Skip to content
Best Place To BuildBest Place To Build

Quantum Mechanics, qubits, superposition & superconductors with Prof. Prabha Mandayam | BP2B S2 E11

Join Prof. Prabha Mandayam on the Best Place to Build Podcast for a deep dive into how a Quantum Computer differ from a Classical Computer. What are Qubits, Quantum States, and Quantum Algorithms? How are Shor’s Algorithm and Grover’s Algorithm changing the future of computing? With this episode, we welcome you to step into the world of Quantum Processors, Quantum Gates, and cutting-edge concepts such as Entanglement, Decoherence, and Quantum Error Correction. What You’ll Learn: * The difference between a Classical Bit and a Quantum Bit (Qubit) * How Transistors and Binary Operations paved the way for modern computing * Types of Qubits: Superconducting Qubits, Photonic Qubits, Trapped Ion Qubits, Neutral Atom Qubits * The challenge of Noise, Decoherence, and why Error Correction matters * How Quantum Communication, Quantum Key Distribution (QKD), and Post-Quantum Cryptography (PQC) are shaping the future of cybersecurity * Emerging fields like Quantum Sensing and Variational Quantum Algorithms Tech giants like Google and IBM, along with research hubs such as IIT Madras, are pushing the boundaries of quantum innovation. Who will win the race to build a practical Quantum Processor? Whether you’re a beginner curious about the basics or a tech enthusiast exploring advanced Quantum Computing concepts, this episode breaks it down in simple, clear terms. Check out Prof. Prabha’s NPTEL lecture here: https://nptel.ac.in/courses/106106232 Department of Physics, IIT Madras: https://physics.iitm.ac.in/academics/engineeringphysics.html Head over to your favourite chapter here: 00:00 Introduction 00:50 Welcome to BP2B 01:30 Introducing Prof Prabha Mandayam 02:05 What is Quantum Computing? 05:00 Quantum Mechanics visualised 15:00 The Origin of Quantum Mechanics Studies - Photonics 101 16:20 The History of Quantum Mechanics | Algorithms Explained 22:00 What is Quantum Decoherence? 26:15 Google & IBM’s Experiments With Quantum Computation 31:50 Classical v/s Quantum Error Corrections 33:33 The No-Cloning Theory 37:50 Will We All Have Quantum Computers in Our Hands? 40:00 The Maths Behind it All 42:30 Variational Quantum Algorithms 44:50 The Interdisciplinary Nature of Quantum Computational Studies 49:30 Quantum Research in India 55:20 How Did Prof Prabha Get into Quantum Mechanics? 01:04:05 Do Women Pursue Quantum Computing Studies? 01:10:00 Closing Thoughts

Prabha Mandayamguest
Oct 10, 20251h 11mWatch on YouTube ↗

EVERY SPOKEN WORD

  1. 0:000:50

    Introduction

    1. PM

      [upbeat music] It's too much information.

    2. SP

      I'm going, I'm going, I'm going to share what I understood. [chuckles]

    3. PM

      Yeah.

    4. SP

      I'm sure I'm wrong.

    5. PM

      But imagine the coin in flight, and let's say you capture it in a box as it is in flight. That's a quantum state. So I should tell you that I was one of those people in 2000 who actually did not write the JEE exam.

    6. SP

      Okay.

    7. PM

      So, you know, I have never thought about this as is there a, you know, career path here? Is there-

    8. SP

      Mm.

    9. PM

      It's more about what has interested me. Last year, with Google's, like, 100 qubit experiment, it has more or less come. That's like a first proof of principle that you can put 100 qubits on a chip. You can connect them all up in some way that makes them resilient to this error. Take your friend's notes, right, the night before the exam, and make a copy of the entire notebook. No, not possible. So you cannot copy quantum information.

    10. SP

      Hi,

  2. 0:501:30

    Welcome to BP2B

    1. SP

      this is Amrit. We are at IIT Madras, my alma mater, and India's top university for people who like to build. We are here to meet some builders, ask them: What are you building? What does it take to build? And what makes IIT Madras the best place to build? [upbeat music] Hello, and welcome to the Best Place to Build Podcast. Today, we are sitting with Professor Prabha Mandayam, a renowned physicist and a faculty here

  3. 1:302:05

    Introducing Prof Prabha Mandayam

    1. SP

      at the Physics Department at IIT Madras. Her area of interest is quantum information and error correction. She's an author of a book, Functional Analysis of Quantum Information Theory, and her NPTEL lectures on quantum computing are very popular. You can see I'm looking into my notes, so I know nothing about this subject, so it's an opportunity for me to learn. Welcome to the podcast, Professor.

    2. PM

      Thank you, Amrit. Thank you for having me here.

    3. SP

      Uh, Professor, I don't know anything about this, so, um, it's a challenge I'm offering to you. [chuckles] Please, can you tell me about quantum computing in the next half an hour, so that I can survive the next ten years?

    4. PM

      [chuckles] Um, yes.

  4. 2:055:00

    What is Quantum Computing?

    1. PM

      Uh, certainly, I will try. So, um, okay, so quantum computing, as the name suggests, is that you try to compute with objects, physical objects, that are truly quantum in nature, right? So a very, um, simple example that, uh, or a simple picture that I can give you is, uh, a kind of geometric picture to contrast how a quantum bit will be different from a classical bit, right? So we- in classical computers, you know that we encode in zeros and ones, right?

    2. SP

      Correct.

    3. PM

      Classical communication is zeros and ones, right? Yeah.

    4. SP

      Yeah, so in, in what I know of classical computers is that, um, we convert everything to binary. There are a set of binary operations-

    5. PM

      Correct

    6. SP

      ... a set of algorithms-

    7. PM

      Yeah

    8. SP

      ... that work on those binary operations.

    9. PM

      Yeah.

