Quantum Computing Business in Japanese market. A slide at D-Wave user conference in Italy

1. uantum usiness in apanese
market
Solve problem that human beings cannot solve

2. Introduction
Yuichiro Minato
CEO of MDR Inc.
Graduated from the university of Tokyo
Kengo Kuma & associates (Architecture)
2008- MDR Inc.
2017- Associate program manager on ImPACT project

3. MDR Overview
ompany ame nc.
ocation ongo2-40-14-3 , unkyo-ku, okyo, apan
stablished 2008
uppliers ational abs, ational niv., omestic major companies
apital $2,030,000
usiness uantum omputer ullstack
mployee 14 (+5advisor)
Finance / (Marunouchi, Financial Center of Tokyo)
R&D / Business Division (Hongo, Near Univ. of Tokyo)

4. Full-stack development team from software to hardware
Engineering and theory mainly from Univ. of Tokyo and Finance team
Univ. of Tokyo dep. of Engineering
Project manager at Japanese cabinet
office quantum computing project
CEO
Yuichiro Minato Daisuke Saida
Application/Middleware Superconducting qubit
Goldman Sachs
Morgan Stanley
Columbia University
Univ of Tokyo dep. of Engineering
itsubishi ank
inance
huo niv.
Finance Finance Management
ManagerCFO
Yoichi Takebayashi Hitoya Nakamura
Executive
Shinji Ishihara
Toshiba
Univ. of Tokyo dep. of Engineering
(Ph.D)
Tokyo Institute of Technology
Toshiba
PwCC / IBM
Sony Global Solutions

5. Hardware on superconducting and Application
on both QA and Universal
https://quantumcomputingreport.com/
Flux Transmon

6. rinciple erification of the uperconducting lux ubit ell oward the uantum
ampling pproach for raining of eep eural etworks
Yamanashi lab, Yokohama National University
National Institute of Advanced Industrial Science and Technology

7. Clients
ank
nsurance
utomotive
eavy ndustry
rading
elecom areer
aterial company
inistries
niversities, ational abs ver 20 lients on

8. Applications
・ uantum imulations
・ ombinatorial ptimization
・ uantum achine earning

9. Business Area
・ inance
・ utomotive
・ aterial and rug discovery

10. Around 2,000 of QC Developers community in
Japan
over 300-500 people in one event
2000 users offline
1200 users online on slack
over 100 events in a year

11. ython for quantum computing
https://github.com/ lueqat/ lueqat
from blueqat.opt import Opt
c = Opt().add([[1,1],[1,1]]).add("(q0+q1)^2")
#annealing
print(c.run())
[0, 0]
#D-Wave
print(c.dw())
[0, 0]
#qaoa
print(c.qaoa().most_common(5))
#=>(((0, 0), 0.7639901896866), ((1, 0), 0.10321404014639714), ((0, 1), 0.10321404014639707), ((1,
1), 0.029581730020605202))

12. from blueqat import vqe
from blueqat.pauli import qubo_bit as q
hamiltonian =
-3*q(0)-3*q(1)-3*q(2)-3*q(3)-3*q(4)+2*q(0)*q(1)+2*q(0)*q(2)+2*q(0)*q(3)+2*q(0)*q(4)+2
*q(1)*q(2)+2*q(1)*q(3)+2*q(1)*q(4)+2*q(2)*q(3)+2*q(2)*q(4)+2*q(3)*q(4)
step = 2
result = vqe.Vqe(vqe.QaoaAnsatz(hamiltonian, step)).run()
print(result.most_common(12))
---------------------
from blueqat.pauli import *
hamiltonian1 = (1.23 * Z[0] + 4.56 * X[1] * Z[2]) ** 2
hamiltonian2 = (2.46 * Y[0] + 5.55 * Z[1] * X[2] * X[1]) ** 2
hamiltonian = hamiltonian1 + hamiltonian2
print(hamiltonian)

13. Ising model tutorial for
beginners on ipython

14. MUFG Bank, Ltd. and MDR made a contract
on research on quantum computer
・ ortfolio ptimization
・ isk management
・ onte arlo imulations
・ rypto ecurity
or anking ompany

15. outing optimization and s
or utomotive ompany
othing new we are always solving very standard problems.

