Quantum Field Theories as Statistical Field Theories · Quantum Field Theories as Statistical Field...

78
Quantum Field Theories as Statistical Field Theories Antoine Tilloy Max Planck Institute of Quantum Optics, Germany Oberseminar Mathematische Physik LMU, Munich, Germany February 1, 2017

Transcript of Quantum Field Theories as Statistical Field Theories · Quantum Field Theories as Statistical Field...

Quantum Field Theoriesas

Statistical Field Theories

Antoine TilloyMax Planck Institute of Quantum Optics, Germany

Oberseminar Mathematische Physik LMU, Munich, GermanyFebruary 1, 2017

First problem:

Quantum field theory is not about fields, there are no fields, it’sabout correlation functions of ... macroscopic stuff made of ...

⟨ϕ(x1)ϕ(x2)ϕ(x3)ϕ(x4)⟩ =∑

· · ·

⟨ψ(x1)ψ(x2)ψ(x3)ψ(x4)⟩ =∑

· · ·

what we want what we get

First problem:

Quantum field theory is not about fields, there are no fields, it’sabout correlation functions of ... macroscopic stuff made of ...

⟨ϕ(x1)ϕ(x2)ϕ(x3)ϕ(x4)⟩ =∑

· · ·

⟨ψ(x1)ψ(x2)ψ(x3)ψ(x4)⟩ =∑

· · ·

what we want what we get

Second problem:

Even as operational theories, “physical” interacting quantum fieldtheories are ill defined.

⟨ϕ(x1)ϕ(x2)ϕ(x3)ϕ(x4)⟩ =+∞∑k=0

(∞)k gk

⟨ψ(x1)ψ(x2)ψ(x3)ψ(x4)⟩ =+∞∑k=0

(∞)k gk

These are actually the two classes of difficulties noted by Paul Dirac in 1963

Second problem:

Even as operational theories, “physical” interacting quantum fieldtheories are ill defined.

⟨ϕ(x1)ϕ(x2)ϕ(x3)ϕ(x4)⟩ =+∞∑k=0

(∞)k gk

⟨ψ(x1)ψ(x2)ψ(x3)ψ(x4)⟩ =+∞∑k=0

(∞)k gk

These are actually the two classes of difficulties noted by Paul Dirac in 1963

Reformulations of quantum theory are needed

The Bohmian way

dQk(t)dt = vΨk (Q1(t), · · · ,Qn(t))

iℏ dΨdt = HΨ

L. de Broglie 1927

D. Bohm 1952

The Bohmian way

dQk(t)dt = vΨk (Q1(t), · · · ,Qn(t))

iℏ dΨdt = HΨ

L. de Broglie 1927

D. Bohm 1952

Subtleties

Lorentz invariance

Either fixed foliation of foliation determined by the wave function →the letter but not the spirit

Particle creation-annihilation 2 solutions

∙ Stochastic creation-annihilation events∙ Resurrect the Dirac sea

Subtleties

Lorentz invariance

Either fixed foliation of foliation determined by the wave function →the letter but not the spirit

Particle creation-annihilation 2 solutions

∙ Stochastic creation-annihilation events∙ Resurrect the Dirac sea

Subtleties

Lorentz invariance

Either fixed foliation of foliation determined by the wave function →the letter but not the spirit

Particle creation-annihilation

2 solutions

∙ Stochastic creation-annihilation events∙ Resurrect the Dirac sea

Subtleties

Lorentz invariance

Either fixed foliation of foliation determined by the wave function →the letter but not the spirit

Particle creation-annihilation 2 solutions

∙ Stochastic creation-annihilation events∙ Resurrect the Dirac sea

The Collapse way

A modified Schrödinger equation

∂t |ψw⟩ = −iH |ψw⟩+ tiny(w, ψw)

A primitive ontology

fields, particles, flashes

The Collapse way

A modified Schrödinger equation

∂t |ψw⟩ = −iH |ψw⟩+ tiny(w, ψw)

A primitive ontology

fields, particles, flashes

What is known:

A Lorentz invariant GRW (Tumulka, 2006)

but no interactions and a wave function formalism

A Lorentz invariant CSL (Bedingham, 2011)

but a non-linearity in the smearing function making the statisticalinterpretation unclear

In both cases anyway, predictions = QFT.

