- Acronis is a global leader in cyber protection with over 5.5 million prosumers and $250 million in revenue. It has dual headquarters in Switzerland and Singapore. - The document discusses future computing technologies like quantum computing, photonic computing, brain-inspired computing and their potential to solve problems beyond the capabilities of classical computers. It also discusses challenges like fundamental physical limits, heat dissipation and the need for new materials and algorithms. - A new research university called SIT is proposed to address global challenges through technology and innovation in areas like cybersecurity, AI, quantum technologies and new materials. It will be located in Schaffhausen, Switzerland near the Rhein Falls and partner with top universities

1. 1Proprietary and Confidential © 2019Dual headquarters
in Switzerland and Singapore
Future Of Computing
Serguei “SB” Beloussov
Acronis CEO, Founder of SIT

2. 2Proprietary and Confidential © 2019
Acronis is the Global Leader in Cyber Protection
100% of Fortune 1000 • 50,000+ partners • 500,000+ businesses
5,500,000+ prosumers • 150+ countries • 33+ locations
$250M+ Revenue 50%+ Growth 1500+ Employees
Dual Headquarters for
Dual Protection
Corporate HQ
in Schaffhausen since 2008
Founded in 2003 in Singapore
International HQ
$1B+ ($150M)
Acronis Cyber
Dragon “Unicorn”

3. 3Proprietary and Confidential © 2019
The Universe is a Computer – Computers can be
used to predict Universe
https://video.ethz.ch/speakers/bernays/2019.html Hurricane Dorian Forecast

4. 4Proprietary and Confidential © 2019
Turing Machine and Von Neumann Architecture
John Von Neumann in front of MANIAC-1 at Princeton IAS, 1952
The Church-Turing Thesis
“Computable” = Turing-computable
Fundamental principle linking computer science to the real world

5. 5Proprietary and Confidential © 2019
Moore’s Law
Compute-Data Gap Grows Current Practical Limit
Smallest silicon transistor in 2019 has 2.5nm gate –
that’s just 12 atoms of Si. According to the ITRS
semiconductor roadmap, transistor size will stop
shrinking in 2021
Fundamental Limits for Digital Computers
Bremmerman’s Limit
Based on Einstein's mass-energy equivalency and
the Heisenberg uncertainty principle
c2/h ≈ 1.36 × 1050 bits per sec per kg
• 1017 for current CPUs (75 years left)
Margolus–Levitin Bound
A system of energy E needs at least a time of h/4E to go
from one state to another.
The processing rate cannot be higher than
6 × 1033 operations per second per joule of energy.
• 1013 for current CPUs (60 years left at the current rate)
Scott Aaronson estimates that
we will hit hard limits in 25 years

6. 6Proprietary and Confidential © 2019
FLIR images of Raspberry Pi motherboard
Hottest problems of current silicon chips
Performance
and throughput
Power
Consumption
Transistor Size
(and Die Size)

7. 7Proprietary and Confidential © 2019
Unlikely to be solved by classical digital
computers ever
• Decidable, as established by Tarski in 1949
• But algorithm to decide would take longer than the age of Universe for ENIAC in 1950
• Still true for the whole Google computing power in 2019
P = NP?
Example: Cauchy’s inequality – scalar product of 2 vectors is not larger than product of their magnitudes
𝑎 ⋅ 𝑏 ≤ 𝑎 𝑏
Electron trajectories in a two-dimensional interacting
plasma simulation, relevant for the quantum Hall effect
Example: Many Body Problem
• Solving many body problem needs much more powerful
computers than we have today – but it will give us
complete control over the physical matter
(Schrödinger's Equation)
Example: Large Integer Prime Factorization
• Many cryptographic protocols are based on the difficulty
of factoring large composite integers or a related problem
(for example, the RSA problem)
• An algorithm that efficiently factors an arbitrary integer
would render most of today’s public-key cryptography
insecure

8. 8Proprietary and Confidential © 2019
Real-world problems need better computers to solve
Wars and Violence
Environment and Global Warming
Spreading of Poverty
Diseases and Ageing
Space and Universe challenges