16. uantum hemistry( niversal)
irst rinciple alculation on chemistry.
from blueqat import *
from openfermion import *
from openfermionblueqat import*
import numpy as np
x = [];e=[];fullci=[]
for bond_len in np.arange(0.2,2.5,0.1):
m = get_molecule("{:.2}".format(bond_len))
h =
bravyi_kitaev(get_fermion_operator(m.get_molecular_ham
iltonian()))
runner = vqe.Vqe(UCCAnsatz(h,6,Circuit().x[0]))
result = runner.run()
x.append(bond_len)
e.append(runner.ansatz.get_energy(result.circuit,runne
r.sampler))
fullci.append(m.fci_energy)
%matplotlib inline
import matplotlib.pyplot as plt
plt.plot(x,fullci)
plt.plot(x,e,"o")
Quantum Classical
Quantum Circuit
Quantum Circuit
Quantum Circuit
opt
params
ariational ethod
or aterial ompany

17. aming
[[x o x]
[o x o]
[o x o]]
a =
Opt().add("10*(q0+q1+q2+q3+q4+q5+
q6+q7+q8-4)^2-(q0+q1+q2)^2-(q3+q4
+q5)^2-(q6+q7+q8)^2-(q0+q3+q6)^2-
(q1+q4+q7)^2-(q2+q5+q8)^2",N=9).a
dd(np.diag([-100,0,0,100,-100,0,1
00,-100,100])).run()
print(np.reshape(a,(3,3)))
a = opt.opt()
a.qubo
=opt.optm("(1-(q0+q1+q2+q3+q4+q5))^2+(1-(q6+q7+q8+q9+q10+q11+q12+q1
3+q14+q15+q16+q17+q18+q19+q20+q21))^2
+(1-(q22+q23+q24+q25+q26+q27+q28+q29+q30+q31+q32+q33+q34+q35+q36+q3
7))^2+(1-(q0+q3+q6+q14+q16+q22+q30+q32))^2+(1-(q1+q3+q7+q8+q14+q15+
q16+q17+q23+q24+q30+q31+q32+q33))^2+(1-(q2+q3+q9+q15+q17+q25+q31+q3
3))^2+(1-(q0+q4+q6+q8+q10+q16+q18+q20+q22+q24+q26+q32+q34+q36))^2+(
1-(q1+q4+q6+q7+q8+q9+q11+q12+q14+q17+q18+q19+q20+q21+q22+q23+q24+q2
5+q27+q28+q30+q33+q34+q35+q36+q37))^2+(1-(q2+q4+q7+q9+q13+q15+q19+q
21+q23+q25+q29+q31+q35+q37))^2+(1-(q0+q5+q10+q12+q20+q26+q28+q36))^
2+(1-(q1+q5+q10+q11+q12+q13+q18+q21+q26+q27+q28+q29+q34+q37))^2+(1-
(q2+q5+q11+q13+q19+q27+q29+q35))^2",38)
res = a.sa()
print(res)
print(np.where(np.array(res)==1)[0])

18. Finding Hadamard
Matrices
by a Quantum Annealing Machine
Andriyan B. Suksmono,
School of Electrical Eng. and Informatics, ITB, Bandung, Indonesia
Yuichiro Minato
MDR Inc., Tokyo, Japan
20

19. 1. Introduction
• Hadamard matrix (H-matrix)
• Definition: an orthogonal binary {-1,1} matrix
• Applications: orthogonal codes used in CDMA, ECC
(Error Correction Code) with maximal error correction
capability, employed in Mariner-9
• Scientific/Math: H-matrix conjecture is a ~100 years old
unsolved problem
• Why finding a H-matrix is hard?
• For an M-order matrix, there are
[2^(M2
)] ~ exp (M2
) binary matrices
• H-matrix conjecture predicts, there is a H-matrix for
every M=4k, k positive integer. How to find it?
• Brute force, worst-case condition: one should check all binary
matrices, an O[exp(M2
)] problem --> a hard problem.
• Proposed Solution: USE A QUANTUM COMPUTER ! Mariner-9 employed Hadamard’s ECC
to protect Mars’s images sent to Earth
CDMA Communication System
employs
Walsh-Hadamard Orthogonal Code
21

