1 00:00:00,080 --> 00:00:04,600 Speaker 1: Mike Dubuski is ABC News reporter out of New York 2 00:00:04,680 --> 00:00:09,960 Speaker 1: and a tech expert. Is time for our Tech Tuesday, Mike, 3 00:00:10,280 --> 00:00:13,399 Speaker 1: thanks for taking the time to talk to us. Hey 4 00:00:14,560 --> 00:00:18,919 Speaker 1: in Ai, of course, is the big story that we 5 00:00:19,079 --> 00:00:23,080 Speaker 1: have been following now for probably a couple of years, 6 00:00:23,079 --> 00:00:26,120 Speaker 1: how it's going to change everything how we deal with 7 00:00:26,160 --> 00:00:30,400 Speaker 1: the Internet and how we deal with research and computers. 8 00:00:30,440 --> 00:00:35,160 Speaker 1: But there's also something called quantum computing and that may 9 00:00:35,200 --> 00:00:39,080 Speaker 1: have just as big an influence. So, Mike, if you 10 00:00:39,080 --> 00:00:42,040 Speaker 1: would explain what quantum computing is so we have an 11 00:00:42,040 --> 00:00:43,480 Speaker 1: idea of where we're going. 12 00:00:43,720 --> 00:00:46,480 Speaker 2: Yeah, definitely, nothing like a little quantum physics to start 13 00:00:46,520 --> 00:00:48,960 Speaker 2: your morning, guys. But to answer the question of what 14 00:00:49,080 --> 00:00:52,720 Speaker 2: quantum computing is, we first have to understand what normal 15 00:00:52,800 --> 00:00:56,240 Speaker 2: computing is, what traditional computers and how they work do. 16 00:00:56,960 --> 00:00:59,720 Speaker 2: So you've all seen the matrix presumably right where the 17 00:01:00,000 --> 00:01:03,040 Speaker 2: green numbers come cascading down the screen at the beginning 18 00:01:03,040 --> 00:01:06,880 Speaker 2: of the movie, all the ones and zeros. That's binary code, 19 00:01:07,000 --> 00:01:10,119 Speaker 2: or to put it in computer terms, that's a bit. Right, 20 00:01:10,240 --> 00:01:12,600 Speaker 2: Each of those numbers is a bit that one or 21 00:01:12,640 --> 00:01:15,440 Speaker 2: a zero, And if you arrange enough bits in a line, 22 00:01:15,480 --> 00:01:17,960 Speaker 2: next to each other to make a very complicated process 23 00:01:18,080 --> 00:01:22,840 Speaker 2: very simple. That is the building blocks of computer technology. Right. 24 00:01:22,920 --> 00:01:26,120 Speaker 2: If you arrange you know, five ones and six zeros 25 00:01:26,160 --> 00:01:28,760 Speaker 2: next to each other, that means that the background on 26 00:01:28,800 --> 00:01:30,440 Speaker 2: your phone is read, or if you have it in 27 00:01:30,520 --> 00:01:33,960 Speaker 2: a different configuration, it might be blue. Again, an oversimplification 28 00:01:34,000 --> 00:01:36,400 Speaker 2: of how computers work, but it all basically comes back 29 00:01:36,440 --> 00:01:40,399 Speaker 2: to those ones and zeros, those bits. Quantum computing uses 30 00:01:40,440 --> 00:01:43,200 Speaker 2: an entirely different set of building blocks. They use what 31 00:01:43,280 --> 00:01:47,400 Speaker 2: are known as quantum bits or cubits as some of 32 00:01:47,440 --> 00:01:50,880 Speaker 2: the companies call them. These are not ones or zeros, 33 00:01:51,000 --> 00:01:54,360 Speaker 2: they're kind of both at the same time until you 34 00:01:54,440 --> 00:01:56,680 Speaker 2: run a program, at which point they become one or 35 00:01:56,720 --> 00:01:59,560 Speaker 2: the other. They become one or zero. They exist in 36 00:01:59,560 --> 00:02:03,360 Speaker 2: this quantum state. And this all it's worth mentioning requires 37 00:02:03,440 --> 00:02:06,440 Speaker 2: like one more quantum physics degree than I have in 38 00:02:06,560 --> 00:02:09,679 Speaker 2: order to properly wrap your mind around and fully explain. 