Quantum is Coming

The very first episode of Impact Quantum.

Watch the livestream

https://www.linkedin.com/posts/frank-lavigne_quantum-compute-is-coming-activity-6700060953964232704-8JwD

Transcript (AI Generated):

This episode of the impact quantum podcast is rated one schroedinger and is entitled Quantum is coming. 

Speaker 1 

I'm Frank Lavigna an this is the very first episode of impact quantum quantum computing is about the radically change. 

Speaker 1 

Uh, how we live an work, so let's roll the intro. 

Speaker 1 

Alright, with me to my I think it's left on the screen. Here is my cohost from data driven Andy. Later, how's it going, Andy? 

Speaker 2 

Hey Frank is going awesome. 

Speaker 2 

How are you? 

Speaker 1 

I'm doing well doing well. I've got the I've I've got the fever. 

Speaker 1 

Do you? It's not covered. It's not Corona Squantum Fever. That's what I got. 

Speaker 1 

So Andy and I have another podcast data driven.tv where we explore the emerging fields of data science machine learning an artificial intelligence, and you're probably wondering what the heck are you data sciency data engineer guys doing here talking about quantum computing? 

Speaker 1 

For miles back, let me tell you a story. In November of 2019 this is back when people would actually travel places. 

Speaker 1 

And congregate in large groups without thinking twice. This is before the words Wuhan meat market. 

Speaker 1 

More commonplace before when Corona was just a beer I attended a conference called M labs or might machine learning and data science summit. It's an internal only kind of conference for Microsoft employees thrown by Microsoft Research where they kind of come out of the lab and they talked to us about kind of what's around. 

Speaker 1 

Pike 

Speaker 1 

And, um. 

Speaker 1 

This is the conference that I went to in 2016 where I had my ahha moment or you know about getting into this field right? I kind of. I was into data visualization and power BI and kind of Munging Data with Excel. 

Speaker 1 

But the engineering wasn't in me, was not satisfied. Then I discovered machine learning and artificial intelligence, and where that was headed. 

Speaker 1 

And when I came back from that conference, completely switched on about. This is the future. This is coming. It's here, it's you know it's it's on its way. 

Speaker 1 

Most people thought I was crazy. 

Speaker 1 

I mean, even I had my doubts about it, so yeah. 

Speaker 1 

Through 

Speaker 1 

A number of coincidences. It took me 4 or or other reasons, took me about four and a half years or 3 1/2 years to get back there. 

Speaker 1 

Um and the first day came and went. I didn't have that. Ah ha moment, so I'm like, well, you know, maybe that's just like a once or twice in a lifetime type. Ah ha moment. 

Speaker 1 

It happens, doesn't have sure sure. 

Speaker 1 

And. 

Speaker 1 

Then on the second day it was a hardware presentation. Now I can't talk about everything I saw, but that's when quantum computing was explained to Maine. 

Speaker 1 

And why? 

Speaker 1 

It is the next big thing. 

Speaker 1 

An I knew I was on the right track because when I came back I started telling other people that quantum is coming quantum quantum quantum. 

Speaker 1 

I sat it again like a ranting lunatic. 

Speaker 1 

And that kind of told Maine. 

Speaker 1 

That maybe I'm on to something because the next wave always looks crazy before it happens. 

Speaker 2 

Yeah. 

Speaker 2 

So. 

Speaker 1 

With that in mind, I attended, um I started studying quantum type computing articles and and Whatnot, and I even installed Q Sharp that night in the hotel. 

Speaker 1 

Then I opened up my. 

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Brought on my Visual Studio. 

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And, um. 

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Was like OK, now what? 

Yeah. 

Speaker 1 

Um and once again, I'm trying to keep a growth mindset here when I first read a book on statistics. 

Speaker 1 

My first reaction was, uh, what did I get myself into? 

Speaker 1 

Right? 

Speaker 2 

But that's you know that's not a common Frank. A lot of people come into this an you know I don't. When you're starting out, who knows everything you're gonna learn and everything you gonna need to learn. 

Speaker 1 

Exactly right, and I think that there's going to be a lot of people. 

Speaker 1 

Um, that are going to be in a similar boat and. 

Speaker 1 

On our main show we kind of discussed this is that. 

Speaker 1 

It's hard for people to think back. I mean, it's hard for people to think back honestly about what life was like before Koven you know going yeah, getting into elevators like whoa other people. 

Speaker 1 

On that, at the same time. 

Speaker 1 

Things like that, but it's hard to go back even further to think that there was a time when only PHD's did data science right and then was right. 

Speaker 1 

Think about, Well, you have to go back to school like when I when I asked folks for advice on what to do at that summit actually in 2016. 

Speaker 1 

I know that one guy is like I just go back to school and get get PhD in statistics and this is before data science programs existed at universities, so this was really yeah. 

Speaker 1 

We forget how quickly this is moved. I mean now everybody and their cousin hasn't data science course and I don't mean that disparagingly, I just. 

Speaker 2 

Know there's just. 

Speaker 1 

A the Germans have a phrase. 

Speaker 1 

Um, it's been awhile, so I spoke German on daily basis. Just broke fall derval something like that was like the agony of choices and we kind of have that now which four years ago we didn't. But around three years. Three years or so ago, guy named Siraj Raval and I'll just drop his name. I won't say anything else opinion Wise had the ability. 

Speaker 1 

Not so much to conduct unique and custom research on his own. 

Speaker 1 

But he did have the gift. The true gift is true talent. 

Speaker 1 

Was explaining these complicated data science machine learning and artificial intelligence concepts in simple ways. 

Yeah. 

Speaker 1 

And it is a rare gift that if you can understand something, you can explain it now. Richard Feynman, a noted physicist. He says if you can't explain it, you don't understand it. 

Speaker 1 

Or you can't explain it simply you don't understand it. Something like that. I totally butchered that. 

Speaker 2 

Now you got it, yeah? 

Speaker 1 

So the key here and the goal for this show is going to be just that, like the ability to explain this. 

Speaker 1 

And, um, in in in a clear and simple way that engineers can understand. Maybe not your Grandma. 

Speaker 1 

Unless your grandma happens to be a particle physicist. 

Speaker 1 

It happened, I had a great aunt who was sister to my grandmother who was an engineer which back when in the 40s and 50s was a woman engineer was was quite an accomplishment in the military, no less too. 

Speaker 1 

And it was not Grace Hopper, No, but. 

Speaker 1 

Um, though that would have been cool. 

Speaker 1 

In any case, um, the key here. 

Speaker 1 

Is that we want to explain this in ways that software engineers and data engineers would understand? 

Speaker 1 

And that's our goal for this show. 

Speaker 1 

And. 

Speaker 1 

Now, the best way to set up a learning scenario, which I in the last four years or so I have made learning a priority in my life, right? Yeah, I have the numbers to prove that 266 certifications since December 2016. 

Speaker 1 

So. 

Speaker 1 

That I don't say that to show off, I just showed that to saying like I got. You know, it's just become who I am now. It's become a habit. Yeah, I don't know where I was going with that, but. 

Speaker 1 

The best way to set up. 

Speaker 1 

The learning here is the notion for learning is to set up a reason why right. If you if you want to learn something, you're going to be far more motivated and far more likely to...