    10. SP

      At the same time, on the physical side, there's this thing called a transistor-

    11. PM

      Right

    12. SP

      ... which mimics a bit, a zero, one state.

    13. PM

      Right.

    14. SP

      So we build a physical hardware-

    15. PM

      Sure

    16. SP

      ... based on transistors, which can do these computes.

    17. PM

      Absolutely. So now, instead of this humble zero, one, you imagine now a sphere, a ball, and then you put the zero and one at the two poles of the sphere. So zero could be at the North Pole, one could, uh, be at the South Pole, right? But now, instead of just having these two points, um, in which you can transcribe information, you now have all the points on the surface of the sphere.

    18. SP

      Okay.

    19. PM

      So that's what quantum does, right? If you, instead of encoding into the zeros and ones, if you encode into a quantum state-

    20. SP

      Okay

    21. PM

      ... then that means that you somehow have access to the entire surface of the sphere, and not just two points on the surface of the sphere. So you can imagine that the space that you have to now read in, put in information, has exploded, because you've gone from just two points to an infinity of points on the surface of the sphere. And the way this happens is through this magical word called superposition.

    22. SP

      Okay, so, so far I've understood that I can imagine a sphere which tra- which rotates, and any po- any position of that would be a number between zero and one, which is a infinite number of numbers.

    23. PM

      Correct. So you, rather than think of it as a number between zero and one, you should actually think of it as, uh... Don't think of the sphere as moving or anything, just think of a static sphere.

    24. SP

      Okay.

    25. PM

      So how do I identify any point on the surface of this sphere? I need two angles, right? I need a latitude and a longitude, like the surface of the Earth. To identify any point on the surface of the Earth, I need a latitude, which is the angle with, like, one axis, and then the longitude, which is like, you kind of project onto a, the equatorial plane, and then you have the longitude, right? So now, these are two numbers, two angles, right? And these angles go between, like, zero to , zero to . Right? So with these two angles, you can identify this infinity of points.

    26. SP

      Okay.

    27. PM

      And so a quantum state is that. Basically, it's like identifying a point on the surface of the sphere,

  5. 5:0015:00

    Quantum Mechanics visualised

    1. PM

      where one point corresponds to your classical bit zero, the other point corresponds to classical bit one, but now you have all these different possibilities in between, and that's what superposition does for you. It allows you the ability to be somewhere in between a zero and a one state.

    2. SP

      Okay.

    3. PM

      I can think of zero as an off state and one as an on state, right? And quantum allows for the possibility that you could be in either, uh, the on state with some probability, or the off state with some probability. The other way to think about it is a coin toss, where your coin, um, imagine it's in flight-

    4. SP

      Right

    5. PM

      ... as you're tossing it. But once it is tossed, it's either head or tail. There's nothing in between. But imagine the coin in flight, and let's say you capture it in a box as it is in flight. That's a quantum state in a very, very loose sense. I mean, I'm not being very, uh-

    6. SP

      Fair enough. So if I, if I take a high-speed photograph, pho- photo at any point, that will be at some point.

    7. PM

      Yeah, yeah. So you can imagine that if I... It's, it's like I tossed, but I kind of-... you know, toss it and put it in a box.

    8. SP

      Okay.

    9. PM

      So now I don't know whether it's gonna land head or tail.

    10. SP

      Okay.

    11. PM

      But-- and it's not a fair coin, okay? It's a biased coin, which means there is some non-trivial probability of landing head and non-trivial probability of landing tail, not, uh, fifty percent.

    12. SP

      Okay.

    13. PM

      Fifty percent would be one, uh, such state-

    14. SP

      Option

    15. PM

      ... one option. But so now you have all these possible states with all these different possibilities, uh, probabilities for head and tail.

    16. SP

      Okay, so this is a qubit?

    17. PM

      This is a qubit.

    18. SP

      Okay.

    19. PM

      A quantum bit. And now you imagine computing with these quantum bits, right? So now, a task that I do on a classical computer, I have to encode in either zero or one, or in some string of zeros and ones.

    20. SP

      Right.

    21. PM

      But now I have the option of encoding in these in-between states.

    22. SP

      Okay.

    23. PM

      Okay? So imagine a simple task. I give you a binary function, okay? And I say, uh, "Is this function, uh, constant or balanced?" Okay, I'm getting a little bit technical here. Constant meaning f of, uh, the, the function value for bit zero is the same as the function value for bit one. Balanced means the function value for bit zero is different from the function value for bit one.

    24. SP

      Okay.

    25. PM

      Now, you have to tell me, is the function constant or balanced? And I give, first give you a classical calculator. So you punch in zero, and you find out what the answer is. You punch in one, you find out what the answer is. So you have to query this... You have to kind of use this classical box-

    26. SP

      Yeah

    27. PM

      ... twice. But in place of that, if I give you a quantum box, I give you a quantum processor.

    28. SP

      Mm.

    29. PM

      And I give you the ability to prepare these in-between quantum states. Now, you can input a state which is a superposition of zero and one.

    30. SP

      Okay.

  6. 15:0016:20

    The Origin of Quantum Mechanics Studies - Photonics 101

    1. PM

      the photoelectric effect was first discovered.

    2. SP

      Mm.

    3. PM

      Which is when you were literally probing this, you know, single particle kind of interaction. You had an electron-

    4. SP

      The slit experiments.

    5. PM

      The double-slit, yes, but no, this is when you, um, shine, uh, light and you release a single electron out, right? And this is what then led Einstein to, uh, formulate the idea of photon, that light ex- can, uh, the, uh, energy, uh, levels of, uh, light exist in these integer, um, numbers of a basic quantity, and that the basic energy quantity is a, is what we call a photon, right? And then you have, like, integer number of photons, and so on, right? So this quantization of light, right, uh, happened in 1905, right?

    6. SP

      Mm.

    7. PM

      That's when Einstein came up with this theory of photoelectric effect, uh, the idea of h nu, uh, the energy being of a single photon being h nu, and all that, right?

