On the Edge of Tomorrow - Quantum and AI Shape the Future

Press Day 2021
at IBM Research Europe – Zurich

23 & 24 November 2021

 

On the Edge of Tomorrow
Quantum and AI Shape the Future

Press Day 2021
at IBM Research Europe – Zurich

23 & 24 November 2021

 

 

 

 

Introduction from IBM Research Director, SVP Dr. Dario Gil

 

 

 

Agenda

 

View or download the PDF agenda here.

To read the abstracts in the agenda below, please click on the session title.

 

Day 1

Quantum Computing and Exploratory Science

13:35 – 13:45 CET (7:35 – 7:45 ET)
Welcome

Alessandro Curioni
Dr. Alessandro Curioni
IBM Fellow
Vice President Europe and Africa, Research
Director IBM Research – Zurich

Quantum | Qubits: The Power of Small

13:45 – 14:00 CET (7:45 – 8:00 ET)
Keynote on Quantum: The Eagle, Quantum System Two, and the future

PRESS KIT

Heike Riel
Dr. Heike Riel
IBM Fellow
Department Head Science & Technology

14:00 – 14:30 CET (8:00 – 8:30 ET)
Panel discussion: Are we ready for the benefits of quantum computing?

Moderated by Katia Moskvitch

PRESS KIT

Heike Riel
Dr. Heike Riel
IBM Fellow
Department Head Science & Technology

Speaker
Dr. Alberto Di Meglio
Head of OpenLab, CERN
Speaker
Arunima Sarkar
AI Lead, World Economic Forum
Speaker
Dr. Lidia del Rio
Physicist, ETH
Speaker
Dr. Hannah Venzl
Competence Network
Quantum Computing
Fraunhofer Institute

14:30 – 14:50 CET (8:30 – 8:50 ET)
Fireside chat: Unlocking the power of quantum algorithms for the financial industry

Moderated by Leonid Leiva Ariosa

PRESS KIT

  Stefan Woerner
Dr. Stefan Woerner
Global Leader Quantum Finance & Optimization

Christa Zoufal
Dr. Christa Zoufal
Research Staff Member

 

14:50 – 15:10 CET (8:50 – 9:10 ET)
A deep dive into the Eagle 127-qubit IBM Quantum Eagle processor

PRESS KIT

Speaker
Dr. Zaira Nazario
Technical Lead Quantum

15:30 – 16:00 CET (9:30 – 10:00 ET)
The future for AI & Quantum for accelerated discovery

PRESS KIT

Teodoro Laino
Dr. Teodoro Laino
Distinguished Research Staff Member & Manager
Pauline Ollitrault
Dr. Pauline Ollitrault
Research Staff Member

 

16:00 – 17:30 CET (10:00 – 11:30 ET)
Lab tours

Quantum computing


Andreas Fuhrer
Dr. Andreas Fuhrer
Research Staff Member

Photonics


Thilo Stoeferle
Dr. Thilo Stoeferle
Research Staff Member

RoboRXN


Teodoro Laino
Dr. Teodoro Laino
Distinguished Research Staff Member & Manager

AFM


Leo Gross
Dr. Leo Gross
Research Staff Member

Exploratory Science

17:40 – 18:10 CET (11:40 – 12:10 ET)
Interactive fireside chat: Making light liquid for optical computing of the future

Moderated by Leonid Leiva Ariosa

PRESS KIT

Thilo Stoeferle
Dr. Thilo Stoeferle
Research Staff Member

 

Laser photonics

 

Day 2

Accelerated Discovery | AI | RoboRXN

08:45 – 09:00 CET (2:45 – 3:00 ET)
Opening remarks

Angela Harp
Angela Harp
Communications

AI & Cloud | Smart machines to help humans thrive

09:00 – 09:15 CET (3:00 – 3:15 ET)
Opening keynote: AI and Hybrid Cloud helping to improve the world

 Robert Haas
Dr. Robert Haas
Department Head, Cloud and AI Systems Research

09:15 – 09:45 CET (3:15 – 3:45 ET)
Fireside chat: Tape for Hyperscalers

PRESS KIT

 Mark Lantz
Dr. Mark Lantz
Manager, CloudFPGA and Tape Technologies

09:45 – 10:15 CET (3:45 – 4:15 ET)
Panel discussion: How hybrid cloud and AI advances are pushing AI to the Edge

