Quantum ComputingPresent and Future in Financial Services
Alberto Acuto | Quantum Practice Lead EMEA |
Business Perspective
Why Quantum Computing… Now?
Why Quantum Computing… Now?
First, find your fit
Steep learning curve
Expect sudden breakthroughs
Many alternative approaches
Market Trends and ForecastThe global quantum computing market generated a revenue of $507.1
million in 2019, and is projected to reach $64,988.3 million by 2030,
progressing at a CAGR of 56.0% during the forecast period (2020–2030).
Increasing funding by government and private firms is driving the growth
of the market across the globe. Among all regions, Europe is expected to
record the fastest growth in the market during the forecast period.
Economic development, robust research & development (R&D) activities,
massive IT spending, growing inclination toward advanced technologies,
along with surging manufacturing and aerospace & defense industries
are some of the key factors driving the European market growth.
Source: P&S Intelligence Private Limited, 2020
Source: Quantum Computing Report, 2020
Quantum Computing is a marathon, not a sprint race. The largest
companies in Automotive, Transportation, Manufacturing, Energy,
Chemicals, Finance and Insurance are actively experimenting the new
technology and how it will transform their business. Though Universal
Quantum Computers are still in their prototypal phase, quantum (and
quantum-inspired) algorithms can be effectively exploited today, through
Quantum Annealers and Digital Annealers – their digital (i.e. non-quantum),
non-Von Neumann counterparts running on specialized hardware (e.g.
FPGA’s or Silicon Photonics). This approach can outperform the processing
power of traditional computers in a wide class of business problems
solvable through combinatorial optimization.
Use Cases Across Sectors and Active Players
Source: Boston Consulting Group analysis, 2018
● Machine learning and artificial intelligence, such as neural networks
● Search
● Bidding strategies for advertisements
● Cybersecurity
● Online and product marketing
● Software verification and validation
IBM
Alibaba
Microsoft
Telstra
Baidu
Samsung
● Logistics: scheduling, planning, product distribution, routing
● Automotive: traffic simulation, e-charging station and parking search, autonomous driving
● Semiconductors: manufacturing, such as chip layout optimization
● Aerospace: R&D and manufacturing, such as fault-analysis, stronger polymers for airplanes
● Material science: effective catalytic converters for cars, battery cell research, more-efficient
materials for solar cells, and property engineering uses such as OLEDS
Airbus
NASA
Northrop Grumman
Daimler
Denso
BMW
Volkswagen
Lockheed Martin
Honeywell
Bosch
● Catalyst and enzyme design, such as nitrogenase
● Pharmaceuticals R&D, such as faster drug discovery
● Bioinformatics, such as genomics
● Patient diagnostics for healthcare, such as improved diagnostic capability for MRI
BASF
Biogen
Dow Chemical
JSR
DuPont
Amgen
● Trading strategies
● Portfolio optimization
● Asset pricing
● Risk analysis
● Fraud detection
● Market simulation
J..P.Morgan
Commonwealth
Bank
Barclays
Goldman Sachs
HSBC
● Network design
● Energy distribution
● Oil well optimization
Dubai Electricity &
Water Authority
BP
Hi-Tech
Industrial Goods
Chemistry & Pharma
Finance
Energy
Quantum technologies in the financial services industry
Portfolio
Optimization
Clearing and
Settlement
Risk
Management
Synthetic
Time Series
Fraud
Detection
NISQ – Noisy Intermediate Scale Quantum
50-100 qubitsA finite number of algorithms are interesting
Universal gate setNo need to worry about gate synthesis
No error correctionGates and readout both introduce errors
Short coherence timesObsessive focus on reducing circuit depth
Restricted qubit connectivityCircuit layout / qubit routing problem is non trivial
Not all qubits/gates are created equalLayout has a major effect on overall fidelity
Strategy in the NISQ Era
Analyze the potential Launch new offeringsLead your own effortGain experience
Technology Perspective
The NTT Vision
Our Vision
2020 Technology Trend #06:
Computer Power Evolution
The inexhaustible demand for computing
power is being tackled through a
combination of new, denser chips and
application-specific architectures. To solve
power requirements additional new materials
like carbon nanotubes, and approaches like
photonics and neuromorphic architectures
are also being investigated and introduced.
Rethinking the computer from principles
of critical phenomena in neural networks
We are here to uncover fundamental
principles and novel technologies that
advance our information processing
beyond state of the art. We exist to rethink
“computation” within the fundamental
principles of quantum physics and brain
science, and to develop hardware and
software simultaneously.
Approaches to Quantum Computing
Quantum
Gate Model
Superconducting
Photonics
Ion Traps
Ising Model
Coherent Ising Machine
Quantum Annealing
Digital Annealing
The NTT Quantum Map
Internal
Capacity
NTT Research
Build simple, efficient and
practical solvers for real-world
problems in our information
intensive society.
Cornell University
Develop a k-SAT solver based on
error detection and error
correction feedback.
Caltech
Develop scalable architecture for
efficient quantum simulation of
many-body spin systems using
OPO networks.
Stanford University
Optical and superconducting
devices for studying the quantum-
to-classical crossover and critical
phenomena in the neural network.
1QBit
Perform research in design and
analysis of a stack of algorithms
that bridge commercially viable
applications.
Swinburne University
Develop and implement the quantum
phase space methods for CIMs.
University of Michigan
Theoretical studies of topological
states with anyon statistics in
nonlinear optics and synthetic
topological matter.
MIT
Develop the photonic accelerators
for deep learning and the
superconducting CIMs for
fundamental study.
AQT
A spin-off from Innsbruck University,
Alpine Quantum Technologies is a
leading player on quantum hardware
based on ion-trap technologies.
JoS Quantum
A startup partner focused on
quantum and quantum-inspired
algorithms for finance, insurance,
energy, and transportation.
IQM
A spin-off from Aalto University and
VTT Technical Research Centre of
Finland, focused on building the first
European quantum computer based
on superconducting circuits.
NTT Ltd. & NTT DATA EMEA
Integrating clients business
cases with quantum and
quantum-inspired techniques.
NTT DATA Quantum Team and
internal academy. NTT & NTT DATA R&D
Research & Development
Headquarters. LASOLV
solution development.
NTT DATA Quantum Lab,
focusing on technology
benchmarking and selection,
prototyping, trial support.
NASA Ames Research Center
Perform benchmark studies of
CIMs vs. modern heuristics on
various optimization problems.
Cambridge Quantum Computing
CQC provides expertise in quantum
software – a quantum development
platform, quantum machine learning,
quantum chemistry, and quantum
augmented cybersecurity.
The NTT Group Global Network
on Quantum Technologies
● Using optical physics to solve problems
● Operable at room temperature
● Fully-connected Ising model
● Now in the basic research stage, and we plan to extend to 100K nodes
(currently 2K nodes)
LASOLV – Laser Ising Machine
The Lab Provides PoCs Using:
D-Wave SystemsD-Wave 2000Q
IBMQuantum Experience
Google, RigettiQuantum Simulators
NTTLASOLV
Service Portfolio:
Consulting on Formulation
Technology Benchmarking
Verification on Real Hardware
Prototyping
Workshops
Trial Support
Lab: Vehicle Routing Planning
1 depo
39 vehicles
273 customers
8.343E+93 patterns
Results:
Calculation time from 10’
down to 1.5’
Total travel distance from
245 Km down to 230 Km
Superior performances and
quality of the simulation
Quantum Computing Lab & Service