    8. SP

      Can I, can I just summarize? So far, you've, uh, explained to me what is a qubit. You've explained to me what is superposition, and, uh, then we are having this conversation of why it's called quantum, because it came from-

    9. PM

      Quantum mechanics

    10. SP

      ... quantum mechanics.

    11. PM

      Yeah.

    12. SP

      Uh, and, uh-

    13. PM

      Yeah

    14. SP

      ... the, the starting point is [keyboard clicking] nominally, like you have to decide some starting point, so it's the-

    15. PM

      Schrodinger equation, then it's 100 years, yeah.

    16. SP

      Great.

    17. PM

      It's 100 years of Schrodinger equation. I just want to

  7. 16:2022:00

    The History of Quantum Mechanics | Algorithms Explained

    1. PM

      say that the idea of quantum computing-

    2. SP

      Yeah

    3. PM

      ... is about 40 years old now.

    4. SP

      Okay.

    5. PM

      So it was in the 1980s, um, is a physicist in Oxford by name David Deutsch. So the problem that I explained to you of this, uh, identifying whether a function is constant or balanced, this is called a Deutsch problem. So he was the one who came up with this toy problem, where you could then show that using quantum mechanics, you actually achieve a speed-up over what you can do classically. And this, this little algorithm sort of way of doing it is what's called Deutsch algorithm. So it's the first quantum algorithm, which-

    6. SP

      So-

    7. PM

      Yeah

    8. SP

      ... to go from, um, you know, these really complicated papers that Schrodinger, Einstein, Heisenberg are writing, to something that all of us should care about, the, the step there you are saying is important, is the fact that it can compute much, much faster than a classical computer?

    9. PM

      Exactly. Exactly.

    10. SP

      Okay.

    11. PM

      Exactly.

    12. SP

      So that is why we should care about it.

    13. PM

      Exactly. Absolutely, yeah. So, um, the problem that I mentioned is a toy problem, but sometime in the '90s, early '90s, a mathematician by name Peter Shor at MIT, showed that you can factor- you can identify the prime factors of a number exponentially faster than the best classical algorithm to date, the best classical algorithm, if you had a quantum computer. So he came up with a quantum algorithm that can factor numbers exponentially faster, and this made everybody sit up and take notice. Deutsch's work was not really noticed, because that was a toy problem. Okay, that's a cute thing, but who cares about the toy problem? But factoring, because by then, everyone knew that what is at the heart of all secure communications today is a protocol by name RSA, which relies on the computational hardness of prime factorization.... okay. So the prob- like, I give you a very large number, let's say even a, um, a 20-bit number, let's say. And I say, "Can you find the prime factors of this?" I even tell you that there are exactly two prime factors for this number, okay? But it's very hard task. Classically, the best- so, you know, classically, we classify problems as being either NP or P.

    14. SP

      Yeah.

    15. PM

      Uh, can you solve them in polynomial time, or can you only verify them in polynomial time? So you don't have an algorithm that solves in polynomial time, that's NP, right? So factoring is so far believed to be in NP. It's not that anybody has proven it, but the prime factorization problem is believed to be in NP, and in 1992 or '3, I have to check, uh ... maybe-

    16. SP

      Mm

    17. PM

      ... you can show your viewers the-

    18. SP

      Yeah

    19. PM

      ... correct year. Um, uh, Peter Shor came up with a quantum algorithm that can factor numbers in polynomial time. If you had access to a quantum computer, which can encode information in quantum bits, you do quantum gates, quantum logic gates, just like how you do classical logic, um, run a quantum algorithm, then you can do this exponentially faster. So then-

    20. SP

      Okay, so but this is still an algorithm.

    21. PM

      Yes.

    22. SP

      This is an algorithm that says that if we have-

    23. PM

      Yeah

    24. SP

      ... these quantum states.

    25. PM

      Yeah, yeah.

    26. SP

      And then we could write math-

    27. PM

      Yeah

    28. SP

      ... in such a way that factorization would go from a NP-hard problem to a very simple-

    29. PM

      Right

    30. SP

      ... problem.

  8. 22:0026:15

    What is Quantum Decoherence?

    1. PM

      Uh, this, um, mechanism is what is called decoherence.

    2. SP

      Okay.

    3. PM

      Okay? And this is an important word, because it then ties in with my research, which essentially is about how do you combat decoherence?

    4. SP

      Okay.

    5. PM

      Okay. Uh, this decoherence is what we call noise for qubits, and, um, the key challenge till date is to be able to realize quantum bits which, uh, are, uh, not very susceptible to this decoherence. And even if they are, we have sort of error-correcting codes that can somehow overcome this decoherence. So the challenge is to actually realize these, um, error-corrected qubits, which can exist in their quantum state for long times. That's too much information, I'll back track. [chuckles]

    6. SP

      I will, I will, I will share what I understood.

    7. PM

      Yeah. [chuckles]

    8. SP

      I, I'm sure I'm wrong, uh, in some way, but let me just try. You're saying that in realizing a qubit, uh, first of all, we should be able to give instruction to the qubit?

    9. PM

      Yes.

    10. SP

      And secondly, we should be able to measure and find out what state it is?

    11. PM

      Absolutely. Absolutely, yeah.

    12. SP

      In both giving instruction to the qubit and measuring-

    13. PM

      Yeah

    14. SP

      ... there's some error that comes in.

    15. PM

      Yes, yes. It's, it's not- it's challenging to do it at a single qubit level-

    16. SP

      Mm

    17. PM

      ... to precisely control them. So what happens is that the quantum state is very fragile, the superposition state, right? You're precisely putting it at some point on the surface of the sphere, right? Remember. Now, it's very easy for this thing to simply collapse down-

    18. SP

      Right

    19. PM

      ... either to the equatorial plane or just go off to the North Pole, like-

    20. SP

      Right

    21. PM

      ... the zero state.