Moderated by Katia Moskvitch

PRESS KIT

 Robert Haas
Dr. Robert Haas
Department Head, Cloud and AI Systems Research

Abdel Labbi
Dr. Abdel Labbi
IBM Distinguished Engineer
Department Head, Data & AI Platforms
Patrick Ruch
Dr. Patrick Ruch
Research Staff Member
Cristiano Malossi
Dr. Cristiano Malossi
Research Staff Member & Manager

10:45 – 11:05 CET (4:45 – 5:05 ET)
Interactive presentation: IBM Pathfinder - Hybrid Cloud Data Governance tool

PRESS KIT

Sean Rooney
Dr. Sean Rooney
Research Staff Membe

11:05 – 11:45 CET (5:05 – 5:45 ET)
Panel discussion: Human-like AI, Neurosymbolic AI & Neuromorphic computing research

Moderated by Katia Moskvitch

PRESS KIT

Abbas Rahimi
Dr. Abbas Rahimi
Research Staff Member

Angeliki Pantazi
Dr. Angeliki Pantazi
Research Staff Member & Manager
Irem Boybat
Dr. Irem Boybat
Research Scientist
Dan Gutfreund
Dr. Dan Gutfreund
Research Staff Member

 

13:00 – 14:00 CET (7:00 – 8:00 ET)
Demos at the Think Lab

Generative toolkit for scientific discovery

Matteo Manica
Dr. Matteo Manica
Research Staff Member

Deep Search AI

Peter Staar
Dr. Peter Staar
Research Staff Member & Manager

AI for civil infrastructure inspection

Chiara Marchiori
Dr. Chiara Marchiori
Research Staff Member

Speech transcription

thomas bohnstingl
Thomas Bohnstingl
Predoctoral researcher

Making our world more sustainable and safer with AI

14:15 – 15:00 CET (8:15 – 9:00 ET)
Panel discussion: A deep dive into RoboRXN – Creating a molecule live

Moderated by Angela Harp, with Dr. Teodoro Laino and industry collaborators

PRESS KIT

Teodoro Laino
Dr. Teodoro Laino
Distinguished Research Staff Member & Manager

15:00 – 15:45 CET (9:00 – 9:45 ET)
Panel discussion: Emerging technologies to make our world more sustainable

Moderated by Angela Harp

PRESS KIT

Peter Staar
Dr. Peter Staar
Research Staff Member & Manager
Kommy Weldemariam
Dr. Kommy Weldemariam
Chief Scientist & Master Inventor
Edward Pyzer-Knapp
Dr. Edward Pyzer-Knapp
Research Lead, Machine Learning and AI
Matteo Manica
Dr. Matteo Manica
Research Staff Member
Laura Gardiner
Dr. Laura Gardiner
Research Staff Member

Security advances: Keeping the world secure

16:00 – 16:15 CET (10:00 – 10:15 ET)
Keynote: What’s new with IBM security research

PRESS KIT

16:00
Dr. Marc Stoecklin
Principal Research Staff Member
Department Head, Security

16:15 – 16:45 CET (10:15 – 10:45 ET)
Fireside chat: AI Security

Moderated by Leonid Leiva Ariosa

PRESS KIT

Beat Buesser
Dr. Beat Buesser
Research Staff Member
Abigail Goldsteen
Dr. Abigail Goldsteen
Research Scientist

16:45 – 17:00 CET (10:45 – 11:00 ET)
Central Bank Digital Currency

PRESS KIT

Elli Androulaki
Dr. Elli Androulaki
Distinguished Research Scientist & Manager
Angelo De Caro
Dr. Angelo De Caro
Research Staff Member
Kaoutar El Khiyaoui
Dr. Kaoutar El Khiyaoui
Research Staff Member

17:00 – 17:30 CET (11:00 – 11:30 ET)
Panel discussion: Privacy and encryption – New developments

Moderated by Leonid Leiva Ariosa

PRESS KIT

Julia Hesse
Dr. Julia Hesse
Postdoctoral Researcher
Luca De Feo
Dr. Luca De Feo
Research Staff Member
Bertram Poettering
Dr. Bertram Poettering
Research Staff Member
Michael Osborne
Michael Osborne
Principal Research Scientist & Manager

 

Abstract: With the quantum technology maturing – Quantum System One being installed around the world, how can the world get quantum-ready today?

In this session, you’ll hear about the necessary future regulations around this emerging technology. We’ll debate on the need for quantum computing to remain open access, about the necessary infrastructure for this technology to truly flourish, about education and awareness raising – not just when it comes to physics and computer science graduates, but also high schoolers and workers from diverse, very diverse fields.