39 00:02:10,080 --> 00:02:12,560 Speaker 2: But the takeaway what you really need to know about 40 00:02:12,600 --> 00:02:16,240 Speaker 2: quantum computers is that they're able to solve problems that 41 00:02:16,320 --> 00:02:20,720 Speaker 2: are way more complex than what our current computers can handle, 42 00:02:21,000 --> 00:02:23,880 Speaker 2: and that opens up a lot of opportunities in plenty 43 00:02:23,880 --> 00:02:28,800 Speaker 2: of different sectors, among them medicine, drug development, artificial intelligence, 44 00:02:28,800 --> 00:02:32,160 Speaker 2: the existing technology sector, and the financial services industry. 45 00:02:32,720 --> 00:02:38,120 Speaker 1: Yeah. Now, when you talk about wrapping your mind around quantum, 46 00:02:38,800 --> 00:02:42,679 Speaker 1: the quantum theory, I think a lot of people, most 47 00:02:42,720 --> 00:02:46,560 Speaker 1: of us understand the bits zero ones. Most of us 48 00:02:46,600 --> 00:02:50,680 Speaker 1: have grown up with that as the basis for computing. Now, 49 00:02:51,200 --> 00:02:56,720 Speaker 1: the thought of zero ones existing at the same time 50 00:02:57,560 --> 00:03:00,679 Speaker 1: in the same place that one's a little tough to 51 00:03:00,720 --> 00:03:03,280 Speaker 1: wrap your mind around. That I don't get. 52 00:03:03,440 --> 00:03:06,959 Speaker 2: Yeah, it's kind of mind bending, right, is this idea 53 00:03:07,040 --> 00:03:11,480 Speaker 2: that until you observe it, it is kind of both states, right, 54 00:03:11,560 --> 00:03:14,120 Speaker 2: And this is what quantum physics is all about. Is 55 00:03:14,160 --> 00:03:17,560 Speaker 2: when you get down to this infintesimally small, sort of 56 00:03:18,000 --> 00:03:21,840 Speaker 2: subatom level, things start to behave differently, right, things like 57 00:03:21,919 --> 00:03:24,800 Speaker 2: cause and effect is flipped, and things can exist in 58 00:03:24,880 --> 00:03:27,280 Speaker 2: two different places at exactly the same time but take 59 00:03:27,360 --> 00:03:29,800 Speaker 2: up exactly the same amount of space. Right. It's stuff 60 00:03:29,800 --> 00:03:32,160 Speaker 2: that like our brains don't normally go to. Yeah, it 61 00:03:32,240 --> 00:03:35,680 Speaker 2: requires some unlearning, but that's basically the type of thing 62 00:03:35,720 --> 00:03:36,680 Speaker 2: that we're dealing with here. 63 00:03:36,880 --> 00:03:40,520 Speaker 1: Yeah. For example, it's raining outside at the same time 64 00:03:40,560 --> 00:03:41,120 Speaker 1: it's sunny. 65 00:03:42,120 --> 00:03:45,760 Speaker 2: Yeah, exactly, you know, up is up is the same 66 00:03:45,840 --> 00:03:49,560 Speaker 2: time it's down right. Here's cat is a classic example 67 00:03:49,640 --> 00:03:51,960 Speaker 2: here where you know, if there's a cat in the 68 00:03:52,040 --> 00:03:54,560 Speaker 2: trunk of your car, it is both dead and alive 69 00:03:54,920 --> 00:03:57,760 Speaker 2: until you open the trunk and discover what it is. 70 00:03:57,880 --> 00:04:00,960 Speaker 2: That's basically what we're dealing with here, is it is 71 00:04:01,040 --> 00:04:04,280 Speaker 2: both one end zero until you hit enter, until you 72 00:04:04,360 --> 00:04:07,360 Speaker 2: hit execute on your computer and run a program. It's 73 00:04:07,400 --> 00:04:10,480 Speaker 2: just up until that moment. It is some probability, some 74 00:04:11,040 --> 00:04:13,880 Speaker 2: you know, intermediary state between those two states of being. 