9. 9Proprietary and Confidential © 2019
What is in a computer?
“Old Brass Brains” (or more formally, Tide-Predicting Machine No. 2) – calculated tide
tables for the U.S. Coast and Geodetic Survey from 1912 until 1965
Compute Storage Networking

10. 10Proprietary and Confidential © 2019
CPU, GPU, TPU
TPU v3.0 (pictured) packs ~90 TeraFLOPS per board and uses liquid cooling
CPU GPU TPU
Compute primitive Scalar Vector Tensor
Memory Subsystem Implicitly Managed Mixed Explicitly Managed
Initial Design Goals General Purpose Graphics Rendering Machine Learning
Intended Usage General Purpose Stream Processing
ML Model Training/Inference –
optimized for 8bit and shorter
data types (enough for images)

11. 11Proprietary and Confidential © 2019
Various Neuromorphic designs
Intel Loihi chip – 128 cores, optimized for
biologically inspired Spiking Neural
Networks (SNN)
HPE Dot-Product Engine demonstrator -
parallel analog computation with large-
scale memristor crossbar arrays
Cerebras Wafer-Scale Engine – the
largest single chip in the world, used by
DoE to build supercomputers for AI tasks
Largest CPU
32 Billion transistors (incl. cache)
400 mm2 silicon (7nm process)

12. 12Proprietary and Confidential © 2019
Photonic Computing – breaking silicon
constrains by size and energy dissipation
Lightelligence world’s 1st practical
optical AI computer: 12x smaller, 4.2x
less power, 11x cheaper vs latest Nvidia
Ayar Labs Photonic Integration
technology. 10s of Tb/s of bandwidth at
<5 pJ/b up to 2km – directly out of an
ASIC/CPU/FPGA package
Luminous Computing (Bill Gates led a
$9M seed round) builds AI chip with
computing power equivalent to 3,000
Google’s TPU boards

13. 13Proprietary and Confidential © 2019
Quantum Computing – not constrained by
Margolus–Levitin if we have Quantum Memory
1. Superconducting
(Google, IBM, Rigetti)
2. Ion traps
(IonQ, Honeywell)
3. Cold Atoms
(Lukin)
4. Photonics
(PsiQuantum)
5. Topological
(Microsoft)
Superconducting systems
exhibit generic quantum
properties such as quantized
energy levels, entanglement,
and superposition of states.
Google, Microsoft, IBM,
Rigetti, and Intel actively
research superconducting
qubits
Charged atoms can be
controlled and manipulated in
macroscopic traps with a very
high degree of accuracy. Chris
Monroe (UMD) and Rainer
Blatt (Innsbruck) have built
hierarchical architecture of ion
trap chains
Harvard group led by M. Lukin
had achieved significant
progress towards high-fidelity
quantum control, opening
possibilities of using
thousands of coherent qubits
for quantum simulators and
computers
Photons do not interact with
the environment, so photonic
qubits do not suffer with short
coherence time. The chip
consists of many
interferometers, which split the
photons into different spatial
modes.
Microsoft is betting that
topological qubits would be
more robust. A topological
state of matter is one in which
an electron can be
fractionalized and appear in
different places within a
system.

14. 14Proprietary and Confidential © 2019
Other Examples
Combines nanoscale robotics
and computer science to create
individual nanometer-scale -
Programmable Matter
4. Claytronics
Nature solves NP-complete
problems (Protein Folding) in
every cell every second very
efficiently
Advanced Materials
5. Advanced Materials
Soap films can be considered
as analog computers which can
outperform conventional
computers (creating minimal
surfaces on wire frames)
Leave a computer on Earth, fly
out at warp speed, return back,
all your friends are dead, but
the computation is finished!
1. Noise-free Analog 2. Relativistic
Data and instructions are
encoded in the matter and
dropped into a black hole.
Hawking radiation carries
output
3. Black Hole

15. 15Proprietary and Confidential © 2019
Human Brain Computing
A helmet containing a brain–computer interface that enables the wearer to interact with a computer using brain activity
100 billion neurons
100 trillion connections (synapses)
~10 watt power consumption
Massively parallel processing
Superior learning capability