    22. SP

      Right.

    23. PM

      Right? Um, that's a very, uh, overpowering mechanism. So you're kind of trying to overcome that in precisely controlling this. One solution is, well, um, shut your qubit from all external influences, right? Make it so isolated th- that... Yeah.

    24. SP

      Uh, the electron or the pho- sorry-

    25. PM

      Yeah

    26. SP

      ... the photon or-

    27. PM

      Yeah

    28. SP

      ... or the-

    29. PM

      Yeah

    30. SP

      ... the microscopic element-

  9. 26:1531:50

    Google & IBM’s Experiments With Quantum Computation

    1. PM

      in, uh, the, one of the early groups in the US was at Yale, uh, then at IBM, they started building quantum computers. But it wasn't until 2016 that they actually showed that you could put a certain number of quantum bits on a chip, right? Because now this polarization qubit and all of that is like a tabletop experiment.

    2. SP

      Mm.

    3. PM

      It doesn't become a quantum processor, it doesn't become a computer.

    4. SP

      Mm.

    5. PM

      Now, I need to have the ability to like I-- how I etch transistors and this whole-

    6. SP

      Yeah

    7. PM

      ... circuits on a chip, can I now make quantum circuits on a chip?

    8. SP

      Fair enough. The breakthrough in, uh, transistor is actually photolithography, which allows us to sort of print transistors on a chip. So you're saying that that moment is... Has it come? It's-

    9. PM

      It started in 2016, and I would say last year, with Google's, like, hundred qubit experiment, it has more or less come.

    10. SP

      Okay.

    11. PM

      Right? That's like the first proof of principle that you can put hundred qubits on a chip. You can connect them all up in some way that makes them resilient to this errors and this decoherence and all of that. So it was a very proo- but it's still a proof of principle.

    12. SP

      Mm.

    13. PM

      Right? We still haven't demonstrated Shor's algorithm on a-

    14. SP

      Sure

    15. PM

      ... a quantum computer at a, at a, at a meaningful scale. I mean, we have shown that we can factor 15 into three and five. We have shown that you can factor 21 into three and seven, and so on, but we haven't... So there are proof of principles like that.

    16. SP

      Mm.

    17. PM

      But can you really take, like, a 20-bit number and get the prime factors out? We have not yet seen that kind of a demonstration.

    18. SP

      Walking back a bit, when you were talking about this realization in the beginning, you mentioned the word superconductivity.

    19. PM

      Yeah.

    20. SP

      Superconductive qubit.

    21. PM

      Yeah.

    22. SP

      And I sort of, uh, you know, broke you there-

    23. PM

      Right

    24. SP

      ... in that flow.

    25. PM

      Right, right.

    26. SP

      Can you complete that flow? What, what is a superconductive qubit? And before that, there's a photon qubit, is that it?

    27. PM

      Right, right. So these are just two of them. So let me say that today there are at least four, five different architectures that people are simultaneously, um, uh, sort of exploring to build quantum computers. The earliest one was the photonic qubit, which is basically the polarization states of light. Um, the next one, which was reasonably successful, and today which is the kind of the leading architecture, is the superconducting qubit, right? You basically take, uh, uh, or you- so you etch a kind of, um, superconducting, um, material onto a chip, right? And, um, you create, uh, this, uh, sort of presence or absence of, um, a charge, or presence of absence of magnetic field as a qubit. That becomes your zero and one.

    28. SP

      Mm.

    29. PM

      So what do you need for a qubit? You need to identify basically these two levels, the zero and the one, the on and the off level, like in a transistor and so on. But now you need to do it in a quantum way, so that you can also prepare all these superposition states and not just have on and off.

    30. SP

      Mm.

  10. 31:5033:33

    Classical v/s Quantum Error Corrections

    1. PM

      Right. So now, error correction is not something new to quantum. Uh, we do this in classical information theory all the time. I mean, Shannon's work is all coding theory. Uh, Shannon's kind of, in a way, gave rise to, uh, this idea of coding, uh, and so on. Uh, so but classically, what happens, right? So I have my, uh, classical, um, registers, my transistors, and so on. I, I put in a zero, but then it somehow flips and becomes a one, right? That's an error. That's what we call a bit flip, right? Now, classically, we say, "Oh, no, ma- no, don't worry. Every time I wanna put a zero, I'm gonna put three zeros, or I'm gonna put five zeros. And every time I put a one, I'm gonna put three ones or five ones." Now, the odds that all three are gonna flip or even two are gonna flip is much lower than the odds that only one of them will flip. Now, when I read out, I'll read out every set of three or every set of five, right? And depending on whichever is majority, so if in a set of three, I find two zeros and one one, I know that this was intended to be three zeros-

    2. SP

      Mm

    3. PM

      ... but one of them flipped. So this is introducing redundancy.

    4. SP

      Yeah.

    5. PM

      And that's how you protect information. Now, the, uh, in quantum, can you do the same thing? Yes and no. Yes, because zero and one in quantum are like the classical zero and one. But now what happens when I prepare this 45-degree state?

    6. SP

      Mm.

    7. PM

      How is that- how does that get protected? Because now I, mm, I'm not just protecting zero and one, I'm protecting what is called an entire vector space. I'm protecting all possible points on the surface of the sphere.

    8. SP

      Mm.

    9. PM

      So I have to protect superposition-

    10. SP

      Mm

    11. PM

      ... because that's the key resource for me now, right? So if I don't protect superposition, I'm back to classical. So to protect superposition, you can say, well, every time you have 45, you say three 45s. But the problem is,

  11. 33:3337:50

    The No-Cloning Theory

    1. PM

      in quantum computing or quantum information, the very basic no-go result called the No-Cloning Theorem-

    2. SP

      Okay

    3. PM

      ... which says that you cannot make copies of arbitrary superposition quantum states.

    4. SP

      Mm.