75 00:04:14,360 --> 00:04:17,960 Speaker 1: Yeah, now I'll think about that while moment. Next commercial 76 00:04:18,160 --> 00:04:21,880 Speaker 1: in a couple of minutes, Tech Tuesday with Mike Dubuski, 77 00:04:22,440 --> 00:04:25,880 Speaker 1: who is the ABC News reporter, and he is either 78 00:04:25,920 --> 00:04:28,680 Speaker 1: in New York or he's not. And he went to 79 00:04:29,400 --> 00:04:34,920 Speaker 1: the IBM's Thomas Watson Research Center in New York and 80 00:04:34,960 --> 00:04:37,240 Speaker 1: he either walked in the door or he didn't. At 81 00:04:37,240 --> 00:04:41,560 Speaker 1: the same time as he explained quantum physics to us 82 00:04:41,839 --> 00:04:45,120 Speaker 1: and did a pretty good job. In the first segment, 83 00:04:45,520 --> 00:04:51,000 Speaker 1: Now you went to a quantum research center that's run 84 00:04:51,040 --> 00:04:53,839 Speaker 1: by IBM. What you see in how did it look? 85 00:04:54,160 --> 00:04:56,800 Speaker 2: Yeah, so we saw a quantum computer. I think this 86 00:04:56,960 --> 00:05:01,080 Speaker 2: is really helpful in just demonstrating exactly what this technology is, like, 87 00:05:01,120 --> 00:05:03,840 Speaker 2: what is it? What can I touch? What can I hold? Well? 88 00:05:03,920 --> 00:05:06,840 Speaker 2: These actually kind of harken back to sort of older 89 00:05:06,880 --> 00:05:10,400 Speaker 2: school computers. They take up full rooms. The unit that 90 00:05:10,400 --> 00:05:13,080 Speaker 2: we were looking at was taller than I am by 91 00:05:13,080 --> 00:05:15,280 Speaker 2: almost a factor of two. It had this sort of 92 00:05:15,320 --> 00:05:18,240 Speaker 2: aluminum finish on it, and it was shaped like a 93 00:05:18,320 --> 00:05:21,600 Speaker 2: giant X that had been placed into the ground. And 94 00:05:21,960 --> 00:05:25,040 Speaker 2: interestingly enough, the actual computer part of it, the chips, 95 00:05:25,120 --> 00:05:29,080 Speaker 2: what IBM calls their heron processors, are actually pretty small. 96 00:05:29,080 --> 00:05:32,000 Speaker 2: They're like a tiny little box, you know, approximately the 97 00:05:32,000 --> 00:05:33,800 Speaker 2: size of like a shoe box or a tissue box 98 00:05:33,880 --> 00:05:37,000 Speaker 2: or something like that. That's where the actual computing gets done. 99 00:05:37,240 --> 00:05:39,080 Speaker 2: So much of the rest of it, the stuff that 100 00:05:39,120 --> 00:05:43,320 Speaker 2: takes up the entire room, is cooling. Keeping these chips 101 00:05:43,320 --> 00:05:45,839 Speaker 2: cool because they generate so much heat because they work 102 00:05:45,960 --> 00:05:49,720 Speaker 2: so hard, is really difficult. And IBM says that in 103 00:05:49,839 --> 00:05:52,000 Speaker 2: order for this chip to function, they actually have to 104 00:05:52,000 --> 00:05:56,599 Speaker 2: get the temperature inside this computer down to almost absolute 105 00:05:56,720 --> 00:06:00,320 