What is known:

A Lorentz invariant GRW (Tumulka, 2006)

but no interactions and a wave function formalism

A Lorentz invariant CSL (Bedingham, 2011)

but a non-linearity in the smearing function making the statisticalinterpretation unclear

In both cases anyway, predictions = QFT.

What is known:

A Lorentz invariant GRW (Tumulka, 2006)

but no interactions and a wave function formalism

A Lorentz invariant CSL (Bedingham, 2011)

but a non-linearity in the smearing function making the statisticalinterpretation unclear

In both cases anyway, predictions = QFT.

What is known:

A Lorentz invariant GRW (Tumulka, 2006)

but no interactions and a wave function formalism

A Lorentz invariant CSL (Bedingham, 2011)

but a non-linearity in the smearing function making the statisticalinterpretation unclear

In both cases anyway, predictions = QFT.

Objective:

Construct a relativistic collapse model, naturally written as aLorentz invariant statistical field theory, that can be embeddedwithin an “orthodox” interacting quantum field theory.

In provocative form

1. Collapse models can be made equivalent to quantum theory2. Quantum field theories can be written as statistical field

theories3. The two previous points are equivalent

Objective:

Construct a relativistic collapse model, naturally written as aLorentz invariant statistical field theory, that can be embeddedwithin an “orthodox” interacting quantum field theory.

In provocative form

1. Collapse models can be made equivalent to quantum theory2. Quantum field theories can be written as statistical field

theories3. The two previous points are equivalent

Objective:

Construct a relativistic collapse model, naturally written as aLorentz invariant statistical field theory, that can be embeddedwithin an “orthodox” interacting quantum field theory.

In provocative form

1. Collapse models can be made equivalent to quantum theory

2. Quantum field theories can be written as statistical fieldtheories

3. The two previous points are equivalent

Objective:

Construct a relativistic collapse model, naturally written as aLorentz invariant statistical field theory, that can be embeddedwithin an “orthodox” interacting quantum field theory.

In provocative form

1. Collapse models can be made equivalent to quantum theory2. Quantum field theories can be written as statistical field

theories

3. The two previous points are equivalent

Objective:

Construct a relativistic collapse model, naturally written as aLorentz invariant statistical field theory, that can be embeddedwithin an “orthodox” interacting quantum field theory.

In provocative form

1. Collapse models can be made equivalent to quantum theory2. Quantum field theories can be written as statistical field

theories3. The two previous points are equivalent

dynamical reduction models

A modified Schrödinger equation

∂t |ψw⟩ = −iH |ψw⟩+ tiny(w, ψw)

A primitive ontology

fields, particles, flashes

an instantiation: the csl model

Linear collapse equation:

ddt |ψw(t)⟩ =

−iH0 +

√λ

∫R3

d3x Mσ(x)wt(x)white

−√λ

2 M2σ(x)

|ψw(t)⟩ ,

with Mσ(x) =1

σ(2π)32

N∑k=1

∫R3

dyk mk e−|x−yk|

2

2σ2 |yk⟩ ⟨yk| ,

Master equation for ρt = E[|ψw(t)⟩ ⟨ψw(t)|

]ddt ρ(t) = −i [H0, ρ(t)]−

λ

2

∫R3

d3x[Mσ(x), [Mσ(x), ρ(t)]

].

More generally ρt = Φt · ρ0with Φ linear Completely Positive Trace Preserving

needs to be an “unraveling” of a nice open-system evolution

Gisin Diosi

an instantiation: the csl model

Linear collapse equation:

ddt |ψw(t)⟩ =

−iH0 +

√λ

∫R3

d3x Mσ(x)wt(x)white

−√λ

2 M2σ(x)

|ψw(t)⟩ ,

with Mσ(x) =1

σ(2π)32

N∑k=1

∫R3

dyk mk e−|x−yk|

2

2σ2 |yk⟩ ⟨yk| ,

Master equation for ρt = E[|ψw(t)⟩ ⟨ψw(t)|

]ddt ρ(t) = −i [H0, ρ(t)]−

λ

2

∫R3

d3x[Mσ(x), [Mσ(x), ρ(t)]

].

