What is the point of boson sampling?
Thomas Brougham
Quantum Theory Group
Other work
Can encode information in temporal degrees of freedom of photons.
Two approaches : time-bins and temporal envelope
create temporally entangled photons using SPDC
We can combine both approaches to create photons that are entangled both
in time-bins and temporal envelope!
Outline
1) Motivation for boson sampling
2) What is boson sampling
3) Cryptographic applications
4) Dynamics of spin Hamiltonians
Motivation
Lots of computationally difficult problems, i.e. problems where the time to
solve scales badly with the size of problem .
A quantum computer could help!
We can encode all information as string of 0 and 1s.
Encode 0 and 1s directly on quantum system allows for the possibility of a
quantum superposition, i.e. qubits.
 1|0|| ba
Lots of big claims about quantum computers (QC). Need experimental verification.
Building universal QC is difficult, so instead build one that solves one problem.
Classical sampling
Quantum Sampling
1|
100% reflecting
mirror
1|
0|
We have a linear optical network of beam-splitters, with inputs either single photons
or vacuum.
Detectors Sets of possible
outcomes
2 0 0 1 1 0
0 2 0 1 0 1
0 0 2 0 1 1
Question: Can we determine the probability to obtain some a particular set
of measurement outcomes?
Boson Sampling
1|
0|
Now consider a large linear optical network of beam-splitters, described by some unitary U.
Suppose the number of input modes is much greater than the number of photons.
Detectors
Question: what is the probability to obtain the various possible sets of outcomes?
U
Mathematically, this is equivalent to calculating the permanent of sub-matrices of U.
What is a permanent?
Consider a square matrix











333231
232221
131211
aaa
aaa
aaa
A
332211332112322311322113312312312213
333231
232221
131211
aaa+aaa-aaa-aaa+aaa+aaa
)det(


aaa
aaa
aaa
A
332211332112322311322113312312312213 aaa+aaaaaaaaa+aaa+aaa
)(Perm

A
Boson Sampling
1|
0|
Detectors
Question: what is the probability to obtain the various possible sets of outcomes?
U
Mathematically, this is equivalent to calculating the permanent of sub-matrices of U.
Number of steps in calculation scales exponentially with number of input modes and
photons.
But, a linear optical experiment could sample the probabilities.
Experimental demonstration of boson sampling is proof of quantum advantage
Cryptography
U
Alice BobAlice and Bob share
a secret n-bit string
U
 ...1101|| input
Alice and Bob independently determine the set of
outcomes with maximum probability
Can encode output onto a new bit string.
lengthofstringnewashareBobandAlice
D sets of
possible
outcomes
D sets of
possible
outcomes
nD )(log2
Spin dynamics
   , ,
ˆˆ ˆ ˆ ˆ ˆ ˆ ˆ ˆ ˆ ˆ' 1 .d
n n mn m n m n ij i j i j
n m n i j
m n i j
H B Z K X X Y Y K X Y Y X  
 
       
1
2 3 4 5
6 7
8
Example: d=8
Consider a network of coupled spin ½ particles.
Is simulating spins difficult?
Suppose we had a network of d coupled spin-1/2 particles.
At time t=0, Alice prepares N of nodes spin up, while the other d-N are
prepared as spin down.
Alice
Bob
?)...( P
Bob then tries to calculate the
probability for sets of nodes to be
spin up and down at time t=.
Is simulating spins difficult?
Suppose we had a network of d coupled spin-1/2 particles.
At time t=0, Alice prepares N of nodes spin up, while the other d-N are
prepared as spin down.
Alice
Bob
?)...( P
Bob then tries to calculate the
probability for sets of nodes to be
spin up and down at time t=.
This probability is related to the permanent of matrix!
Connection with boson sampling
Ground
Excited
state
Define a ‘vacuum state’ | ... 
We can introduce ‘creation’ and ‘annihilation’ operators
.||ˆ|,|ˆ  
iii i
cc
ˆ ˆ ˆ ˆ ˆ ˆ[ , ] 0, fori j i j j ic c c c c c i j   
 1
ˆ ˆ| | | 1 |a b a bc 
       
Connection with boson sampling
Ground
Excited
state
Define a ‘vacuum state’ | ... 
We can introduce ‘creation’ and ‘annihilation’ operators
.||ˆ|,|ˆ  
iii i
cc
ˆ ˆ ˆ ˆ ˆ ˆ[ , ] 0, fori j i j j ic c c c c c i j   

n
nmnm cc )0(ˆ)(ˆ 
Time dynamics of state can be transferred to c operators. One can then show that
the between any two times, the c operators are related by a linear optics type
relation.
where  is a unitary matrix.
 1
ˆ ˆ| | | 1 |a b a bc 
       
Conclusions
 Boson sampling is interesting!
 Proves a possible experimental test of power of quantum
computation
 But there can be other applications such as in cryptography
and simulating spins
 Other applications
Thank you

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What is the point of Boson sampling?

