quantum cellular automata from lattice field...
TRANSCRIPT
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Quantum Cellular Automata fromLattice Field Theories
Michael McGuigan
Brookhaven National Lab
May 31, 2003
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OutlineOutline● Cellular Automata● Quantum Cellular Automata (QCA)● Relation to Lattice Field Theories● Bosonic Quantum Cellular Automata● Fermionic Quantum Cellular Automata● Supersymmetric QCA● Relation to String Bit Models● Spin and Quantum Dot Cellular Automata● Relation to Quantum Computing
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Classical Quantum Classical Quantum→Classical Cellular
Automata
Classical
Turing Machines
Classical
Computing
Quantum CellularAutomata
Quantum
Turing Machines
Quantum
Computing
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Cellular AutomataCellular Automata
● Deterministic● Discrete Time I, Space J, Target Space X● Cell contents X(I,J)● Update Rule f, reversible (Toffoli and
Margolus (1990))
● Applications: Lattice gas, traffic models,classical computation (Wolfram 2003)
( 1, ) ( ( , 1), ( , ), ( , 1)) ( 1, )X I J f X I J X I J X I J X I J+ = − + − −
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Cellular Automata ExampleCellular Automata Example
● Choose update function f
● update equation
( ( , 1), ( , ), ( , 1) ( , 1) ( , 1)f X I J X I J X I J X I J X I J− + = − + +
( 1, ) ( , 1) ( , 1) ( 1, )X I J X I J X I J X I J+ = − + + − −
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Quantum Cellular AutomataQuantum Cellular Automata
● General QCA open problem. (Feynman (1982), Grossingand Zeilinger (1988), t’Hooft (1992), Meyer (1996))
● Non-deterministic: Applications quantum fluid, quantumcomputing
● Discrete time I and Quantum Mechanics (T.D.Lee (1983),Khorrami (1994),Jaroszkiewicz and Norton (1996))
● Discrete space J (spatial lattice).● Target Space X, cell contents X(I,J) (lattice field)● Action S = S{X(I,J)}● Transition amplitude from Path Integral
1, 1{ }
( , ) 0, 1,0
( ( , ), ; (0, ))k
N M kiS X
ZX I JI J
K X N N X e− −
==
⋅ ⋅ = ∑∏
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Bosonic Quantum Cellular AutomataBosonic Quantum Cellular Automata
● Action,
2 2
, 0
1( 1, ) ( , ) ( , 1) ( , )
2( ) ( )( )
N M
I J
S X I J X I J X I J X I J=
= + − − + −∑
● Equation of motion is update equation
( 1, ) ( , 1) ( , 1) ( 1, )X I J X I J X I J X I J+ = − + + − −
● Solve by Fourier transformation1
2 /
0
1( , ) ( )
MinJ M
nn
X I J X I eM
π−
−
=
= ∑
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Bosonic Quantum Cellular AutomataBosonic Quantum Cellular Automata
● Update equation and action become:2( 1) 2 ( ) ( ) ( 1)n n n n nX I X I W X I X I+ = − − −
02sin( / ) 2sin( / 2)n nW n M aπ ω= =● with
● Product of discrete time HarmonicOscillators of the form:
( )2 20 00 0 0 0
0 0
sin( ) sin( )( , ; ,0) exp ( )cos( ) 2
2 sin( ) 2sin( )n n
N N n Nn n
a i aK X N X X X a N X X
i a N a N
ω ω ωπ ω ω
= + −
1,
, 1,0
{ }( ( , ), ; (0, ),0) ( , )N M
I J
iS XK X N N X dX I J e−
=
⋅ ⋅ = ∏ ∫
12 2 2
0
1 1( ( 1) ( )) ( )
2 2( )
N
n n n nI
S X I X I W X I−
=
= + − −∑
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Discrete Target SpaceDiscrete Target Space
● Cells can take k values
{0,1, , 1}kX k∈ = −�� X X k≈ +
● Action becomes2 1,
, 0
cos(2 ( ( , 1) ( , )) / ) cos(2 ( ( 1, ) ( , )) / )2
N M
I J
kS X I J X I J k X I J X I J kπ π
π
−
=
= + − − + − ∑
● Path integral1, 1
{ }
( , ) 0, 1,0
( ( , ), ; (0, ))k
N M kiS X
ZX I JI J
K X N N X e− −
==
⋅ ⋅ = ∑∏