    5. PM

      So you don't have a Gurunath, which probably was there when you were a student here-

    6. SP

      Mm

    7. PM

      ... where you have a Xerox machine, and you put in, take your friend's notes-

    8. SP

      Mm

    9. PM

      ... right, the night before the exam and make a copy of the entire notebook. No.

    10. SP

      Mm.

    11. PM

      Not possible. So you cannot copy quantum information.

    12. SP

      But even in classical computing, there is a assembly code for take this value from here and put it there. It's a simple copy.

    13. PM

      Right, but you cannot do that quantum.

    14. SP

      Okay.

    15. PM

      So you can copy states which are like classical, which is your zero and one.

    16. SP

      Mm.

    17. PM

      But an arbitrary superposition-

    18. SP

      Mm

    19. PM

      ... I don't have a universal Xerox machine that can copy quantum information. So this is what primarily makes quantum error correction challenging. So now you have to come up with clever ways of introducing redundancy.

    20. SP

      Mm.

    21. PM

      And here comes in another player in this whole game, which is entanglement.

    22. SP

      Okay.

    23. PM

      Which is a word which I have not used until now. Uh, so what is entanglement?

    24. SP

      Mm.

    25. PM

      Now, the idea is that you can have ... Now we've spoken about single qubits. Now I take this collection of three qubits, okay? Now I try to do an error-correcting code on this, means I try to say, "Okay, every time I have a single zero, it's three zeros. Every time I have a single one, it's three ones." But what about the 45-degree state? What I do now is I make a 45-degree state, not of three single qubits, but of this collection of three qubits, of this set of three qubits.

    26. SP

      Mm.

    27. PM

      Okay? So it's like three qubits is, zero is my x-axis, and three qubit one is my y-axis, and I've made now like a superposition of this three qubit zero and the three qubit one. But this is a state which I cannot break down into a state of the first qubit, a state of the second qubit, and a state of the third qubit. It's a state which cannot be broken down into its individual parts. The information is in the whole.

    28. SP

      Mm.

    29. PM

      So that's the idea of quantum entanglement. Again, very, very, um-

    30. SP

      Sure

  12. 37:5040:00

    Will We All Have Quantum Computers in Our Hands?

    1. PM

      uh ... I mean, this is crystal ball gazing at this point, right? I mean, who knew at 19- in 1950 that, uh, you know what-

    2. SP

      You have iPhones.

    3. PM

      Yeah.

    4. SP

      Yeah.

    5. PM

      So there's this famous statement of Thomas J. Watson of IBM saying that, uh, "Perhaps the world has a need for three personal computers or four personal computers," or something like that, in the 1930s, of, you know, when we still had, uh-

    6. SP

      That's the-

    7. PM

      vacuubes and-

    8. SP

      IBM, it thought of the computing revolution as something that governments and organizations will have.

    9. PM

      Right. So today, I typically say this, that maybe we will have specialized quantum computing facilities.

    10. SP

      Mm.

    11. PM

      Right? But then who knows? Like I said, you know-

    12. SP

      Right

    13. PM

      ... that's, the, the way things are shaping up today, it seems to me that what it is certainly, and this is already happening, but it is not happening at the scale where it can now start doing useful tasks. It's happening at a scale where you can do proof of principle, you can train people on it, you can teach them how to program a quantum computer, and so on and so forth, but it's not yet at a stage where hopefully we are cracking passwords and we are- or even doing useful things like running, solving traveling salesman or optimization problems-

    14. SP

      Okay, so-

    15. PM

      ... and so on.

    16. SP

      maybe, uh, maybe in future, IIT Madras will have a facility, and I'm a researcher in, say, protein folding.

    17. PM

      Exactly.

    18. SP

      I will like, "Here, take this problem-

    19. PM

      Absolutely

    20. SP

      ... and get a solution in-

    21. PM

      Yeah, yeah

    22. SP

      ... like 20 minutes."

    23. PM

      Yeah, yeah. So you can imagine how IIT Madras had one of the earliest IBM computer-

    24. SP

      Yeah

    25. PM

      ... stationed, uh, in India, I think-

    26. SP

      Yeah

    27. PM

      ... for that matter. And there were researchers all across the city, and even from out station, who would come. They're punching cards, and, you know, you have, you kind of put in the cards, you get out your results, and so on. So at least in the next 20 years, I see this happening.

    28. SP

      Yeah.

    29. PM

      Now, beyond that is anybody's guess, right? I mean, Microsoft came along, and then everybody had a computer in their house in the late '90s and early 2000s. So this, uh, we don't know where this is going, right, at beyond this point. But definitely we will see these computing, quantum computing facilities.

    30. SP

      I'm just going through all my notes I have taken. I'm just thinking that if I have to go deep into this, and if I have to understand this better to prepare myself for the future, because if this is coming in 20 years, I better know something about it. Um, I have to understand qubit, I have to understand entanglement.

  13. 40:0042:30

    The Maths Behind it All

    1. SP

      ideas I have-

    2. PM

      Yes, indeed

    3. SP

      ... I have to get.

    4. PM

      Yeah, yeah.

    5. SP

      Can you give me a, again, can you give me a bigger list? So q- I'm gonna make this list.

    6. PM

      Yeah.

    7. SP

      So I must understand what is a qubit. I must understand what is superposition. Um, uh, third one was entanglement.

    8. PM

      Yeah. Um, so from a slightly mathematical perspective, one needs to understand a little bit of linear algebra. So if I want to become a software developer for a quantum computer, right, if I want to program a quantum computer, what, what do I need to know? So the language or the mathematics of quantum computing or quantum mechanics is all linear algebra. So I nee- if I, the better I get at linear algebra, the better I get, not just at understanding what's happening, but maybe I can even start coming up with my own new quantum algorithms. I can-

    9. SP

      Is this because it's like A first angle, uh, whatever, A theta plus B alpha? I don't know.