Speaker 2: zero zero kelvin, as it's known, and that's a really 106 00:06:00,360 --> 00:06:03,000 Speaker 2: tough process and the sort of cooling systems that are 107 00:06:03,040 --> 00:06:05,159 Speaker 2: able to do that, they call it the shandelier. It 108 00:06:05,200 --> 00:06:08,320 Speaker 2: actually looks like a giant schandelier, but it's actually all 109 00:06:08,320 --> 00:06:11,200 Speaker 2: these different brass and gold components that are able to 110 00:06:11,640 --> 00:06:16,160 Speaker 2: slip cooling material and coolant near this computer to make 111 00:06:16,200 --> 00:06:19,200 Speaker 2: sure that it operates at the proper temperature. In addition 112 00:06:19,279 --> 00:06:23,000 Speaker 2: to that, quantum computers don't have like a user interface 113 00:06:23,160 --> 00:06:25,880 Speaker 2: or an operating system. They don't run Windows, for example, 114 00:06:26,160 --> 00:06:29,719 Speaker 2: So that means that we need traditional computers nearby in 115 00:06:29,839 --> 00:06:32,320 Speaker 2: order to translate what it's giving us. Right, if we 116 00:06:32,400 --> 00:06:35,400 Speaker 2: give a quantum computer a problem to solve, we can't 117 00:06:35,440 --> 00:06:38,599 Speaker 2: really understand it in its normal state. We need another 118 00:06:38,680 --> 00:06:41,880 Speaker 2: computer there to sort of understand what it's giving us 119 00:06:41,880 --> 00:06:45,000 Speaker 2: and translated into something that we would understand. So that's 120 00:06:45,040 --> 00:06:47,480 Speaker 2: what they're working on at this facility, the Thomas J. 121 00:06:47,560 --> 00:06:51,760 Speaker 2: Watson Research Center in upstate New York. You might remember Watson, 122 00:06:51,800 --> 00:06:55,000 Speaker 2: which won Jeopardy many years ago. Yes, the same Watson. 123 00:06:55,360 --> 00:06:57,800 Speaker 2: It's an IBM computer. That is where they developed this 124 00:06:57,880 --> 00:07:01,680 Speaker 2: particular artificial intelligence technology. Now it seems like they are 125 00:07:01,720 --> 00:07:04,560 Speaker 2: moving into the quantum realm, and that's that's kind of 126 00:07:04,560 --> 00:07:06,919 Speaker 2: what they're focused on right now at this research center. 127 00:07:07,200 --> 00:07:09,680 Speaker 2: But it's This is kind of like somewhere between a 128 00:07:09,720 --> 00:07:12,080 Speaker 2: factory and a lab, right, This is where they figure 129 00:07:12,120 --> 00:07:14,559 Speaker 2: out how to build these things. These computers are already 130 00:07:14,680 --> 00:07:17,440 Speaker 2: up and running in Europe and in Japan. In fact, 131 00:07:17,440 --> 00:07:20,000 Speaker 2: this morning they just announced that they're launching a new 132 00:07:20,120 --> 00:07:23,160 Speaker 2: quantum computer in Spain that is largely similar to the 133 00:07:23,200 --> 00:07:24,160 Speaker 2: one that I got to look at. 134 00:07:24,240 --> 00:07:27,280 Speaker 1: So now these are telling are they selling these? 