16. 16Proprietary and Confidential © 2019
Some specific cases where silicon could be replaced
even sooner
Robots, sensors, actuators
Telecommunication - photonics
Advanced Material Simulation
Data Storage
Healthcare – smart prosthetics
Thales Alenia Space intends to use terabit speed photonics for satellite components interconnects: lighter, faster, more reliable and lower power consumption

17. 17Proprietary and Confidential © 2019
Ultimate Fantasy Mainframe
“Avatar” movie: The Tree of Souls has a way to interact with the world through the seeds, and to connect directly to the human nervous system
Open systems interconnect (GenZ - https://genzconsortium.org/)
CPU
GPU
TPU
MemristorArrays
Photonics
QuantumComputing
MicroBlackHole
Noise-FreeAnalog
AdvancedMaterials
HumanBrainpower

18. 18Proprietary and Confidential © 2019
300mm Silicon Wafer
New Computers require NEW ADVANCED
MATERIALS
1. Monocrystalline Silicon 2. Li-ion Materials 3. Optical Fibers 4. Strong Magnets 5. GMR Heads
Chip-grade Monocrystalline
Silicon, purity of
99.9999999% (9N) or higher.
In production since 1960
Titanium Disulfide cathode
developed in 1970s opened
path to Li-ion batteries
powering our mobile devices
and cars since 1991.
Nobel Prize 2019
Single-mode optical fibers –
Bell Labs developed vapor
deposition process suitable for
mass-production in 1973. First
transatlantic optic cable laid in
1988
Neodymium-Iron-Boron
Magnets – strongest
permanent magnets,
developed by GM and
Sumitomo (Hitachi)
independently in 1982
Giant Magneto-resistive
Heads – Fe/Cr multilayers,
discovered in 1988, wide
production since 1997.
Nobel Prize 2007

19. 19Proprietary and Confidential © 2019
New Computers require to build a lot of NEW
HARDWARE

20. 20Proprietary and Confidential © 2019
New Computers require NEW SOFTWARE to
design them

21. 21Proprietary and Confidential © 2019
Running New Computers requires NEW
OPERATING SYSTEM SOFTWARE (startup, I/O,
task management and more)

22. 22Proprietary and Confidential © 2019
Getting results from New Computers requires
NEW ALGORITHMS AND APPLICATIONS

23. 23Proprietary and Confidential © 2019
Next project: science, tech, and education: $10T market
1. Real Estate
2. Education
3. Science as a Service
4. Spin-Offs
5. Learning Management
COMPUTERS, PHYSICS, BUSINESS
$100M+ investment over 8 years
$500M+ annual revenue in 15 years
2,000+ new jobs in Schaffhausen
5 campuses in all major regions
500,000+ m2 of real estate worldwide
SIT RESEARCH CENTER
30+ chairs in: Cybersecurity and
Information Integrity, AI/ML, Software
Engineering, Robotics & Autonomous
Machines, Quantum Technologies,
Advanced Materials, Digital Health, Digital
Sports, New Generation Business
Management, AI in Arts & Computer Design,
Digital Law
SIT TECH PARK
300+ SIT’s startups and R&D centers of
100+ industry partners – within walking
distance from the University
SIT UNIVERSITY
Top 50 under 50
Global Top 100 in CS, Physics, Business
2,000+ degree students on main campus
20,000+ blended degree off-campus students
200,000+ online non-degree students

24. 24Proprietary and Confidential © 2019
SIT global reach: Swiss quality education in Schaffhausen and
satellite campuses using blended learning model
Mediterranean Campus
Asia-Pacific Campus
Eastern Europe Campus
Americas Campus
Currently the Mediterranean Campus is being established in Malta with the aim of EU accreditation.

25. 25Proprietary and Confidential © 2019
SIT: research-led university to address global humans
challenges through technology and innovation
Computers Physics
Business: Tech
transformation
and entrepreneurship
1. Cybersecurity and
Information Integrity
2. Artificial Intelligence
and Machine Learning
3. Software
Engineering
4. Robotics &
Autonomous
5. Quantum
technologies
6. Advanced
materials
7. Digital
Health
8. New Gen
Business Mgmt
10. Digital
Sports
11. Digital Learning
& Education
12. AI in
Arts/Design
9. Digital
Law

