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Deterministic submanifolds and analytic solution of the stochastic differential equation describing a continuously measured qubit

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Deterministic submanifolds and analytic solution of the stochastic differential equation

describing a continuously measured qubit

Joint work with A. Sarlette,P. Campagne-Ibarcq, P. Six, L. Bretheau, M. Mirrahimi, and B. Huard IMA, Quantum and Nano Control, April 11-15, 2016

Pierre Rouchon

CAS, Mines ParisTech, PSL Research University

QUANTIC, Inria-Paris

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Outline

Measuring fluorescence of a qubit (slides of Benjamin Huard)

A positivity preserving numerical scheme for quantum filtering

The deterministic surface and integral quantities

When is a qubit confined to a deterministic surface ?

Conclusion

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A positivity preserving numerical scheme: diffusive case

1

With a single imperfect measuredyt=√ ηTr

(L+Lt

dt+dWtand detection efficiencyη∈[0,1], the quantum stateρtis usually mixed and obeys to

t=

i

~[H, ρt] +tL−1 2

LttLL dt

+√ η

ttL− Tr

(L+Lt

ρt

dWt

driven by the Wiener processdWt(Gaussian law of mean 0 and variancedt).

WithIt¯o rules, it can be written as the following "discrete-time" Markov model

ρt+dt = MdytρtMdy

t + (1−η)LρtLdt Tr

MdytρtMdy

t+ (1−η)LρtLdt withMdyt =I+

i

~H12 LL

dt+√

ηdytL. The probability to detectdytis given by the following density

P

dyt∈[s,s+ds]

= Tr

MsρtMs+ (1−η)LρtLdt

2π es

2 2dt ds

close to a Gaussian law of variancedtand mean√ ηTr

(L+Lt

dt.

1H. Amini, M. Mirrahimi, P.R. IEEE CDC, 2011. P.R., J. Ralph PRA 2015.

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A positivity preserving numerical scheme: diffusive/jump case

2

The quantum stateρtis usually mixed and obeys to

t= −i[H, ρt] +X ν

LνρtLν1

2(LνLνρt+ρtLνLν) +VµρtVµ1

2(VµVµρt+ρtVµVµ)

! dt

+X ν

ην

Lνρt+ρtLνTr

(Lν+Lνt ρt

dWν,t

+X µ

θµρt+P

µ0ηµ,µ0VµρtVµ θµ+P

µ0ηµ,µ0Tr Vµ0ρtV

µ0 ρt

dNµ(t) θµ+X

µ0 ηµ,µ0Tr

Vµ0ρtV µ0 dt

whereην[0,1],θµ, ηµ,µ00 withηµ0=P

µηµ,µ01 are parameters modelling measurements imperfections.

If, for someµ,Nµ(t+dt)Nµ(t) =1, we haveρt+dt=

θµρt+P

µ0ηµ,µ0Vµ0ρtV µ0 θµ+P

µ0ηµ,µ0Tr Vµ0ρtV

µ0 . When∀µ,dNµ(t) =0, we have

ρt+dt=

MdytρtM

dyt+P

ν(1ην)LνρtLνdt+P

µ(1ηµ)VµρtVµdt Tr

MdytρtM

dyt+P

ν(1ην)LνρtLνdt+P

µ(1ηµ)VµρtVµdt

withMdyt =I+

−iH1 2

P

νLνLν+12P µ

ηµTr

VµρtVµ IVµVµ

dt+P

ν

ηνdyνtLνand

wheredyν,t= ηνTr

(Lν+Lν)ρt

dt+dWν,t.

2H. Amini, C. Pellegrini, P.R.: Russian Journal of Mathematical Physics, 2014.

P.R:. Proceedings of International Congress of Mathematicians, Seoul 2014 (arXiv:1407.7810).

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The deterministic surface

3

The SME (γ1=1 here) dρt=

σ-ρσ+−σ+σ-ρ+ρσ+σ-

2

dt

+ qη

2 σ-ρ+ρσ+− Tr(σxρ)ρ dWI+

qη

2-ρ−iρσ+− Tr(σyρ)ρ dWQ

reads with the Bloch coordinates(x,y,z)

dxt =−12xtdt+ qη

2

(1+zt−xt2)dWI−xtytdWQ dyt =−1

2ytdt+ qη

2

−xtytdWI+ (1+zt−yt2)dWQ

dzt =−(1+zt)dt−q

η 2(1+zt)

xtdWI+ytdWQ

For any realization of starting from the same initial point(x0,y0,z0)we have

1

2 xt2+yt2

+ct(1+zt)2−(1+zt) =0

wherect = (c0η2)et+η2 remains in[12,+∞)andc0= x

2 0+y02 2(1+z0)2+1+z1

0.

3Ph. Campagne-Ibarcq et al. PRX 2016.

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The quantum filter is "solvable by elementary quadratures"

4

The solution of

dxt =−1

2xtdt+ qη

2

(1+zt−xt2)dWI−xtytdWQ

dyt =−12ytdt+ qη

2

−xtytdWI+ (1+zt−yt2)dWQ dzt =−(1+zt)dt−

qη

2(1+zt)

xtdWI+ytdWQ

can be computed from simple integrals of the signalsdIt=q

η

2xtdt+dWIand dQt =

qη

2ytdt+dWQ. This results from d

x 1+z

=12 x

t 1+zt

dt+

qη

2dIt, d

y 1+z

=12 y

t 1+zt

dt+

qη 2dQt

This provides a completion of12 xt2+yt2

+ct(1+zt)2−(1+zt) =0 with

xt 1+zt =et/2

x0 1+z0 +

qη 2

Z t

0

e−τ /2dIτ

, 1+zyt

t =et/2

y0 1+z0+

qη 2

Zt

0

e−τ /2dQτ

.

