|1>) or others. Please let me know if it is not clear. Thanks!
@@quantum_computing thank you for kindness response .i got it . actually i am doing my research work in the QEC specially to design or improvement in existing code so if you help in this, i will be thank full for your. please provide any contact. thank you
@@vikramsinghthakur1456 I am not an expert in QEC. Hopefully, you can find useful information and material from the Web.
@@quantum_computing thank yo for kindness
How programming the Quantum Cat swarm optimization algorithm ?
Finally I did it 💪
can i talk to you about how to follow up this thing?
While representing the quantum basis, you have subscripted "10" in them. Is that supposed to imply the original ket bases 1 and 0 or is there some other implication of that?
@Bindusmita_Das For 1 qubit, the basis states are only |0> and |1>. For two qubits, they are |0>|0>, |0>|1>, |1>|0>, and |1>|1> (permutation, tensor product of two 1-qubit basis). We can write it succinctly as |00>, |01>, |10>, and |11>. Do I answer your question? If not please let me know which slide (time) you are referring to. Thanks!
@@quantum_computing I was actually asking about the slide where you have compared between classical and quantum computing registers. In the quantum case, the subscript is 10, just like 2 in binary. I was asking about that.
@@Bindusmita_Das I see. So you are referring to slide 11 4:15? The subscript is actually ten. It means I am writing the content in the ket in the decimal system. E.g. if it has 3 qubits, instead of writing |111>_2, I write it as |7>_10 where the number after _ is the subscript.
@@quantum_computing Got it. Thank you:)
I want ppt notes in this video to download
I need your ppt notes
to download
The PowerPoint of this presentation is not available for sharing yet. However, you can download the teaching slides from Github github.com/hywong2/Intro_to_Quantum_Computing for my book: www.amazon.com/Introduction-Quantum-Computing-Layperson-Programmer/dp/303136984X. This contains some of the slides you see here.
yo this is actually insane bruh i am losing it im only like 3 minutes in
Let me know which part is not clear. I can try to explain more. Thanks!
15:09
1:00
@24:50
this is just a “come back and watch it again” button
I like your accent.
I actually thought it was that guy that says EMOTIONAL DAMAGE😁
Hold on, I want to know they counted all the atoms in the universe!
I found this: www.thoughtco.com/number-of-atoms-in-the-universe-603795#:~:text=It%20is%20believed%2074%25%20of,atoms%20in%20the%20known%20universe.
It says, "It is believed 74% of the mass of the Milky Way, for example, is in the form of hydrogen atoms. The Sun contains approximately 1057 atoms of hydrogen. If you multiply the number of atoms per star (1057) times the estimated number of stars in the universe (1023), you get a value of 1080 atoms in the known universe."
@@quantum_computing what about all the planets though?
@@itsjustajokejeez Probably they are much smaller than the stars/suns and are neglected.