    10. PM

      Exactly. A0 plus B1, alpha 0 plus beta 1. I had, I had refrained from using things like this-

    11. SP

      Okay

    12. PM

      ... but exactly. It's because it's not just zero and one, but it's alpha zero plus beta one. And this is the, an idea of what we call a vector space in linear algebra.

    13. SP

      Mm.

    14. PM

      So this becomes kind of the basic, uh, alphabet in which you talk about qubits, and gates, and algorithms, and all of that. So this language of linear algebra becomes very important. Incidentally, it's also very important in another domain today, namely-

    15. SP

      Yeah

    16. PM

      ... uh, AI/ML.

    17. SP

      Yeah.

    18. PM

      So in a way, this is a kind of convergence of, uh-

    19. SP

      Yeah

    20. PM

      ... new technologies having the same underlying math. I would also say some grounding in probability theory, but maybe that's not as a severe a constraint as linear algebra, which I think is absolutely something that people should be super comfortable with if you want to really get into this field.

    21. SP

      Makes sense.

    22. PM

      On the engineering front, yes, you need to know how to do photonic hardware, okay? Um, you need to, um, uh, understand, um ... Yeah, I mean, there are certain, uh, sort of, uh-

    23. SP

      So I don't need to be better at Schrodinger equation.

    24. PM

      [laughing]

    25. SP

      Do I need to?

    26. PM

      This is a very tricky question. [laughing] So it depends on how deep you want to get into quantum computing.

    27. SP

      Okay.

    28. PM

      Okay, so I want to say that one of the important use cases today, for example, protein folding.

    29. SP

      Mm.

    30. PM

      How do you solve a protein folding problem on a quantum computer? You use something called a variational quantum algorithm.... okay. It's different from Shor's Algorithm, it's different from the Search Algorithm. It's a heuristic algorithm which relies much more on the laws of quantum mechanics-

  14. 42:3044:50

    Variational Quantum Algorithms

    1. PM

      right?

    2. SP

      Mm.

    3. PM

      So it depends on how deep you wanna get into this, right?

    4. SP

      Fair enough, but I could choose to, maybe not today, but in five, 10 years, I could choose to, instead of focusing on this, I could choose to become a programmer, uh, who is, uh ... Is there a assembly language equivalent in quantum computing? Is there a-

    5. PM

      It's not a single- So like I said, there are different architectures. In fact, I think we, uh, got sidetracked there. So photonic superconducting, then there are what are called trapped ions and neutral atom, uh, based quantum computers. There are, there are at least these three, four different approaches-

    6. SP

      So this, you were talking about the architectures of qubit.

    7. PM

      Yeah.

    8. SP

      So photonic-

    9. PM

      Superconducting

    10. SP

      ... superconducting.

    11. PM

      Yeah.

    12. SP

      Trapped ions.

    13. PM

      And neutral atoms.

    14. SP

      Okay.

    15. PM

      Now, each of these is a different kind of physical object with different kind of control operations for each of them, which are a bit unique. The standard picture you see of a quantum computer is this dangling chandelier-

    16. SP

      Chandelier. Yeah

    17. PM

      ... which is actually a dilution refrigerator.

    18. SP

      Okay.

    19. PM

      That's actually a refrigerator.

    20. SP

      Mm.

    21. PM

      Uh, the chip is somewhere deep inside, and you use this entire array of wires and so on to control the qubits that are lying deep inside.

    22. SP

      Mm.

    23. PM

      And you're cooling it down to millikelvin temperatures-

    24. SP

      Mm

    25. PM

      ... to avoid this decoherence as much as possible, and keep them in the state, the superposition state, that you want them to be. So this is one example of an architecture, right? Now, um, IBM has, for example, come up with a Python-based language called Qiskit, right? Using which you can program their quantum computers remotely.

    26. SP

      Okay.

    27. PM

      Right, they have their quantum computer stationed in Yorktown Heights in New York, and you can sort of from here write code and program access these quantum computers. So it's not still an assembly line language. There are people who have built these full stacks and so on, being agnostic to the architecture, but I think it's still very much a work in progress. Because in a way, we still don't even know which of these architectures is going to win out. Today, it looks like superconducting qubits are at the lead because they have 100 odd qubits, but neutral atom-based systems are also catching up.

    28. SP

      Mm.

    29. PM

      Um, trapped ions are catching up. And item- finally, actually, it would be very ideal if we could do photonics chips, right? Integrated photonics on chip-

    30. SP

      Mm

  15. 44:5049:30

    The Interdisciplinary Nature of Quantum Computational Studies

    1. PM

      which is on the table, which is what would be ideal.

    2. SP

      So it's a maths, physics, but now as these things get realized more and more, it becomes a heavy engineering-

    3. PM

      Today, it's very much an engineering problem.

    4. SP

      Engineering problem.

    5. PM

      Yeah. And I would say what is going to drive the field, and what is already driving the field, is what one can call quantum engineers, right?

    6. SP

      Mm.

    7. PM

      Engineers who understand the principle of quantum mechanics, um, and learn sort of how to sort of play around with, um, single quantum systems, right? And engineer, control, design single quantum systems.

    8. SP

      These guys are gonna be very valuable.

    9. PM

      Yeah.

    10. SP

      If I were a JEE rank holder, I would probably choose to be a-

    11. PM

      Absolutely

    12. SP

      ... quantum engineer.

    13. PM

      Well, today we see many of the students who graduate from our programs.

    14. SP

      Mm.

    15. PM

      Actually, there was a time when people who would do engineering physics and so on, would go almost entirely into theory.

    16. SP

      Yeah.

    17. PM

      Now we see more and more of them going into experiments, and particularly into quantum hardware.

    18. SP

      Mm.

    19. PM

      Because I think that's a tool and technique which is gonna be useful in the future, no matter, you know, how many quantum computers, facilities we have finally.