Abstract: We have developed new quantum algorithms that could enable risk analysis of investment portfolios in nearly real time. Today, such analyses can take many hours to perform, so an immediate reaction on changing circumstances is impossible.

Other applications where quantum algorithms may benefit the financial industry include pricing options and portfolio optimization, as well as the detection of credit card fraud, to just name a few. In this session, we will cover the main use cases and discuss the latest developments from our collaborations with financial institutions.

Abstract: This session is currently under embargo, pending an imminent announcement.

Abstract: This session will dive into the different ways RoboRXN and new quantum software tools such as the Qiskit application modules for chemistry, both developed by IBM researchers mainly at the Zurich Lab, are putting materials discovery on the fast track. These technologies should help us develop better batteries, among other things – improving their storage capacity and addressing sustainability.

Abstract: Move over, Star Wars. Despite what Lucasfilm wants us to believe, light does not interact with light, and one light beam can cross another without affecting it in any way. To force such interaction, we need matter to mediate it.

Such interaction would pave the way to optical computing, replacing electricity with light to greatly speed up our gadgets and lower power consumption. Researchers have been studying it for decades, betting on advances in nanotech, quantum tech, and newly developed materials. And our team has recently reached an important milestone.

Using a new class of optoelectronic materials – perovskite nanocrystals – we've been able to switch a light beam on and off using the smallest possible quantum of energy, a single photon. The electronic switches in today’s gadgets, the transistors, need about 100 times more energy and are still 100 times slower than our light switch.

There is still a long way until this becomes a useful technology though. Our switches need to be supplied with laser power that consumes energy to generate it. We are now investigating the so-called “supercrystals” assembled from tiny perovskite nanocrystals that might help us greatly reduce the energy consumption. The research could lead to the development of new materials and photonic structures able to emit and absorb light extremely efficiently – impacting the development of ever brighter and more efficient light sources and photovoltaics.

Abstract: Accelerated Discovery is only possible when we can weave together very specialized computing technologies and data in a seamless manner, using the hybrid cloud. This supercharged implementation of the scientific discovery method thrives on data. But that works only if data is kept and made available in a timely, cost-effective, and controlled way. It’s crucial – and these upcoming sessions will illustrate why.

Abstract: Currently we produce 2.5 quintillion bytes of data on a daily basis, mainly due to the continuous rise of the Internet of Things (IoT), the emergence of high-definition 4K/8K videos and AI-based big-data analyses. At the rate we’re going, worldwide data is expected to hit 175 zettabytes by 2025, representing 61 percent annual growth. One ZB is equivalent to a trillion gigabytes (GB) – the latest cellphones have 256 GB.

So where is all this data being stored?

Magnetic tape – a technology more than 60 years old – is making a huge comeback among hyperscale cloud companies for data storage due to its low cost, low power consumption, and its excellent future scaling potential compared to HDD. But developing a high-performance tape library system to meet service-level agreements can be challenging and costly.

In this fireside chat, Dr. Mark Lantz will talk about a new paper on tape storage libraries (which won the Best Paper Award at the Mascots conference in Nov. 2021), and the renaissance of tape. He will introduce a novel analytical model that accurately captures the principal aspects of tape library operation to help hyperscalers like OVH and Microsoft better design their tape storage libraries to keep cold data from going dark.

Abstract: The number of connected IoT devices has skyrocketed in recent years and the trend is set to continue at an even faster pace. By 2025, predictions put IoT device ownership at 3 per person worldwide, while the amount of data generated will reach a whopping 80 zettabytes. At IBM, researchers are creating the infrastructure to extract the most value from the growing amount of data in a secure and ethical way. We focus on open tools and a hybrid multi-cloud approach and develop the technology to exploit that infrastructure. In this session we will include discussions of applications in AI-assisted chemical sensing and monitoring of large-scale infrastructure such as bridges, wind turbines and others.

Abstract: IBM Research’s new tool, IBM Pathfinder, uses AI to crawl through distributed data processing activities of an enterprise – and extracts metadata to updates a map of the company’s activities in real time. It can be used to give a wide variety of views of an observed space, such as the storage locations of the data and the relationships between data assets. In this session, you will see a demo of the Pathfinder system – and learn what it can do for a company and how it can simplify everyone’s life.