135 00:07:28,040 --> 00:07:31,120 Speaker 2: The idea is, if you're a company, for example, if 136 00:07:31,120 --> 00:07:33,080 Speaker 2: you're like a shipping company, right, and you have to 137 00:07:33,080 --> 00:07:36,120 Speaker 2: deal with these really complex logistics of moving your product 138 00:07:36,200 --> 00:07:40,160 Speaker 2: around the world, you can go to a quantum computing 139 00:07:40,200 --> 00:07:43,200 Speaker 2: facility and have it answer some of your questions. So 140 00:07:43,800 --> 00:07:46,680 Speaker 2: up until recently, a lot of the demonstrations of these 141 00:07:46,720 --> 00:07:49,880 Speaker 2: things were really theoretical and kind of high minded. For example, 142 00:07:49,960 --> 00:07:52,320 Speaker 2: last year, Google made a big announcement in the quantum 143 00:07:52,360 --> 00:07:55,760 Speaker 2: computing world where they said that their quantum computer was 144 00:07:55,800 --> 00:07:58,480 Speaker 2: able to solve a problem, a math problem that would 145 00:07:58,480 --> 00:08:02,840 Speaker 2: have taken a traditional computer and septillion years to solve. Right, 146 00:08:03,200 --> 00:08:06,360 Speaker 2: that is sort of their demonstration of how this technology works. 147 00:08:06,600 --> 00:08:09,720 Speaker 2: But like people aren't throwing those equations around on their 148 00:08:09,800 --> 00:08:12,200 Speaker 2: day to day basis, right, that's not something that is 149 00:08:12,280 --> 00:08:17,080 Speaker 2: really practically applicable to most people now, though IBM says 150 00:08:17,120 --> 00:08:19,080 Speaker 2: they're starting to move into the real world in a 151 00:08:19,120 --> 00:08:22,680 Speaker 2: more substantial way. Logistics is a big one, obviously, dealing 152 00:08:22,760 --> 00:08:25,880 Speaker 2: with really complex problems and a huge amount of variables 153 00:08:25,920 --> 00:08:29,679 Speaker 2: in that industry. Another one is the financial services sector. 154 00:08:30,080 --> 00:08:34,000 Speaker 2: Last month, HSBC announced that they used IBM's quantum computer, 155 00:08:34,080 --> 00:08:35,840 Speaker 2: the same kind of one that runs in New York, 156 00:08:36,240 --> 00:08:40,280 Speaker 2: to help predict bond trading far more accurately and far 157 00:08:40,320 --> 00:08:43,360 Speaker 2: more quickly than they had been able to before. This 158 00:08:43,440 --> 00:08:45,840 Speaker 2: was a pretty limited test. It happened in Europe, but 159 00:08:46,000 --> 00:08:48,480 Speaker 2: if IBM is to be believed pretty soon, that is 160 00:08:48,520 --> 00:08:50,680 Speaker 2: going to be your money that is going to be 161 00:08:50,720 --> 00:08:54,120 Speaker 2: traded back and forth using these quantum computers that run 162 00:08:54,200 --> 00:08:57,080 Speaker 2: these specific algorithms that go alongside it is sounding. 163 00:08:57,520 --> 00:08:59,920 Speaker 1: I'm assuming that when you ask the question, you have 164 00:09:00,080 --> 00:09:05,200 Speaker 1: to ask an old school or a computer that we 165 00:09:05,240 --> 00:09:08,320 Speaker 1: know that then translates the question to the quantum computer. 166 00:09:08,360 --> 00:09:09,480 Speaker 1: Do I have that right? Yeah? 167 00:09:09,520 --> 00:09:11,360 Speaker 2: Exactly, Okay, that's. 168 00:09:11,240 --> 00:09:14,160 Speaker 1: Pretty interesting stuff, say the Beast Mike. Then thank you 169 00:09:14,280 --> 00:09:17,319 Speaker 1: very much. No, I'm just saying thank you. I'm taking 170 00:09:17,440 --> 00:09:21,120 Speaker 1: you off the air. Thank you. Okay, you're done, goodbye. 171 00:09:21,440 --> 00:09:22,760 Speaker 1: Do something with yourself. 172 00:09:22,960 --> 00:09:24,920 Speaker 2: Yeah yeah, all right, make myself useful, take care,