More generally ρt = Φt · ρ0with Φ linear Completely Positive Trace Preserving

needs to be an “unraveling” of a nice open-system evolution

Gisin Diosi

an instantiation: the csl model

Linear collapse equation:

ddt |ψw(t)⟩ =

−iH0 +

√λ

∫R3

d3x Mσ(x)wt(x)white

−√λ

2 M2σ(x)

|ψw(t)⟩ ,

with Mσ(x) =1

σ(2π)32

N∑k=1

∫R3

dyk mk e−|x−yk|

2

2σ2 |yk⟩ ⟨yk| ,

Master equation for ρt = E[|ψw(t)⟩ ⟨ψw(t)|

]ddt ρ(t) = −i [H0, ρ(t)]−

λ

2

∫R3

d3x[Mσ(x), [Mσ(x), ρ(t)]

].

More generally ρt = Φt · ρ0with Φ linear Completely Positive Trace Preserving

needs to be an “unraveling” of a nice open-system evolution

Gisin Diosi

an instantiation: the csl model

Linear collapse equation:

ddt |ψw(t)⟩ =

−iH0 +

√λ

∫R3

d3x Mσ(x)wt(x)−√λ

2 M2σ(x)

|ψw(t)⟩ ,

Normalization and cooking:

∣∣∣ψw(t)⟩=

|ψw(t)⟩√⟨ψw(t)|ψw(t)⟩

dµt(w) = ⟨ψw(t)|ψw(t)⟩ · dµ0(w)

wt(x) = 2√λ ⟨Mσ(x)⟩+ bt(x)

white.

an instantiation: the csl model

Linear collapse equation:

ddt |ψw(t)⟩ =

−iH0 +

√λ

∫R3

d3x Mσ(x)wt(x)−√λ

2 M2σ(x)

|ψw(t)⟩ ,

Normalization and cooking:

∣∣∣ψw(t)⟩=

|ψw(t)⟩√⟨ψw(t)|ψw(t)⟩

dµt(w) = ⟨ψw(t)|ψw(t)⟩ · dµ0(w)

wt(x) = 2√λ ⟨Mσ(x)⟩+ bt(x)

white.

an instantiation: the csl model

The “good” choice of primitive ontology is w, not ⟨M(x)⟩:

∙ Is the natural object appearing in the linear eq.∙ Does projects down to R3 the localization of the state:

wt(x) = 2√λ ⟨Mσ(x)⟩+ bt(x)

white

∙ Allows to reconstruct the state exactly: w → |ψw⟩∙ Allows a time symmetric formulation of collapse

Bedingham & Maroney (2015)

∙ Is the natural Lorentz invariant object in generalizationsTumulka (2006), Bedingham (2011)

∙ Allows quantum classical couplingAT & Diósi (2016)

an instantiation: the csl model

The “good” choice of primitive ontology is w, not ⟨M(x)⟩:

∙ Is the natural object appearing in the linear eq.

∙ Does projects down to R3 the localization of the state:wt(x) = 2

√λ ⟨Mσ(x)⟩+ bt(x)

white

∙ Allows to reconstruct the state exactly: w → |ψw⟩∙ Allows a time symmetric formulation of collapse

Bedingham & Maroney (2015)

∙ Is the natural Lorentz invariant object in generalizationsTumulka (2006), Bedingham (2011)

∙ Allows quantum classical couplingAT & Diósi (2016)

an instantiation: the csl model

The “good” choice of primitive ontology is w, not ⟨M(x)⟩:

∙ Is the natural object appearing in the linear eq.∙ Does projects down to R3 the localization of the state:

wt(x) = 2√λ ⟨Mσ(x)⟩+ bt(x)

white

∙ Allows to reconstruct the state exactly: w → |ψw⟩∙ Allows a time symmetric formulation of collapse

Bedingham & Maroney (2015)

∙ Is the natural Lorentz invariant object in generalizationsTumulka (2006), Bedingham (2011)