26. 26Proprietary and Confidential © 2019
SIT main campus to be located right on the Rhein Falls – the largest
waterfall in Europe with 1.5 million visitors per year
A couple of kilometers to the German border,
37km to Zurich Airport, 46km to Zurich, 56km to
Konstanz, 83km to St Gallen, 99km to Basel, 160km
to Stuttgart
Schaffhausen is a part of the Greater Zurich Area and
centrally located between the business hubs of
London, Paris, Frankfurt, Brussels, Milan and Rome
1100 year history of the City of Schaffhausen – old
town is considered one of the prettiest in Switzerland
Only 37,000 people live in Schaffhausen, but 2M+
potential workforce within a hour drive
Long history of industrial prosperity: IWC, Garmin,
G+F, SIG, BBC Group, H.Moser & Cie, and many
more

27. 27Proprietary and Confidential © 2019
#3 in QS World Ranking
by Computer Science 2018
#10 in QS World Ranking
by Computer Science 2018
International partnership and Strategic Advisory Board
Konstantin Novoselov
NUS, University of
Manchester
Nicolas Gisin
University of Geneva
STRATEGIC ADVISORY BOARD
Artur Ekert
NUS, University of Oxford
Mikhail Lukin
Harvard University
Mark Kamlet
Carnegie Mellon University

28. 28Proprietary and Confidential © 2019
World class scientists, technologists and educators from SIT network
Wolfgang Ketterle
Professor of Physics, MIT
• Pioneer in experimental realization and investigation
of the Bose-Einstein condensate
• Associate Director, Research Laboratory of Electronics, MIT
• Director, Harvard-MIT Center for Ultracold Atoms
Awards and prizes: 2001 Nobel Prize,
over 20 other awards and prizes
Vladimir Shalaev
Professor of Electrical and Computer
Engineering, Purdue University
• Pioneer in the field of transformation optics,
metamaterials, nanophotonics and plasmonics
• Scientific Director of Nanophotonics at Birck
Nanotechnology Center, Purdue University
Awards and prizes: Max Born Award of the
Optical Society of America (2010)
Peter Zoller
Scientific and Research Director,
Institute for Quantum Optics and
Quantum Information
• Pioneer in the theory and practical
implementation of quantum computers
Awards and prizes: Benjamin Franklin Medal,
over 15 other awards and prizes
Ignacio Cirac
Director, Theoretical Division, Max
Planck Institute of Quantum Optics
• Pioneer in the field the quantum theory
of information and quantum computation
Awards and prizes:
Benjamin Franklin Medal,
over 20 other awards and prizes
Sir Andre Konstantin Geim
Professor of Physics,
University of Manchester
• Fellow of the Royal Society
• Honorary doctorate at ETH Zurich
Awards and prizes: Nobel Prize in
Physics (2010), Hughes Medal,
Niels Bohr Medal
Rainer Blatt
Professor for Experimental Physics,
University of Innsbruck
• Pioneer in the field of quantum communication
• Scientific Director, Institute for Quantum Optics and
Quantum Information of the Austrian Academy of Sciences
Awards and prizes: Carl Zeiss Research
Award, ERC Advanced Grant by the
European Research Council, Kardinal Innitzer
Prize, Schrödinger Prize
David Jonathan Gross
Professor of Theoretical Physics
University of California
• Chancellor’s Chair Professor of Theoretical
Physics at the Kavli Institute for Theoretical Physics
of the University of California
Awards and prizes: Nobel Prize in
Physics (2004)
Eugene Demler
Professor of Physics, Harvard
University
• Pioneer in the field of multi-body interactions in ultracold
gases.
• Foreign Associate, Quantum Materials Program, Canadian
Institute for Advanced Research
Awards and prizes: Gutenberg Research Award,
NSF Career Award

29. 29Proprietary and Confidential © 2019
What to do now
1. Use Acronis Cyber Protection
(for sure)
2. Join Wolfgang Ketterle in building new
quantum systems
3. Join SIT master program
4. Join SIT as PhD, postdoc, permanent
researcher, faculty
5. Or just help SIT – sponsor, invest,
recommend
John Bardeen (1908-1991)
First to win two Nobel prizes in the same field
1956 Nobel - Transistor 1972 Nobel - Superconductivity