The document summarizes a team's proposal for developing neural network algorithms that can run on quantum computing platforms. The team consists of researchers from the University of Pavia with expertise in quantum technologies. Their idea is to develop neural network circuits (algorithms) that can accelerate applications by training networks much faster and with less energy than classical computers on quantum cloud platforms. They plan to target the oil and gas industry initially by creating customized algorithms as partners rather than pure customers. In the future, they may offer algorithms-as-a-service or software licenses. They are already testing algorithms on IBM Q and have collaborations with quantum computing hardware firms and an oil and gas company.

1. TEAM: DANIELE BAJONI, CATERINA CORONA, OFFER DISTELFELD, DARIO
GERACE, CHIARA MACCHIAVELLO, FRANCESCO TACCHINO, BARIS YUKSEL
MENTOR: ALBERTO GIACOBONE
MIBE- UNIVENTURE 2019
ARTIFICIAL
INTELLIGENCE
IN THE QUANTUM
WORLD

2. Its 54-qubit Sycamore processor was able to
perform a calculation in 200 seconds
that would have taken the world’s most powerful
supercomputer several days
ON OCTOBER 23,2019
GOOGLE HAS REACHED THE QUANTUM
SUPREMACY

3. Big Spark Solutions | 2020
QUANTUM COMPUTING REVOLUTION IS HERE
AND IS AN HOT TOPIC!

4. Major players in the field are
focusing on the hardware
<100 STARTUP WORLDWIDE
WORKING ON SOFTWARE
QUANTUM COMPUTING MARKET

5. ENTANGLED SOFTWARE ON MIT !

6. ENTANGLED SOFTWARE
A team of researchers
of the University of Pavia
Experts in quantum technologies:
>100 papers in the field, 1 filed
patent on quantum artificial
intelligence
Daniele Bajoni
Dario Gerace
Chiara Macchiavello
Francesco
Tacchino

7. OUR IDEA
QUANTUM
COMPUTERS
NEURAL
NETWORKS
What? Development of neural network
circuits (algorithms)
For what? To be made available on quantum
computing cloud platforms
Why? To accelerate and make possible, faster
better applications.

8. Big Spark Solutions | 2020
AND ANOTHER TASK
We are computing the quantum training for neural networks
The quantum computer can find solutions using exponentially less
time and energy.
ONE TENTH OF
ENERGY COSTS
NOT PRONE TO
FALSE MINIMA
AT LEAST TEN
TIME FASTER

9. Big Spark Solutions | 2020
WHY ARE WE DOING THIS?
TRAINING OF NEURAL NETWORKS
the most difficult and
resource hungry task in
artificial intelligence.
is an open problem and it is
difficult to solve with classic
technologies.

10. WEATHER FORECAST
CHEMISTRY
PHARMACEUTICAL
AND HEALTHCARE
FINANCE & BANKING
OUR POSSIBLE MARKETS
.....
ENERGY & POWER
OIL & GAS

11. OIL COMPANIES
OUR TARGET MARKETS
OIL & GAS COMPANIES
At first, we are focusing on a specific subset of the market so as to solve real problems,
we need to get into the specifics problems.
ENERGY & POWER
COMPANIES

12. CUSTOMER SEGMENT & KEY ACTIVITIES
We will create tailored algorithms for our clients
THAT WILL BE:
-Not pure customers ( between strategic partners and clients)
-Few but very big
-That want to be protected from the competition
We will patent together = our clients will have the I.P. on that solution.

13. Future business models will likely be an offer of
“algorithms-as-a-service” to commercial clients or
software licenses to hardware companies.
While fully fledged commercialization is not to be
expected in the near-term.
AFTER 3-5 YEARS

14. COLLABORATIONS
We are already testing our algorithms on existing hardware such as IBM Q*
Already have a scientific collaboration as
university researchers with important quantum
computing hardware firms
and another scientific collaboration with an oil
and gas industry (under U.D.A).
* The views expressed in this work do not reflect the official policy or position of IBM and the IBM-Q Team

15. THANK YOU!

16. Daniele Bajoni
Caterina Corona
Chiara Macchiavello
Offer Distelfeld
Francesco Tacchino
Dario Gerace
Baris Yuksel