20. 2. Methods: (a) Use symbolic computing
to formulate many-terms 2-body
Hamiltonian
PROBLEM
Find H ≅ min E{si
}
s-domain k-body
Energy function
Ek
(si)
Hamiltonian
Formulation
H2
({σ i
z
})
q-domain k-body
Energy function
Ek
(qi)
q-domain 2-body
Energy function
E2
(qi)
s-domain 2-body
Energy function
E2
(si)
Alg.
1
Alg.
2
Alg.
3
Alg.
4
22

21. 3. Simulations: (a) Finding H-matrices
• Finding 2-order H-matrix:
• NSWEEP=1000, Results: Energy and Configurations
Solutions
solu
tion Minimum Energy:
E = -16.00
• Finding 4-order H-matrix:
H-matrix
is found !
E=[-16.00 , -15.62, -15.62, -15.71, -15.71
-15.71, -15.71, -15.71, -16.00, -15.62 ]T
Simulate using neal
Extract
Ising Coeffs.
23

22. 4. DW2000Q:(a) Finding H-matrices
• Finding 4-order H-matrix• Finding 2-order H-matrix
Minimum energy
E= -322.91
default annealing Schedule
Minimum energy
E = -13.52
manual qubits
assignments in Chimera
embedding using SAPI
NREADS=100
0
24

23. Conclusions and Further Directions
1. Finding H-matrices (H-SEARCH) is a hard problem which potentially can
be solved by a quantum computer.
2. Construction of the Hamiltonians of H-SEARCH and its related problems
needs manipulation of equation with large number of terms. We have
managed this problem by symbolic computing.
3. We have implement H-SEARCH in a quantum annealer DW2000Q.
Although only up to 4-order H-matrix, future generation of quantum
annealers capable to implement higher orders due to increasing
number of qubits and connectivity beyond Chimera.
4. In the forthcoming research, we will address the issue of
scaling/speed-up and implementation of H-SEARCH in quantum gate
model.
25

24. About Business

25. apanese omestic market
uite familiar to the quantum computer that almost all of the famous company is now
started to working on quantum computing project inside the company.
・ nnealing achine -> - ave, ujitsu, itachi, , etc…
・ niversal ate achine -> , icrosoft, oogle cirq, igetti, etc…
lot of choice for users at the moment for .

26. hinking as a o project
ost of companies thinking a quantum computing project as o ( roof of oncept)
project.
he point is if is faster than the classical computer.
f the cost is lower than the classical computer.
f the can solve the classical one cannot solve.

27. emand on is not strong
ome of the company has long-term vision for the projects but this is mostly
because the responsible person in the company is from physics or machine learning.
here are a lot of physics person in apan.
actually demand on “optimization problem” is very strong because obotic rocess
utomation is a trend now in apan.

28. ost & term for
or our business clients pay around $1,000 - $20,000 for one project.
inimum 3month, the longest project is around 3 years to 5 years.
o do as a business we need a eco system and make the situation that get much
more result than the classical computer.
>> till unclear on business but keep working on o

29. apanese culture
apanese language is almost necessary in apanese market for documents and
tutorials.
eginners never read english document.
equired apanese support.

30. QC on everyday life

31. ptimization of taste
ombination of discrete algorithm without cost function & ising model, we optimizing
taste and preference of human behavior.

32. onclusion
・ o is now a trend
・ he future vision is unclear
・ apanese people require apanese language support
・ eople recently not expect on the good result
・ here are many choice in apan for qc platforms
・ ombinatorial optimization problem is widely accepted
・ umber of startup is around 5 to 7 ( ost of them are nnealing).
hank you for listening

33. Solve problem that human beings cannot solve