    20. SP

      Okay. [chuckles] Thank you so much. I have exhausted one set of questions, but I have another two sets of questions. So, uh, one line of inquiry that I wanted to talk to you about was, there's an India Quantum Mission.

    21. PM

      Yes.

    22. SP

      Um, and this is a global player. Every count- every country will try to develop their own resources, and-

    23. PM

      Yeah

    24. SP

      ... there'll be a little bit of a push and pull on which architectures win or which kind of systems, um-

    25. PM

      Are going to scale up eventually

    26. SP

      ... are going to scale up.

    27. PM

      Yeah.

    28. SP

      Uh, so where is India in all this? And, uh, honestly, the, the question is, do we have a chance?

    29. PM

      [chuckles] So I actually think that we do have a chance.

    30. SP

      Mm.

  16. 49:3055:20

    Quantum Research in India

    1. PM

      are kind of, uh, focusing on these.

    2. SP

      Mm.

    3. PM

      And, uh-

    4. SP

      Very interesting

    5. PM

      ... these form the pillars of the field, so to speak. Um, yeah, so quantum communication, uh, we have Professor Anil's group here. We have Professor Urbasi Sinha's group at Raman Research Institute, who's been doing, again, fantastic work in quantum key distribution. They are trying to do satellite-based-

    6. SP

      Yeah

    7. PM

      ... quantum key distribution. Um, we have, uh, Bhaskar Kansara's group at IIT Delhi. Uh, so we have a few different groups on quantum communication.

    8. SP

      Mm.

    9. PM

      We have a few different groups that are building quantum hardware, like, uh, Professor Vijay Raghavan's group at TIFR, Professor Uma Kant's group at IISER Pune. And again, the government has wisely distributed money across different architectures, so that you're not putting all your eggs in the same basket. You're funding superconducting qubits, you're funding trapped ions. You're also funding photonic-based, uh, groups in Indian Institute of Science, Professor Chandrasekhar's group. Um, you're also funding, uh, trapped ions, that's IISER Pune, Uma Kant. So the National Quantum Mission, I think has, uh, kind of done a, a fair job of assessing the key, um, sort of, uh, groups, technical areas in which, you know, we need funding. And-

    10. SP

      I'm, I'm a little confused on one thing. Um, w- what would the National Quantum Mission ... like, how, like, because it's such a nascent field, right? So what is the goal like-

    11. PM

      Yeah

    12. SP

      ... what would be achieved?

    13. PM

      Yeah, so the goal for the communication hub, for example, is to build a quantum secure, um, route, let's say, between Chennai to Bangalore, for starters. Can you set up a quantum secure link, communication link between Chennai and Bangalore?

    14. SP

      So quantum encrypted here, quantum decrypted.

    15. PM

      Exactly.

    16. SP

      Mm.

    17. PM

      Yeah.

    18. SP

      Okay.

    19. PM

      Now, with present-day research and technology, this will not happen with a single link. It will require a few hops in between. Those hops will have to be trusted nodes, right? And, uh, this can be done. Now, this is not ... Okay, so China demonstrated this a few years ago-

    20. SP

      Okay

    21. PM

      ... where they showed such a quantum secure link from Beijing to Shanghai.

    22. SP

      Okay.

    23. PM

      Which is, of course, much longer. So one of the mission, uh, goals, a more ambitious goal, is can you now do this from Chennai to Delhi?

    24. SP

      Mm.

    25. PM

      Instead of Chennai to Bangalore, but we're starting with Chennai to Bangalore. So IIT Madras, for example, we have now set up a communi- quantum secure link from IIT Madras, our lab in the electrical engineering department here, to the research park.

    26. SP

      Mm.

    27. PM

      Right?

    28. SP

      Okay.

    29. PM

      This is one such point to point link. But now you want to sort of stretch this and make it across cities, intercity, and so take it all the way to Delhi, for example, is one of the goals of the National Quantum Mission.

    30. SP

      Okay.

  17. 55:201:04:05

    How Did Prof Prabha Get into Quantum Mechanics?

    1. PM

      in IIT Madras. So full disclosure, my father himself is a theoretical physicist-

    2. SP

      Okay

    3. PM

      ... now retired from University of Madras, and he worked on an area called quantum foundations.

    4. SP

      Okay.

    5. PM

      [chuckles] Okay. Um, or the theory of quantum measurement, which was, at that point, considered very esoteric sort of thing. Um, he was trying to really understand the nitty-gritties of quantum measurement, and so on. Interestingly, his papers are now very well-cited today because, uh, you know, quantum measurement has become such an important problem because of quantum technology, right? So in a way, the seeds were probably sown by some, uh, discussions with him.

    6. SP

      Mm.

    7. PM

      But really, after I joined my master's here at IIT Madras, and we did our first Quantum Mechanics course, and, uh, we were all asked to do... give, uh, presentations on some topics, and I think I chose, um, something called this, um, Bell experiment, Bell CHSH experiment, which actually won the Physics Nobel, uh, three years back. And I think in reading about that, in even talking about it, I was really excited. Somehow something clicked. Um, and then I went on to do my master's project under Professor Arul Lakshmi Narayan.

    8. SP

      Mm.

    9. PM

      Um, we studied early papers on quantum entanglement, and I ended up working with him on something called quantum random walks-

    10. SP

      Okay

    11. PM

      ... which is, again, different from a classical walk, and it's, again, some interesting stuff there. So all of this, I think, kind of, you know, propelled me in this direction. So I realized that I really like... First, I really liked the math of quantum mechanics, and then I really liked the idea of entanglement, the idea of doing, um, tasks like random walks with quantum particles and stuff like that. Um, I got introduced to a book, uh, by Nielsen and Chuang, which had just come out. Um, and then I applied for grad school and got into, uh, one of the, at that point, and even today, leading groups on quantum computing with, uh, Professor John Preskill at Caltech. So I think that kind of cemented the deal.

