Listen "Episode 133: IBM on Quantum Computing"
Episode Synopsis
Kathryn Guarini, vice president of IBM Industry Research, and Bob Sutor, vice president of IBM Q strategy and ecosystem for IBM Research, talk with Anthony about advancements that have been made in the quantum space and explore what might be ahead.
2:45 Bob starts off by explaining where we are today with quantum development, how we got here and what some of the next benchmarks might be.
6:00 With over 94,000 individuals having used IBM Q’s environment, Kathryn examines why people in the financial services industry are starting to get interested in the topic.
8:00 Bob provides what he believes is a realistic timeline for a commercial quantum computer.
11:15 Then Bob explains how providers in the quantum computing space are both working together and competing against one another, at the same time.
13:00 Kathryn points to Monte Carlo simulations and intraday analytics as being areas that could potentially be improved by a quantum computer.
15:45 While some have posited that quantum computing could potentially break a blockchain’s security measures, Bob thinks those predictions are unjustified. But, the industry does need to think about new ways to encrypt information.
22:00 Banks and asset managers already are coping with clunky, legacy infrastructure technologies. Kathryn and Bob explore how firms are already thinking about improving their existing infrastructures to capitalize not only on quantum advancements, but new technologies, in general.
29:45 To the above topic, Kathryn provides insight into how firms are looking to combine QC with advancements in the field of machine learning.
33:30 While much of this discussion was more theoretical and forward-looking, Bob gives a look into what IBM Q currently has on its development roadmap.
38:30 If you’re interested in experimenting with a quantum computer, here’s how.
2:45 Bob starts off by explaining where we are today with quantum development, how we got here and what some of the next benchmarks might be.
6:00 With over 94,000 individuals having used IBM Q’s environment, Kathryn examines why people in the financial services industry are starting to get interested in the topic.
8:00 Bob provides what he believes is a realistic timeline for a commercial quantum computer.
11:15 Then Bob explains how providers in the quantum computing space are both working together and competing against one another, at the same time.
13:00 Kathryn points to Monte Carlo simulations and intraday analytics as being areas that could potentially be improved by a quantum computer.
15:45 While some have posited that quantum computing could potentially break a blockchain’s security measures, Bob thinks those predictions are unjustified. But, the industry does need to think about new ways to encrypt information.
22:00 Banks and asset managers already are coping with clunky, legacy infrastructure technologies. Kathryn and Bob explore how firms are already thinking about improving their existing infrastructures to capitalize not only on quantum advancements, but new technologies, in general.
29:45 To the above topic, Kathryn provides insight into how firms are looking to combine QC with advancements in the field of machine learning.
33:30 While much of this discussion was more theoretical and forward-looking, Bob gives a look into what IBM Q currently has on its development roadmap.
38:30 If you’re interested in experimenting with a quantum computer, here’s how.
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