  • 1. What is the point of boson sampling? Thomas Brougham Quantum Theory Group
  • 2. Other work Can encode information in temporal degrees of freedom of photons. Two approaches : time-bins and temporal envelope create temporally entangled photons using SPDC We can combine both approaches to create photons that are entangled both in time-bins and temporal envelope!
  • 3. Outline 1) Motivation for boson sampling 2) What is boson sampling 3) Cryptographic applications 4) Dynamics of spin Hamiltonians
  • 4. Motivation Lots of computationally difficult problems, i.e. problems where the time to solve scales badly with the size of problem . A quantum computer could help! We can encode all information as string of 0 and 1s. Encode 0 and 1s directly on quantum system allows for the possibility of a quantum superposition, i.e. qubits.  1|0|| ba Lots of big claims about quantum computers (QC). Need experimental verification. Building universal QC is difficult, so instead build one that solves one problem.
  • 6. Quantum Sampling 1| 100% reflecting mirror 1| 0| We have a linear optical network of beam-splitters, with inputs either single photons or vacuum. Detectors Sets of possible outcomes 2 0 0 1 1 0 0 2 0 1 0 1 0 0 2 0 1 1 Question: Can we determine the probability to obtain some a particular set of measurement outcomes?
  • 7. Boson Sampling 1| 0| Now consider a large linear optical network of beam-splitters, described by some unitary U. Suppose the number of input modes is much greater than the number of photons. Detectors Question: what is the probability to obtain the various possible sets of outcomes? U Mathematically, this is equivalent to calculating the permanent of sub-matrices of U.
  • 8. What is a permanent? Consider a square matrix            333231 232221 131211 aaa aaa aaa A 332211332112322311322113312312312213 333231 232221 131211 aaa+aaa-aaa-aaa+aaa+aaa )det(   aaa aaa aaa A 332211332112322311322113312312312213 aaa+aaaaaaaaa+aaa+aaa )(Perm  A
  • 9. Boson Sampling 1| 0| Detectors Question: what is the probability to obtain the various possible sets of outcomes? U Mathematically, this is equivalent to calculating the permanent of sub-matrices of U. Number of steps in calculation scales exponentially with number of input modes and photons. But, a linear optical experiment could sample the probabilities. Experimental demonstration of boson sampling is proof of quantum advantage
  • 10. Cryptography U Alice BobAlice and Bob share a secret n-bit string U  ...1101|| input Alice and Bob independently determine the set of outcomes with maximum probability Can encode output onto a new bit string. lengthofstringnewashareBobandAlice D sets of possible outcomes D sets of possible outcomes nD )(log2
  • 11. Spin dynamics    , , ˆˆ ˆ ˆ ˆ ˆ ˆ ˆ ˆ ˆ ˆ' 1 .d n n mn m n m n ij i j i j n m n i j m n i j H B Z K X X Y Y K X Y Y X             1 2 3 4 5 6 7 8 Example: d=8 Consider a network of coupled spin ½ particles.
  • 12. Is simulating spins difficult? Suppose we had a network of d coupled spin-1/2 particles. At time t=0, Alice prepares N of nodes spin up, while the other d-N are prepared as spin down. Alice Bob ?)...( P Bob then tries to calculate the probability for sets of nodes to be spin up and down at time t=.
  • 13. Is simulating spins difficult? Suppose we had a network of d coupled spin-1/2 particles. At time t=0, Alice prepares N of nodes spin up, while the other d-N are prepared as spin down. Alice Bob ?)...( P Bob then tries to calculate the probability for sets of nodes to be spin up and down at time t=. This probability is related to the permanent of matrix!
  • 14. Connection with boson sampling Ground Excited state Define a ‘vacuum state’ | ...  We can introduce ‘creation’ and ‘annihilation’ operators .||ˆ|,|ˆ   iii i cc ˆ ˆ ˆ ˆ ˆ ˆ[ , ] 0, fori j i j j ic c c c c c i j     1 ˆ ˆ| | | 1 |a b a bc         
  • 15. Connection with boson sampling Ground Excited state Define a ‘vacuum state’ | ...  We can introduce ‘creation’ and ‘annihilation’ operators .||ˆ|,|ˆ   iii i cc ˆ ˆ ˆ ˆ ˆ ˆ[ , ] 0, fori j i j j ic c c c c c i j     n nmnm cc )0(ˆ)(ˆ  Time dynamics of state can be transferred to c operators. One can then show that the between any two times, the c operators are related by a linear optics type relation. where  is a unitary matrix.  1 ˆ ˆ| | | 1 |a b a bc         
  • 16. Conclusions  Boson sampling is interesting!  Proves a possible experimental test of power of quantum computation  But there can be other applications such as in cryptography and simulating spins  Other applications