Abstract: Today, machines translate languages, recognize objects and spoken speech. But ask a smartphone assistant something more complex than a basic command, and it will struggle.

Machines with common sense, which rely on an emerging AI technique known as neurosymbolic AI, could greatly increase the value of AI for businesses and society. It learns like human infants, and combines the original, symbolic, AI with deep neural networks that have helped revolutionize the AI field over the past few decades. Deep learning has achieved outstanding success in many AI tasks – resulting in human-like performance at a much higher power than the ~20 watts required by the human brain.

But the lack of common sense isn’t all. In addition to neurosymbolic AI, we are also looking into biologically-inspired computing aspects for the next generation AI systems – what's known as neuromorphic computing. We’ve developed spiking neural units (SNUs) that add biologically-inspired neural dynamics into deep learning – drastically cutting computational cost and the inference time of the speech-to-text transcription. It’s the first successful attempt at demonstrating biologically-inspired deep learning for a fairly involved task – and could greatly improve today’s speech recognition products. This is what this session is about – the ongoing, mind-blowing progress in making AI truly ‘smart’.

Abstract: In this panel discussion, Dr. Teodoro Laino will tell the story of IBM RoboRXN, a cloud-based AI-automated chemistry lab that can cut the discovery and production time of a material in half.

Dr. Laino will show you how he and his team are revolutionizing the art of making materials. He will demonstrate how a chemist can create a molecule remotely from anywhere in the world. But most importantly, he will highlight the vast application potential of IBM RoboRXN by introducing you to an array of industries partners who are currently adopting the technology into their workflows to accelerate more efficient molecular discoveries.

By the end of this session, you will not only understand how IBM RoboRXN can boost a range of initiatives across drug, chemical and molecule discovery; you will also learn about new technical features that support proprietary datasets and allow chemists to predict the most effective and sustainable enzymatic reactions that are critical for greener chemical processes; most importantly, you will also see how a budding technology is making its way from research to commercialization, building a community of chemists and R&D specialists along the way.

IMPORTANT: There will be an EMRARGOED announcement in regard to RoboRXN - taking this technology to exciting new heights!

Abstract: With the COP26 summit just a few weeks behind us, the discussions around how to accelerate action towards the goals of the Paris Agreement and the UN Framework Convention on Climate Change are still fresh in our minds. IBM Research believes that using the latest tech and science to accelerate the discovery and development of new materials and techniques is the way forward. This panel will focus on scientific breakthroughs aimed at helping the world deal with the negative impacts of climate change and improving sustainability.

We have just introduced you to IBM RoboRXN for Chemistry. Now we are going to show you how this cloud-based AI-driven autonomous lab along with other AI tools such as Deep Search and generative machine learning models are accelerating the discovery of new materials, including complex polymers and materials for carbon CO2 capture and separation. We will show you how AI is playing a key role in helping researchers identify more biodegradable materials whose byproducts will be kinder to the environment if they end up in the ocean or accumulate in the tissue of living things. Our panelists of IBM researchers will talk passionately about how they are combining materials science, cloud computing and AI to accelerate the discovery of climate change solutions.

Abstract: AI and data are the motors of economic and societal progress today and in the coming decades. It is essential that this technological revolution puts trust front and center. In this session we will discuss the very latest technological developments out of IBM Research to build trustworthy AI that is robust against adversarial attacks and preserves the privacy of sensitive information in training data sets. These techniques are essential for compliance with data protection and AI regulations such as the EU’s GDPR and new upcoming legal frameworks on AI.

Abstract: Cryptocurrency is one of the hottest topics in fintech. But it’s not just about Bitcoin, Ethereum and so on - central banks are also entering the market and exploring digital currencies. In this session, IBM researchers will reveal how they are working with Euroclear, the Central Bank of France, and other institutions in an experiment to make decentralised Central Bank Digital Currencies a reality.

Abstract: IBM cryptography researchers will report in this session on their latest achievements in using cryptographic techniques to improve trust in everything from password privacy to email encryption and analytics of sensitive data. The discussions will touch on new login protocols that do not require revealing users' passwords, vulnerabilities found in widely used email encryption tools and an advanced technique that allows encrypted data to be processed without having to be decrypted.