Related toPicard-Vessiot and Liouvillian extensions of differential fields: the solution of the quantum filter is an algebraic function of some integrals and exponentials of integral of its two inputsIt andQt.

4Ph. Campagne-Ibarcq et al. PRX 2016.

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The second case where the qubit is confined to a deterministic surface

5

Superconducting qubit dispersively coupled to a cavity traversed by a microwave signal (in- put/output theory). The back-action on the qubit state of a singlemeasure- mentof both output field quadratures It and Qt is described by a simple SME for the qubit density operator. (M. Hatridge et al.: Science, 2013).

t= γ(σzρσz−ρt) dt+

qηγ

2 σzρttσz−2 Tr(σzρtt

dWI+i qηγ

2z, ρt]dWQ withdIt=q

ηγ

2 Tr(2σzρt)dt+dWI anddQt =dWQ, whereγ≥0 is related to the measurement strength andη∈[0,1]is the detection efficiency.

The deterministic surface is given here by another ellipsoid of revolution axisz:

xt2+yt2+bt(zt2−1) =0 wherebt =b0e−2(1−η)t andb0=x02+y02 1−z20 .

5A. Sarlette, P.R.: preprint 2016 (arXiv:1603.05402).

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There are only two cases where the qubit is confined on an evolving surface

σz case σ-case

−1 −0.5 0 0.5 1

−1

−0.8

−0.6

−0.4

−0.2 0 0.2 0.4 0.6 0.8 1

−1 −0.5 0 0.5 1

−1

−0.8

−0.6

−0.4

−0.2 0 0.2 0.4 0.6 0.8 1

Theorem[A. Sarlette, P.R.: arXiv:1603.05402]For any initial stateρ0, the qubit state ρt, solution of the SME (ην∈(0,1))

t= X

ν

LνρtLν12(LνLνρttLνLν)

! dt

+X

ν

√ην

LνρttLν− Tr

(Lν+Lνt

ρt

dWν,t,

is restricted to a deterministically evolving 2-dimensional manifold if, and only if, I either existβν, αν∈Cand U∈U(2)such that LννzVν,∀ν I or existβν∈Cand V ∈U(2)such that Lνν-V,∀ν.

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Sketch of the proof (1)

Stroock-Varadhan theorem6

Consider a stochastic differential equation

dxt=F(xt)dt+

m

X

j=1

Gj(x)◦ dWtj,

with xt ∈RN the state, dWt1,dWt2, ...,dWtmindependent Wiener processes, x0fixed and the dynamics to be understood in the Stratonovitch sense (we therefore put the◦ symbol).

The support of the distribution of xtcan be described as the closure, for the natural Banach topology on C([0,1],RN), of the set of solutions of the following controlled system:

d˜xt =F(˜xt)dt+

m

X

j=1

Gj(˜x)dutj,

with˜x0=x0, for all possible control signals u1t,ut2, ...,umt in H1([0,1],Rm).

6D.W. Stroock and S.R.S. Varadhan, "On the support of diffusion processes with applications to the strong maximum principle", Proc. 6th Berkeley Symp. Mathematical Statistics and Probability vol.3, pp.333-359, 1972.

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Sketch of the proof (2)

I Strong accessibility theorem7The control system

d

dtx=F(x) +Pm

j=1Gj(x)ujwith analytic vector fields F,G1, ...,Gmis strongly accessible at x0if, and only if, thedrift-preserved Lie algebraGF 8has full dimension N at x0.

Moreover, ifGFhas dimension at most N−n<N for all x0, then the system stays on a (time-dependent) manifold of dimension N−n, independently of the control inputs.

I Stratonovitch form of the SME:

t=X ν

(1ην)

LνρtLν1

2(LνLνρt+ρtLνLν) dt

X ν

ην 2

LνLνρ+ρLνLν+ (Lν)2ρ+ρ(Lν)2

! dt

+ X

ν ην

2 Tr

LνLνρ+ρLνLν+ (Lν)2ρ+ρ(Lν)2

ρ

! dt

+ X

ν ηνTr

Lνρ+ρLν

(Lνρ+ρLν)ην

Tr

Lνρ+ρLν2 ρ

! dt

+X ν

ην

Lνρt+ρtLνTr

(Lν+Lνt

ρt

dWν,t.

7A. Isidori,Nonlinear Control Systems: An Introduction, Springer, Berlin, 1985

8GFis the smallest Lie algebra containingG(the Lie algebra generated by vector fieldsG1,G2, ...,Gm) and closed under Lie brackets withF, i.e. for anyG∈GF we have[F,G]∈GF.

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Concluding remarks

1. Stochastic master equations govern the dynamics of open quantum systems by taking into accountmeasurement back-actionanddecoherence(unread measurement).

2. Future work could investigate how general confinement of the density operator to submanifolds is in higher-dimensional Hilbert spaces.

3. Interest of continuous fluorescence signals(dIt,dQt)for the characterization of a dephasing noiseξt:

dxt = −γ22xttyt−v(t)zt dt+

qηγ1 2

(1+zt−xt2)dWI−xtytdWQ dyt = −ξtxtγ22yt+u(t)zt

dt+ qηγ1

2

−xtytdWI+ (1+zt−yt2)dWQ dzt = v(t)xt−u(t)yt−γ1(1+zt)

dt− qηγ1

2 (1+zt)

xtdWI+ytdWQ dIt =

qηγ1

2 xtdt+dWI

dQt ==

qηγ1

2 ytdt+dWQ

whereu(t)andv(t)are well chosen open-loop controls (see Lorenza Viola presentation and work).

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