Airbus’ perspective on Quantum Computing & Experience with D-Wave system Dr. Thierry Botter 12 April 2018
Airbus’ perspective on
Quantum Computing &
Experience with D-Wave system
Dr. Thierry Botter
12 April 2018
Airbus by numbers (end of 2017)
Product & Next-
gen R&D expenses
2,011 M€
EBIT
3,428 M€
Aircrafts Delivered
in 2017:
718
Order Book
950,354 M€
7,265 A/C
Employees
133,782
Airbus
Airbus Defence and Space
75%Airbus Helicopters
Airbus (Group) Revenue
66,800 M€
Airbus & High Performance Computing
Long history of deploying large HPC clusters :
TOP500 29th position, 1st among industries
in 2011 [1]
Most use-cases focus on computationally
heavy simulations for engineering & design
(i.e. CFD, FEM, aeroacoustics, aeroelasticity,
flight & system simulations, …)
[1] https://www.top500.org/site/47306
#1
AIRBUS
#500
TOP500
GFlops
TFlops
PFlops
1993 1996 1999 2002 2005 2008 2011 2014
Airbus & High Performance Computing
Airbus’ investment level into HPC activities:
• Near-term IT solutions: ~3% of IT budget, with main focus on
scaling up methods & tools for industrial production;
• Long-term research activities: ~1% of R&D budget.
R&D focused on extending the HPC toolset: cloud, distributed, multi-
platform (x86/ARM/GPU) … and quantum computing!
HPC activities run as collaborative projects between internal engineers &
external partners to bridge aerospace problems and HPC platforms
Only one relevant metric:
Does a technology provide Airbus with a demonstrated performance
improvement in addressing a specific challenge?
Airbus IT
HPC
Airbus
R&D
HPC
*not to scale
Airbus & Quantum Computing
Quantum Computing (QC) is being investigated as a possible extension to the
HPC toolset.
Open questions for Airbus:
• Can QC contribute to known HPC challenges? How?
• What HPC performance can be achieved with today’s QC at reduced problem
sizes? How do performances scale with problem size?
• How can we prepare ourselves for a QC future? What’s the operational &
business impact? When is the right time to invest in preparations?
Apply HPC philosophy to QC: leverage external ecosystem in tandem with
internal experts to investigate potential applications to Airbus needs.
Strategic investment: Airbus became a seed investor in QC Ware in 2016.
The marriage allowed Airbus to enter the space of Quantum Computing
and have an expert partner to help explore the various corners of the space,
across different QC hardware technologies and different aerospace
applications.
Gateway to Quantum Computing
Airbus is indifferent to the type of quantum hardware implementation /
vendor, and whether any system is truly quantum or not. The only
determining factor is the demonstrated performances of these systems on
relevant Airbus applications / business propositions.
Hardware Agnostic
First QC project conducted with
D-Wave 2000Q machine.
First QC investigation: Fault Tree Analyses
What?
Fault Trees or Dependence Diagrams represent the connection
points between sub-systems and nodes in large, complex
engineering structures. Fault Tree Analyses (FTAs) investigate the
combination of local failures that result in global system failures,
often with mission safety implications.
Applications
Fault trees are relevant across many aerospace systems, including
aircraft, spacecraft and vehicle fleets. They are an integral part of
qualification and certification processes. First QC investigation
focused on FTAs for aircraft.
Why?
NP-hard problem to compute all possible failure modes, and
identify combination of failures that can lead to the safety critical
top-event (i.e. loss of system function). QC is known to have
potential benefits for this type of problem. 12/04/2018 10
Top Event
Basic
event
Intermediate
event
*MMEL: Minimum Mandatory Equipment List
Run T
ime (se
c)
Events+Gates in Tree
First QC investigation: Fault Tree Analyses
• QC hardware: 2000-qubit D-Wave machine.
The quantum annealer could handle FTAs with
up to ~300 events+gates.
• Benchmark against commercial SAT solver
shows competitive performance as timing
does not seem to be related to problem size
• Potential hybrid approach: find the shortest
minimal cut-sets using QA, followed by a
classical computation for the full fault-tree
calculation. Predicted 4x reduction of runtime.
12/04/2018 11
Airbus typical problem
QA
current software
solution
not to scale
Increased QC familiarity
• Project enabled Airbus experts to get first experience in applied QC.
• QC Ware led technical work: translate FTAs into QUBO (language amenable to quantum
annealers), program and run FTAs on D-Wave 2000Q machine, benchmarking against SAT
solver.
Impactful results
• Results demonstrated promise in an important area of Airbus’ business.
• Airbus additionally motivated to continue research on QC because of FTA results.
Lessons learnt
• Work through nomenclature and mathematical framework, incl. terms for consistency checks,
early in project – develop a common language between aerospace and QC worlds.
First QC investigation: Fault Tree Analyses
Airbus & QC in the future
Airbus remains interested in the promise of QC. More projects to come!
The QC strategy in short:
• Hands-on experience through partnerships with external startups &
key players to evaluate selected HPC use-cases.
• Continuous evaluation of available technology & trends, to adapt
investment strategy accordingly .
• Raise awareness within the Airbus HPC community and continue to
research candidate use-cases.