Quantum

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This week on The Digital Life, we discuss the strange and exciting world of quantum computing. Quantum computers operate on an atomic level, harnessing the power of quantum mechanics to perform processing tasks much more rapidly than computers designed using classical physics. They have the potential to perform calculations much, much faster than any of our silicon-based super computers today — up to 100 million times faster, in fact.

Research in quantum computing has up until recently, been largely theoretical, with the practical technology needed to achieve it beyond reach. But now both Google and D-Wave, a Canadian company, have made some significant progress. Will there be a coming revolution in computing power? Will quantum computers one day replace our silicon chip based computing devices?

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Quantum Computing

In this episode we explore Quantum Computers, from the basic theory to the potential applications, as well as many myths and misconceptions this groundbreaking technology has accumulated.

Watch the video: https://youtu.be/wgCuKTN8sX0

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Music by
Dexter Britain, "Seeing the Future"
Kai Engel, "December"
Lombus, "Hydrogen Sonata"
Koalips, "Kvazar"
Frank Dorittke, "Morninglight"
Brandon Liew, "Into the Storm"

Quantum computation could hold the key to being able to simulate matter exactly. This week we have an extended interview with Professor Alán Aspuru-Guzik, from Harvard University, to find out what a quantum computer is, how it works and how it can be used in chemistry.

Links:
- https://pubs.acs.org/doi/abs/10.1021/acscentsci.7b00550 (The Matter Simulation (R)evolution)

Credits:
- Support: TMCS, EPSRC
- Theme music: from "Earnest's Understanding" © 2017 Charles Ormrod

Prof. Ahmed Banafa  I Named the No. 1 Top Voice To Follow in Tech by LinkedInOne, Prof. Ahmed Banafa of San Jose State University, one of the top IoT writers, speakers and thought leaders, with research published on Forbes, MIT Technology Review, ComputerWorld, Techonomy, he is a contributor to IEEE-IoT, LinkedIn, IBMCloud, IBM Big Data Analytics Hub, HPE Insights and he has appeared as an expert in new tech with appearances on ABC, NBC , CBS, FOX and other media outlets.  Our conversation covered a lot of ground, focusing on IoT from the perspectives of Technology, business and society.  We discussed the different dynamics at play across consumer and enterprise technology, the regulatory backdrop, and the evolving demands around security safety and privacy.  Banafa weaves in broad perspective on the dynamics of the IoT industry and provides details insights into the power of AI and Machine Learning as well as Blockchain technology.  Looking forward he sees the rise of quantum computing as one of the most consequential innovations ahead of us.

#11 The Rise of Quantum Computing - Prof. Ahmed Banafa

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.

Episode 133: IBM on Quantum Computing

The September issue of Waters will mark our 25th anniversary as a publication. For it, Anthony and James spoke with over three-dozen senior executives in technology to hear their thoughts as to which technologies and enhancements will transform the capital markets over the next quarter century. For the podcast, they provide some takeaways from those discussions. Check out the September issue of Waters for a full look back at advancements in the space over the previous 25 years and look ahead at what's still to come.

Episode 135: The Most Important Technologies of the Future

Gerard Francis, global head of enterprise data for Bloomberg, joins Anthony Malakian on the podcast to discuss data fragmentation issues in the capital markets.

Bloomberg announced this week the launch of Enterprise Access Point, an online open data and linked data platform that provides normalized reference, pricing, regulatory and historical datasets for Bloomberg Data License clients. Toward the end, they get into the product itself a bit more, but the point of this podcast is to look at the underlying trends that led to the launch of Enterprise Access Point and, specifically, the challenges firms are facing when it comes to data fragmentation.

1:15 Gerard joins the podcast and gives a quick primer on Bloomberg’s Enterprise Data business.
 
2:15 Why is data fragmentation becoming more of an issue in today’s environment?

6:00 The cost of data.

7:30 The difference between dirty data and quality data. 

10:00 Examples of challenges that arise when data fragmentation becomes an issue.

12:00 The rise of the Chief Data Officer (CDO).

14:30 As the number of datasets available continues to increase, firms need to improve the firm’s data acquisition and usage culture. 

16:30 The need to get the data model right and a look at some new methods/techniques being used for data modeling. 

19:15 Where should firms direct their investments in terms of data management and data governance?

22:00 What was the genesis of Enterprise Access Point?

25:30 How does the solution work and what data will be available?

28:00 As alternative data becomes more prevalent, how are company’s looking to help users better handle this flood of information? 

30:00 Who are the prime candidates to take advantage of Enterprise Access Point?

Episode 137: Bloomberg on Data Fragmentation

This week, Eric Bernstein, president of Broadridge’s asset management solutions business, joins the podcast to discuss some of the challenges that buy-side firms in the Asia-Pacific (APAC) region are facing, as they try an incorporate emerging technologies amid a fragmented regulatory environment. Before that, Anthony and James talk about two companies that are changing course. 
 
1:00 IHS Markit has decided to take MarkitSERV, its post-trade processing business, off the market. Anthony and James look at potential reasons for the decision.
 
10:15 Algomi is shifting its focus toward its Alfa platform. It’s been a series of ups-and-downs for the vendor, and Anthony and James examine what this next move can move
 
19:30 Eric joins the podcast. As buy-side shops try to incorporate new technologies, including artificial intelligence (AI) and blockchain, what have been some of the main challenges?
 
21:00 How have data needs changed?
 
22:30 Eric breaks down the fragmented regulatory environment in APAC.
 
28:30 He then looks at how firms in Asia are embracing the cloud and fintech sandboxes.
 
31:30 He then gives his views on blockchain, and what its development will look like going forward.
 
38:00 And then a look at AI.
 
40:45 The importance of having a single source of data.

Episode 139: Broadridge on Emerging Tech in APAC

This week, Octavio Marenzi, co-founder and CEO of Opimas, joins the podcast to look at how capital markets firms are incorporating web-scrapping tools in their investment processes, and examines some of the key challenges they face. But before that, with the Blackstone-led consortium’s acquisition of Thomson Reuters’ Financial & Risk business closed, Anthony and James talk about what might be ahead for the newly renamed Refinitiv.
 
2:30-11 A look at Refinitiv.
 
11:30 In a recent report, Marenzi and his colleague Anna Griem looked at the web data extraction market. He explains why they thought this would be an interesting sector to examine.
 
13:00 What information are hedge funds, asset managers and others trying to find, and what types of tools are they using?
 
16:00 One major trend in the space is a move away from building internally and toward spending with third-party companies.
 
18:00 What are the common causes of these projects going awry?
 
24:00 Looking at the internet as the ultimate dataset and examining some of the legal implications—including the General Data Protection Regulation (GDPR)—that could hinder the market’s development.
 
28:00 Who are the vendors in the space?

Episode 140: Web Data Extraction & Refinitiv Update

Wei-Shen Wong and Anthony Malakian discuss the hottest financial technology topics in the capital markets every week.

Episode 133: IBM on Quantum Computing

Waters Wavelength Podcast