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Discrete Target SpaceDiscrete Target Space● Special interest in Dead or alive2 {0,1}X ∈ =�● Action
2 1,
, 0
1cos( ( , 1)) cos( ( , )) cos( ( 1, )) cos( ( , ))
N M
I J
A X I J X I J X I J X I Jπ π π ππ
−
=
= + − + ∑
● Define Spin Variables ( , ) cos( ( , ))zS I J X I Jπ=2 1,
, 0
1( , 1) ( , ) ( 1, ) ( , )
N M
z z z zI J
A S I J S I J S I J S I Jπ
−
=
= + − + ∑
● Path Integral related to Ising Model1,
( , ) 1, 0
{ }( ( , ), ; (0, ))z
N Mz
z zS I JI J
iA SK S N N S e−
=±=
⋅ ⋅ = ∑∏
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Fermionic Quantum Cellular AutomataFermionic Quantum Cellular Automata
● Applications to condensed matter, stringtheory, quark lattice gauge theory
● Fermionic cell contents ( , )I Jθ
● Update equation
( 1, ) ( ( , 1), ( , ), ( , 1)) ( 1, )I J f I J I J I J I Jθ θ θ θ θ+ = − + + −
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Example: Fermionic Cellular AutomataExample: Fermionic Cellular Automata
● Simplest update function
( ( , 1), ( , ), ( , 1)) ( , 1) ( , 1)f I J I J I J I J I Jθ θ θ θ θ− + = − − +
● Update equation with solution
( 1, ) ( , 1) ( , 1) ( 1, )I J I J I J I Jθ θ θ θ+ = − − + + −
( , ) ( )RI J I Jθ θ= −
● Another simple update function
( ( , 1), ( , ), ( , 1)) ( , 1) ( , 1)f I J I J I J I J I Jθ θ θ θ θ− + = − − + +� � � � � �
● Update equation with solution ( , ) ( )LI J I Jθ θ= +� �
( 1, ) ( , 1) ( , 1) ( 1, )I J I J I J I Jθ θ θ θ+ = − − + + + −� � � �
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Fermionic Quantum Cellular AutomatonFermionic Quantum Cellular Automaton
● Action:1, 1
, 0
1 1( , )( ( 1, ) ( 1, )) ( , )( ( , 1) ( , 1))
2 2
N M
I J
S i I J I J I J i I J I J I Jθ θ θ θ θ θ− −
∗ ∗
=
= − + − − − + − −∑1 1
( , )( ( 1, ) ( 1, )) ( , )( ( , 1) ( , 1))2 2
i I J I J I J i I J I J I Jθ θ θ θ θ θ∗ ∗− + − − + + − −� � � � � �
● Equation of motion yields update equation● However fermion doubling problem with
inverse propagator:
0 1 0 1( , ) sin( ) sin( )FD p p p p= +● Zeros located (0,0), (0, ), ( ,0), ( , )π π π π
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Fermionic Quantum Cellular AutomataFermionic Quantum Cellular Automata
● Wilson method to remove fermion doubling1, 1
, 0
1( , )( ( 1, ) ( 1, ) ( 1, ) ( 1, ) 2 ( , )
2( )
N M
rI J
S i I J I J I J r I J r I J r I Jθ θ θ θ θ θ− −
∗
=
= − + − − − + − − +∑ � � �
1( , )( ( , 1) ( , 1) ( , 1) ( , 1) 2 ( , )
2( )i I J I J I J r I J r I J r I Jθ θ θ θ θ θ∗− + − − − + − − +� � �
1( , )( ( 1, ) ( 1, ) ( 1, ) ( 1, ) 2 ( , )
2( )i I J I J I J r I J r I J r I Jθ θ θ θ θ θ∗− + − − + + + − −� � �
1( , )( ( , 1) ( , 1) ( , 1) ( , 1) 2 ( , )
2( )i I J I J I J r I J r I J r I Jθ θ θ θ θ θ∗+ + − − − + − − +� � �
20 0 0 0 0( ) sin( ) (1 cos( )) sin( ) 2 sin ( / 2)FD p p r p p r p= + − = +
● Inverse propagator has a single zero at 0 0p =
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Fermionic Quantum Cellular AutomataFermionic Quantum Cellular Automata
● Quantize by Grassmann path integral
1,
, 1,0
{ , }( ( , ), ( , ) ; (0, ), (0, )) ( , ) ( , ) r
N M
I J
iSK N N N d I J d I J e θ θθ θ θ θ θ θ−
=
⋅ ⋅ ⋅ ⋅ = ∏ ∫�� � �
12 /
0
1( , ) ( )
MinJ M
nn
I J I eM
πθ θ−
−
=
= ∑
● Can Solve by Fourier transform and factorover frequencies
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Supersymmetric Quantum Cellular AutomataSupersymmetric Quantum Cellular Automata
● Supersymmetry- interchange bosons andfermions.
● Used in String Models, Particle Physics,solvable Condensed Matter Models.
● Fermion doubling and supersymmetryimplies boson doubling.