 

Questions?
Ask your hosts

Questions?
Ask your hosts

Katia Moskvitch

Katia Moskvitch
kam@zurich.ibm.com
@scitech_cat

Research Communications Lead Europe

Angela Harp

Angela Harp
amh@zurich.ibm.com
@harp_comms

Research Communications

Visiting IBM Research Europe – Zurich

IBM Research Europe – Zurich campus

Sketch of ZRL campus
[ Click to enlarge ]

Address

IBM Research GmbH
Säumerstrasse 4
CH–8803 Rüschlikon
Switzerland
Tel. (+41) 44 724 8111
GPS coordinates: 47.309820, 8.545411

Directions to IBM Research Europe – Zurich

Get directions online

A taxi from Zurich airport takes 30 to 40 minutes and costs approximately CHF 100 (CHF 50 from downtown Zurich).

It is considerably less expensive (approx. CHF 10 to 16) by train, see details below.

A bus from Zurich Bürkliplatz takes you almost to the door of the IBM Research – Zurich site in Rüschlikon, see details below.

By public transportation (click to open or close)

You can find information about public transportation around Zurich at the ZVV website. Please make sure you have a valid ticket before you board a train, tram or bus. You can get these tickets from vending machines or ticket counters at the Zurich Airport and Zurich main station (on buses with 3-digit numbers you can buy a ticket from the driver if there is no ticket machine at the bus stop). There are random ticket inspections on trains, trams and buses and you will be fined 90 CHF (plus the ticket) if you are caught traveling without a valid ticket—no exceptions made for foreigners.

Timetables and fares for public transportation throughout Switzerland can be found here. Enter, for example, “Zurich airport” as the point of departure and “Ruschlikon, Saumerstrasse” as the destination.

From the Rüschlikon train station (click to open or close)

Upon arriving at the Rüschlikon train station from Zurich, walk back about 200 m towards Zurich. Pass under the tracks and under Nidelbadstrasse. Here you can either wait for the bus (the bus stop is directly over the underpass), or continue walking up the hill via Vordergasse, the narrow lane right at the bus stop. (Not recommended on icy days or for guests with luggage.) Cross Alte Landstrasse and continue up Burain lane. Take the right-hand fork at the top of the steps. Continue along the path and up more steps to reach Säumerstrasse, then turn right and continue to the IBM site.

By bus (click to open or close)

Bus No. 165 takes you from Zurich Bürkliplatz at the lake to Rüschlikon “Säumerstrasse” bus stop, see maps. Note that this bus is only convenient if you are already in downtown Zurich. From the main train station, take tram 11 towards “Rehalp” to get to Bürkliplatz. The bus stop is located in the Bahnhofstrasse just off Bürkliplatz.)

See schedules: Go to Timetables.

By car (click to open or close)

Coming southbound from the airport or downtown Zurich:

Follow green signs “Zurich” — “A1 / A4 Nordring ” — “A3 Westring / Chur”. Take exit “Thalwil / Rüschlikon”. At end of ramp, enter the roundabout and take 2nd exit onto Eggstrasse. At the next roundabout, take the 1st exit (=turn right) onto Feldimoosstrasse, then left at the next intersection onto Säumerstrasse.

Coming northbound on freeway A3:

Take exit “Thalwil/Rüschlikon/Adliswil”. At end of ramp, enter the roundabout and take the 1st exit (=turn right), following signs to “Adliswil/Rüschlikon”. At the next roundabout, take the 1st exit (=turn right), then at the 3rd roundabout, take the 1st exit (=turn right) onto Feldimoosstrasse, then left at the next intersection onto Säumerstrasse.

By rental car (click to open or close)

Note that all cars using Swiss freeways (motorways) have to display a toll sticker called a “vignette” attached to the windshield. One can buy a vignette for CHF 40 at border crossings and customs offices as well as at gas stations throughout Switzerland. They are valid for the calendar year. This means that, although it is no problem to take, for example, a German rental car into Switzerland, you will most likely have to buy and attach a Swiss vignette yourself, because German cars do not necessarily have them. Please also note that most car rental companies charge a considerable additional fee if you return a German rental car in Switzerland.

Here is information about the Swiss freeway vignette.

On foot (click to open or close)

To walk up the hill from Rüschlikon train station to IBM Research – Zurich’s site, pass under the tracks and under Nidelbadstrasse. Continue walking up the hill via Vordergasse, the narrow lane right at the bus stop (not recommended on icy days or for guests with luggage.) Cross Alte Landstrasse and continue up Burain lane. Take the right-hand fork at the top of the steps. Continue along the path and up more steps to reach Säumerstrasse, then turn right and continue to the IBM site.

Approx. 15 minutes uphill.

Way to ZRL campus