1.
ORGANIZED BY
JUNE 20TH
2019
French industrial quantum use cases
Stéphane TANGUY
CIO & CTO
EDF Labs, France

2.
| 2
Oser le futur et innover au
présent
Quantum computing @ EDF Labs
Stéphane Tanguy
EDF Labs CIO & CTO

3.
STRATEGIC
PRIORITIES4 in line with the EDF Group's CAP
2030 project
MAJOR DISRUPTIVE
FORCES3
ELECTRIC
Transition
CLIMATE
Change
DIGITAL &
SOCIAL
Transition
EDF LABS IN BRIEF

4.
Generation (Nuclear, Renewable, Hydraulic,
Thermal, Environment)
Network / Smarties (smart-grids, smart-cities)
Energy Management
COMPUTING ALL OVER THE GRID !! PHYSICAL SIMULATION AND DATA ANALYSIS
Nuclear : a particular domain
• TOP 100 HPC machines - 700 Million CPU hours per year
• Unique simulation code portfolio covering major domains of
Physics
• >500 Engineers/year either developing code or delivering HPC
based studies
• Total of 120 PHD students
Computing assets & resources to deliver

5.
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MAIN USE CASES FOR QUANTUM COMPUTING @ EDF
MATERIAL AGEING
MODELLING
SAFETY PROBABILISTIC
STUDY
Modelling ageing phenomena's with quantum
physic laws
Stake : foresee material ageing patterns to
gain operational margin.
Contribute to regulatory studies for ASN IRSN
Decision support tool for real time risk analysis
Recalculate risk based on operation current
state and maintenance operation
Avoid roll back in case uninttended events
COMBINATORIAL
OPTIMIZATION FOR ENERGY
MANAGEMENT
Smart charging : optimizing VEs charging for
the grid operator/charging operator/user
Decentralized energy systems, exploiting
large data volume

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EDF APPROACH TO QUANTUM COMPUTING
3. Experimenting &
feed back loop
QAOA on ATOS QLM,
Pasqal (Quantum annealing
start up)
1. Exploring
What does it mean for
EDF ?
Where to start ?
Main uses cases ?
Our
quantum
journey
PHDs
(LORIA, LIPN..)
H2020
Pasquans
Project
2. Building our
eco system
Academics,
Industrial & Quantum
machine providers
Teratec, CIGREF
..
Courtesy of Institut d’Optique

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QUANTUM ALGORITHM FOR OPTIMAL BATTERY OPERATION
Every battery model has a
capacity, a power range and
a lifetime (charge cycles).
When a battery is used,
either to deliver capacity or
frequency response, it ages.
Before investing, the financial
scenarios are investigated
using forecasted prices.
To integrate higher volume of renewables, EDF plans to install large
batteries on national scale power grids. But optimising the
investment and the life time operation of these storage systems is a
problem whose complexity exceeds the capabilities of classical
computing.
This ‘hands-on’ experiment is
being developed in the EDF
Energy R&D UK Centre.
Formulation in a Knapsack
problem (NP complex)
Adaptation of a recent
quantum algorithm (QAOA)
Implementation on Quantum
Simulator
.
.
.
Scope of work

8.
| 8Calcul quantique | 03/2018
#1
FORMULATION
An in-depth review of
Quantum Approximate
Optimization Algorithm.
Working with business
experts to reformulate the
problem in a standard
form: Knapsack.
#2
DEVELOPMENT
A new formulation of
QAOA for Knapsack on
Universal Quantum Gates.
A novel quantum circuit
architecture and
subroutines.
#3
IMPLEMENTATION
AN implementation into the
IBM QisKit package.
Experiments with a
simulator and evaluation of
behaviour and sensitivity.
QUANTUM ALGORITHM FOR OPTIMAL BATTERY OPERATION (2)

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CONCLUSION
▪ Agnostic position in relation to Qubit technology
▪ We are focused on ramping up our R&D capability to
develop/use quantum algorithms
▪ We won’t go alone .. Leveraging multiple partnerships
in particular the rich quantum ecosystem of Plateau de
Saclay
▪ We welcome initiatives to boost academic training &
research capabilities and develop cross domain labs
▪ Realist but positive about the future of quantum
computing.. Beware of overhyping !!
▪ Opportunity for Europe to regain some of it’s digital
sovereignty