    12. SP

      I want to ask you a question here. Um, I understand that you were exposed to it early-

    13. PM

      Yeah

    14. SP

      ... uh, which is amazing. Um, but still, it- at the time, you're talking about 2003, 2005.

    15. PM

      Yeah.

    16. SP

      It's a very esoteric field.

    17. PM

      Yes.

    18. SP

      You're committing your career to it.

    19. PM

      Right.

    20. SP

      Isn't that like a, like a nerve-wracking decision, that, "Am I going to do this?" Uh, "What if I... What if the field doesn't move for 30, 40 years?"

    21. PM

      So I should tell you that I was one of those people in 2000 who actually did not write the JEE exam.

    22. SP

      Okay.

    23. PM

      So I knew that I wanted to do physics-

    24. SP

      Okay

    25. PM

      ... for whatever reason, and at that point, uh, maybe the only option was to go for an integrated physics program in IIT Kanpur.

    26. SP

      Mm.

    27. PM

      And then there was all this conversation at home. You know, everyone in class was going for JEE coaching-

    28. SP

      Mm

    29. PM

      ... in Chennai. You know, you're also a Chennai person.

    30. SP

      Yeah.

  18. 1:04:051:10:00

    Do Women Pursue Quantum Computing Studies?

    1. PM

      into this field today if you're an engineering physics graduate. Yeah.

    2. SP

      Nice. Thank you so much for all of that. Um, I've already occupied your time a lot-

    3. PM

      Yeah

    4. SP

      ... so I will let you go. But one last question I want to ask you. Are there a lot of women students taking these courses? And I'm asking you because I came from mechanical engineering, and my class had maybe a 10%, uh, uh... Even today, we get questions from parents saying, "Is this suitable for..." I don't know why.

    5. PM

      [chuckles]

    6. SP

      I don't know why. What do they think that engineers do? But they still ask us questions like, "Oh, is, uh, naval suitable? Is chemical suitable?" I don't know. But I would ask you that question: Is this a field that sees a lot of women in it?

    7. PM

      At present, at the moment, not yet, right?

    8. SP

      Yeah.

    9. PM

      Our ratios, unfortunately, haven't changed much from the 10% that, uh, you saw, right? Um, in engineering physics, I think, uh, in a batch of about 40, 45, maybe we have 10 girls typically.

    10. SP

      Okay, so that's, that's 20, 20.

    11. PM

      A little bit better.

    12. SP

      Yeah.

    13. PM

      Right? It's 20%, uh, almost, I think, which is good. And I think also initiatives like the supernumerary, uh, you know, uh, sort of-

    14. SP

      Supernumerary seats.

    15. PM

      Yeah, yeah. I think that helps, right? Certainly. Um, so I think to me, the biggest problem for women in STEM fields is that at some point... I mean, I would say by and large, Indian parents, uh, we are very supportive of women's education, I must say, in general, right, as a society. Uh, because I don't believe that, I don't buy this thing that we are very conservative. We are not at all conservative when it comes to educating our women, right?

    16. SP

      I mean, there, there's data on this, because in CBSC, women outperform men all the-

    17. PM

      Absolutely. Absolutely, yeah. I mean, my son is in class four, and I can tell you that the number of girls in his class is, first of all, outnumbers the number of boys, and the number of top rankers who are girls is much higher.

    18. SP

      Mm.

    19. PM

      Right? So this is very true. But I think what happens is, after a certain age, um, society starts imposing certain, um, not constraints, but more like expectations-

    20. SP

      Mm

    21. PM

      ... that now you need to do this, this, and this, right?

    22. SP

      Mm.

    23. PM

      And then these, this, this, and this come with all these constraints, but then you start second-guessing yourself. You start saying, "Should I really go for that master's, which is gonna take me two more years, and then what do I do? And then should I really go for this PhD, which is, like, five years long?"

    24. SP

      Interesting.

    25. PM

      You know? "Or should I... At this point, I'm getting placed. Let me take this job." I mean, nothing h- wrong in that, but I'm just saying that the choices that girls start making at 2021 is, I think, what pushes down the number of women who are, you know, sort of... See, you need that extra qualification, you need that extra skilling-... right? In order to be able to enter a niche area like this.

    26. SP

      Yeah. Also, there are some fields, I feel, there are some fields if a woman, uh, uh, in 11, 12 or 8, 9, 11, 12, has decided that I want to have a long career, uh, there are some fields which are, uh, predominantly women. Like, I come from marketing-

    27. PM

      Right.

    28. SP

      There's a lot of women in it.

    29. PM

      Right.

    30. SP

      So, uh, by default, they choose fields where there are more women. So I think in these ca-

  19. 1:10:001:11:01

    Closing Thoughts

    1. SP

      description, we have left links, um, on, on some of these things, including the links to her NPTEL courses, so you can check them out. Uh, Professor, any l- final thoughts before we close?

    2. PM

      Well, I would just say, if you are, um, uh, a high school student or even an, um, undergraduate, uh, watching this podcast, uh, this, the next decade I think is a very exciting time for quantum science and technologies. I think it is a good time to get into the field, where you get to learn a lot of new things. You get to be a part of exciting new developments that are happening around. And no matter which course, eventually, uh, history will take, I think you end up learning some very nice skills, which will-

    3. SP

      Mm

    4. PM

      ... last you throughout. So that's my... Yeah.

    5. SP

      Thank you, Professor. Thank you everyone for listening in. Please share, subscribe, uh, send this podcast as a link on WhatsApp to your friends. Thank you.

Episode duration: 1:11:06

Install uListen for AI-powered chat & search across the full episode — Get Full Transcript

Transcript of episode 1_KboXd18qo

Get more out of YouTube videos.

High quality summaries for YouTube videos. Accurate transcripts to search & find moments. Powered by ChatGPT & Claude AI.

Add to Chrome