● Use first order formalism for bosons.,
2 2
, 0
1( , ) ( , ) ( 1, ) ( 1, ) ( , ) ( , ) ( , 1) ( , 1)
2( ) ( )( )
N M
I J
S P I J P I J X I J X I J L I J L I J X I J X I J=
= − + − − − + + − −∑1, 1
, 0
1 1( , )( ( 1, ) ( 1, )) ( , )( ( , 1) ( , 1))
2 2
N M
I J
i I J I J I J i I J I J I Jθ θ θ θ θ θ− −
∗ ∗
=
+ − + − − − + − −∑
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Supersymmetric QCASupersymmetric QCA
● Supersymmetry transformations
( )
1( ( 1, ) ( 1, ) ( , 1) ( , 1)
21
( ( 1, ) ( 1, ) ( , 1) ( , 1)2
( )
( )
X i
X I J X I J X I J X I J
X I J X I J X I J X I J
δ εθ εθ
δθ ε
δθ ε
= −
= − + − − − + + −
= + − − + + − −
��
�
�
● To remove doublers replace:
( 1, ) ( 1, ) ( 1, ) ( 1, ) ( ( 1, ) ( 1, ) 2 ( , ))
( , 1) ( , 1) ( , 1) ( , 1) ( ( , 1) ( , 1) 2 ( , ))
X I J X I J X I J X I J r X I J X I J X I J
X I J X I J X I J X I J r X I J X I J X I J
+ − − ⇒ + − − − + + − −+ − − ⇒ + − − − + + − −
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Supersymmetric QCASupersymmetric QCA
● Quantize by path integral
( ( , ), ( , ), ( , ) ; (0, ), (0, ), (0, ))K X N N N N Xθ θ θ θ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ =� �
1,
, 1,0
{ , , }( , ) ( , ) ( , ) r
N M
I J
iS XdX I J d I J d I J e θ θθ θ−
=∏ ∫
��
● Related to string bit models of Thorn andBergman (1996)
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Relation to String ModelsRelation to String Models
● Continuum limit
2 ( )S d X X iα αα ασ θρ θ= ∂ ∂ − ∂∫
2+1 dimensional IIB superstring in lightcone gauge
● For Heterotic models 2D chiral fermions● Use domain wall fermions to discretize
( , , ) | ( ) | ( ( ))JKX I J K J X I K X t→< >→● M-atrix theory of Banks, Fischler,Shenker
and Susskind (1997)
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Spin Cellular AutomataSpin Cellular Automata
● Spin valued cell contents [ , ]aS I J
● Spin update equation
, ,a x y z=
0 0a →● Continuum time limitBloch equation 0t a I=
( 1, ) ( , ) ( , ) ( , 1) ( , ) ( , 1) ( 1, )a abc b c abc b c abc b c aS I J S I J B S I J S I J S t J S t J S I Jε ε ε+ = + − + + + + −
( , ) ( , ) ( , ) ( , 1) ( , ) ( , 1)t a abc b c abc b c abc b cS t J S t J B S t J S t J S t J S t Jε ε ε∂ = + − + +
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Spin Quantum Cellular AutomataSpin Quantum Cellular Automata
● Quantize in Heisenberg picture
( , ) [ , ( , )]t a aS t J i H S t J∂ =
1
( , ) ( , 1) ( , ) ( , 1) ( , )M
a a a a a aJ
H S t J S t J S t J S t J S t J B=
= + + − +∑
● Hamiltonian
● Transition function
( ( , ); (0, )) ( , ) | | (0, )iTHz z z zK S T S S T e S−⋅ ⋅ =< ⋅ ⋅ >
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Quantum Dot Cellular AutomataQuantum Dot Cellular Automata● 4 -site 2-electron quantum dot (Tougaw, Lent,
Porod (1993)
● Quantum Dot Cellular Automata inverter
Nanoscale lithography insemiconductors
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Quantum Dot Cellular AutomataQuantum Dot Cellular Automata
● Effectively a two state system with Hamiltonian(Adachi and Isawa (1998), Cole and Lusth(2001))
11 1
M Mx z z
eff x K K KK K
H B S S Sγ += =
= +∑ ∑
● Ising model with transverse magnetic field.Effective exchange is negative ,antiferromagnetic
γ
γ
● Described by Spin cellular automata
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Relation to Quantum ComputingRelation to Quantum Computing● Standard Spin model of quantum computation. Spin
control Hamiltonian for 1 and 2 qubit operations.● Sufficient to build up any unitary operation (Barenco et
al, Di Vincenzo (1995))
● Standard Fermionic model of quantum computation.(Ortiz, Gubernatis, Knill, Laflamme (2000)
1 , 1
( ( ) ( ) ) ( )M M
K x K y KL z zqc x K y K K L
K K L
H t S t S t S Sα β γ= =
= + +∑ ∑
† † †
1 , 1
( ( ) ( ) ) ( )( )M M
qc K K K K KL K L L KK K L
H t t tα θ β θ γ θ θ θ θ= =
= + + +∑ ∑
● Related by Jordan-Wigner transformation anddescribed by spin and fermionic cellular automata.
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ConclusionsConclusions● QCA can form a foundation for Quantum
Computing but are poorly understood comparedto Classical CA.
● Generalized to several types of QuantumCellular Automata: Bosonic, Fermionic,Supersymmetric, Spin.
● Applications to Fundamental physics: String BitModels.
● Application to Quantum Dot Cellular Automataand QC Control Hamiltonians.