∙ Allows quantum classical couplingAT & Diósi (2016)

an instantiation: the csl model

The “good” choice of primitive ontology is w, not ⟨M(x)⟩:

∙ Is the natural object appearing in the linear eq.∙ Does projects down to R3 the localization of the state:

wt(x) = 2√λ ⟨Mσ(x)⟩+ bt(x)

white

∙ Allows to reconstruct the state exactly: w → |ψw⟩

∙ Allows a time symmetric formulation of collapseBedingham & Maroney (2015)

∙ Is the natural Lorentz invariant object in generalizationsTumulka (2006), Bedingham (2011)

∙ Allows quantum classical couplingAT & Diósi (2016)

an instantiation: the csl model

The “good” choice of primitive ontology is w, not ⟨M(x)⟩:

∙ Is the natural object appearing in the linear eq.∙ Does projects down to R3 the localization of the state:

wt(x) = 2√λ ⟨Mσ(x)⟩+ bt(x)

white

∙ Allows to reconstruct the state exactly: w → |ψw⟩∙ Allows a time symmetric formulation of collapse

Bedingham & Maroney (2015)

∙ Is the natural Lorentz invariant object in generalizationsTumulka (2006), Bedingham (2011)

∙ Allows quantum classical couplingAT & Diósi (2016)

an instantiation: the csl model

The “good” choice of primitive ontology is w, not ⟨M(x)⟩:

∙ Is the natural object appearing in the linear eq.∙ Does projects down to R3 the localization of the state:

wt(x) = 2√λ ⟨Mσ(x)⟩+ bt(x)

white

∙ Allows to reconstruct the state exactly: w → |ψw⟩∙ Allows a time symmetric formulation of collapse

Bedingham & Maroney (2015)

∙ Is the natural Lorentz invariant object in generalizationsTumulka (2006), Bedingham (2011)

∙ Allows quantum classical couplingAT & Diósi (2016)

an instantiation: the csl model

The “good” choice of primitive ontology is w, not ⟨M(x)⟩:

∙ Is the natural object appearing in the linear eq.∙ Does projects down to R3 the localization of the state:

wt(x) = 2√λ ⟨Mσ(x)⟩+ bt(x)

white

∙ Allows to reconstruct the state exactly: w → |ψw⟩∙ Allows a time symmetric formulation of collapse

Bedingham & Maroney (2015)

∙ Is the natural Lorentz invariant object in generalizationsTumulka (2006), Bedingham (2011)

∙ Allows quantum classical couplingAT & Diósi (2016)

an instantiation: the csl model

The “good” choice of primitive ontology is w, not ⟨M(x)⟩:

∙ Is the natural object appearing in the linear eq.∙ Does projects down to R3 the localization of the state:

wt(x) = 2√λ ⟨Mσ(x)⟩+ bt(x)

white

∙ Allows to reconstruct the state exactly: w → |ψw⟩∙ Allows a time symmetric formulation of collapse

Bedingham & Maroney (2015)

∙ Is the natural Lorentz invariant object in generalizationsTumulka (2006), Bedingham (2011)

∙ Allows quantum classical couplingAT & Diósi (2016)

a recipe for collapse models

Start with a quantum system

a recipe for collapse models

Couple it with a bosonic bath

a recipe for collapse models

Trace out the bath

a recipe for collapse models

Stochastically unravel the evolution

a recipe for collapse models

Normalize the state and cook the measure

a recipe for collapse models

Keep only the primitive ontology

→ you now have a single cat, living in R3

a recipe for collapse models

Keep only the primitive ontology

→ you now have a single cat, living in R3

changing the recipe for qft

Take an interacting QFT:

changing the recipe for qft

Split fermions and bosons:

→ now do the same as before with the bosons as bath

changing the recipe for qft

Split fermions and bosons:

→ now do the same as before with the bosons as bath

changing the recipe for qft

Final picture:

This time without changing the empirical content of the theory!

changing the recipe for qft

Final picture:

This time without changing the empirical content of the theory!

in practice

Consider a Yukawa theory:

Lf(ψ, ∂µψ) = ψ(i/∂ − mf)ψ

Lint(ψ, ϕ) = g ψ ψ ϕ

Lb(ϕ, ∂µϕ) =12∂µϕ∂

µϕ− 12m2

bϕ2,

Take the momentum regularization Λ as fundamental

in practice

Consider a Yukawa theory:

Lf(ψ, ∂µψ) = ψ(i/∂ − mf)ψ

Lint(ψ, ϕ) = g ψ ψ ϕ

Lb(ϕ, ∂µϕ) =12∂µϕ∂

µϕ− 12m2

bϕ2,

Take the momentum regularization Λ as fundamental

in practice

1) Integrating out the bosons

Define ρt = trb[ρtot].

Wick’s theorem gives:

ρf(t) = T exp(iΦ

[jL, jR

])· ρf(ti)

where Φ[jL, jR] is the “operator” influence phase functional:

iΦ[jL, jR

]=

∫ t

ti

∫ t

ti

d4x d4y D(x, y) jL(x)jR(y)

− 12θ(x

0 − y0)D(x, y) jL(x)jL(y)− 12θ(y

0 − x0)D(x, y) jR(x)jR(y)

with D(x, y) = trb

[ϕ(x)ϕ(y) ρb(ti)

].

in practice

1) Integrating out the bosons

Define ρt = trb[ρtot]. Wick’s theorem gives:

ρf(t) = T exp(iΦ

[jL, jR

])· ρf(ti)

where Φ[jL, jR] is the “operator” influence phase functional:

iΦ[jL, jR

]=

∫ t

ti

∫ t

ti

d4x d4y D(x, y) jL(x)jR(y)

− 12θ(x

0 − y0)D(x, y) jL(x)jL(y)− 12θ(y

0 − x0)D(x, y) jR(x)jR(y)

with D(x, y) = trb

[ϕ(x)ϕ(y) ρb(ti)

].

in practice

1) Integrating out the bosons

Define ρt = trb[ρtot]. Wick’s theorem gives:

ρf(t) = T exp(iΦ

[jL, jR

])· ρf(ti)

where Φ[jL, jR] is the “operator” influence phase functional:

iΦ[jL, jR

]=

∫ t

ti

∫ t

ti

d4x d4y D(x, y) jL(x)jR(y)

− 12θ(x

0 − y0)D(x, y) jL(x)jL(y)− 12θ(y

0 − x0)D(x, y) jR(x)jR(y)

with D(x, y) = trb

[ϕ(x)ϕ(y) ρb(ti)

].

in practice

2) Unraveling the open evolution

|ψξ(t)⟩ =T exp− i

∫ t

ti

d4x ȷ(x) ξ(x)

−∫ t

ti

∫ t

ti

d4x d4y θ(x0 − y0) [D − S](x, y) ȷ(x)ȷ(y)|ψξ(t)⟩

with

E[ξ(x)ξ∗(y)] = D(x, y),E[ ξ(x) ξ(y) ] = S(x, y).

Note: importantly, finding ξ with the correlation matrix D is alwayspossible (the relation matrix S is a free parameter)

in practice

2) Unraveling the open evolution

|ψξ(t)⟩ =T exp− i

∫ t

ti

d4x ȷ(x) ξ(x)

−∫ t

ti

∫ t

ti

d4x d4y θ(x0 − y0) [D − S](x, y) ȷ(x)ȷ(y)|ψξ(t)⟩

with

E[ξ(x)ξ∗(y)] = D(x, y),E[ ξ(x) ξ(y) ] = S(x, y).

Note: importantly, finding ξ with the correlation matrix D is alwayspossible (the relation matrix S is a free parameter)

in practice

3) Cook the measure

dµt(ξ) = ⟨ψξ(t)|ψξ(t)⟩dµti(ξ)

Finally push ti → −∞, t → +∞

In functional integral representation:

dµ+∞ ∝∣∣∣∣∫ D[ψ]D[ψ]κ[ψψ] exp

(iSf + i

∫d4x Jψ + Jψ − gψψξ

)∣∣∣∣2dµ−∞

in practice

3) Cook the measure

dµt(ξ) = ⟨ψξ(t)|ψξ(t)⟩dµti(ξ)

Finally push ti → −∞, t → +∞

In functional integral representation:

dµ+∞ ∝∣∣∣∣∫ D[ψ]D[ψ]κ[ψψ] exp

(iSf + i

∫d4x Jψ + Jψ − gψψξ

)∣∣∣∣2dµ−∞

in practice

3) Cook the measure

dµt(ξ) = ⟨ψξ(t)|ψξ(t)⟩dµti(ξ)

Finally push ti → −∞, t → +∞

In functional integral representation:

dµ+∞ ∝∣∣∣∣∫ D[ψ]D[ψ]κ[ψψ] exp

(iSf + i

∫d4x Jψ + Jψ − gψψξ

)∣∣∣∣2dµ−∞

in practice

One can prove collapse in position and amplification

Collapse “strength” Ω between two points x and y:

Ω+∞(x,y) = −g2

(2π)2

(K0 (mb|x − y|)− K0 (Λ|x − y|)− log

mb

]).

in practice

One can prove collapse in position and amplification

Collapse “strength” Ω between two points x and y:

Ω+∞(x,y) = −g2

(2π)2

(K0 (mb|x − y|)− K0 (Λ|x − y|)− log

mb

]).

discussion

reconsidering collapse

∙ Collapse can be seen as an interpretation of QFT∙ Expected empirical signatures of collapse computed so far areartifacts of Markovianity / frame dependence.

reconsidering collapse

∙ Collapse can be seen as an interpretation of QFT

∙ Expected empirical signatures of collapse computed so far areartifacts of Markovianity / frame dependence.

reconsidering collapse

∙ Collapse can be seen as an interpretation of QFT∙ Expected empirical signatures of collapse computed so far areartifacts of Markovianity / frame dependence.

reconsidering qft

1) QFTs can be seen as theories about fields

2) QFTs can be fundamentally UV-regularized

No Ostrogradsky instability, i.e. no need for:

→ makes Wilsonian renormalization transparent

reconsidering qft

1) QFTs can be seen as theories about fields

2) QFTs can be fundamentally UV-regularized

No Ostrogradsky instability, i.e. no need for:

→ makes Wilsonian renormalization transparent

reconsidering qft

1) QFTs can be seen as theories about fields

2) QFTs can be fundamentally UV-regularized

No Ostrogradsky instability, i.e. no need for:

→ makes Wilsonian renormalization transparent

reconsidering qft

1) QFTs can be seen as theories about fields

2) QFTs can be fundamentally UV-regularized

No Ostrogradsky instability, i.e. no need for:

→ makes Wilsonian renormalization transparent

reconsidering qft

1) QFTs can be seen as theories about fields

2) QFTs can be fundamentally UV-regularized

No Ostrogradsky instability, i.e. no need for:

→ makes Wilsonian renormalization transparent

limitations

∙ So far, harder to analyse with QED

∙ Not trivial to connect with physical parameters →renormalization

∙ It would be better to work from first principles

limitations

∙ So far, harder to analyse with QED∙ Not trivial to connect with physical parameters →renormalization

∙ It would be better to work from first principles

limitations

∙ So far, harder to analyse with QED∙ Not trivial to connect with physical parameters →renormalization

∙ It would be better to work from first principles

Summary

One can construct “simple” relativistic collapse models

They can be made equivalent to QFT

This gives an interpretation of QFT as a SFT

Still analytical, numerical and conceptual cleaning to do

Summary

One can construct “simple” relativistic collapse models

They can be made equivalent to QFT

This gives an interpretation of QFT as a SFT

Still analytical, numerical and conceptual cleaning to do

Summary

One can construct “simple” relativistic collapse models

They can be made equivalent to QFT

This gives an interpretation of QFT as a SFT

Still analytical, numerical and conceptual cleaning to do

Summary

One can construct “simple” relativistic collapse models

They can be made equivalent to QFT

This gives an interpretation of QFT as a SFT

Still analytical, numerical and conceptual cleaning to do

Summary

One can construct “simple” relativistic collapse models

They can be made equivalent to QFT

This gives an interpretation of QFT as a SFT

Still analytical, numerical and conceptual cleaning to do