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Network Synthesis of Linear Dynamical Quantum Stochastic Systems Hendra Nurdin (ANU) Matthew James (ANU) Andrew Doherty (U. Queensland)

Network Synthesis of Linear Dynamical Quantum Stochastic Systems

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Network Synthesis of Linear Dynamical Quantum Stochastic Systems. Hendra Nurdin (ANU) Matthew James (ANU) Andrew Doherty (U. Queensland). TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A. Outline of talk. Linear quantum stochastic systems - PowerPoint PPT Presentation

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Page 1: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Network Synthesis of Linear Dynamical Quantum Stochastic

Systems

Hendra Nurdin (ANU)

Matthew James (ANU)

Andrew Doherty (U. Queensland)

Page 2: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Outline of talk

• Linear quantum stochastic systems

• Synthesis theorem for linear quantum stochastic systems

• Construction of arbitrary linear quantum stochastic systems

• Concluding remarks

Page 3: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Linear stochastic systems

Page 4: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Linear quantum stochastic systems

An (Fabry-Perot) optical cavity

Non-commuting Wiener processes

Quantum Brownian motion

Page 5: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Oscillator mode

Page 6: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Lasers and quantum Brownian motion

f

O(GHz)+

O(MHz)

Spe

ctra

l den

sity

0

Page 7: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Linear quantum stochastic systems

x = (q1,p1,q2,p2,…,qn,pn)T

A1 = w1+iw2

A2 = w3+iw4

Am=w2m-1+iw2m

Y1 = y1 + i y2

Y2 = y33 + i y4

Ym’ = y2m’-12m’-1 + i y2m’

S

Quadratic Hamiltonian Linear coupling operator Scattering matrix S

B1

B2

Bm

Page 8: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Linear quantum stochastic dynamics

Page 9: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Linear quantum stochastic dynamics

Page 10: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Physical realizability and structural constraints

A, B, C, D cannot be arbitrary.

Assume S = I. Then the system is physically realizable if and only if

Page 11: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Motivation: Coherent control• Control using quantum

signals and controllers that are also quantum systems

• Strategies include: Direct coherent control not mediated by a field (Lloyd) and field mediated coherent control (Yanagisawa & Kimura, James, Nurdin & Petersen, Gough and James, Mabuchi)

Mabuchi coherent control experimentJames, Nurdin & Petersen, IEEE-

TAC

Page 12: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Coherent controller synthesis

• We are interested in coherent linear controllers:– They are simply parameterized by matrices

– They are relatively more tractable to design

• General coherent controller design methods may produce an arbitrary linear quantum controller

• Question: How do we build general linear coherent controllers?

Page 13: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Linear electrical network synthesis

• We take cues from the well established classical linear electrical networks synthesis theory (e.g., text of Anderson and Vongpanitlerd)

• Linear electrical network synthesis theory studies how an arbitrary linear electrical network can be synthesized by interconnecting basic electrical components such as capacitors, resistors, inductors, op-amps etc

Page 14: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Linear electrical network synthesis• Consider the following state-space representation:

Page 15: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Synthesis of linear quantum systems• “Divide and conquer” – Construct the system as a suitable

interconnection of simpler quantum building blocks, i.e., a quantum network, as illustrated below:

(S,L,H)

?

?

?

?

?

?

Networksynthesis

Quantum network

Input fields

Output fields

Input fields

Output fields

Wish to realize this system

Page 16: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Challenge

• The synthesis must be such that structural constraints of linear quantum stochastic systems are satisfied

Page 17: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Concatenation product

G1

G2

Page 18: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Series product

G1 G2

Page 19: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Two useful decompositions

(S,0,0) (I,L,H)

(S,L,H)

(I,S*L,H) (S,0,0)

(S,L,H)

(S,0,0)

Static passive network

Page 20: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Direct interaction Hamiltonians

Gj Gk

HjkG

G1G2

H12G

Gn

H2n

H1n

. . .

d

d d

d

Page 21: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

A network synthesis theorem

G1 G2 G3 Gn

H12

H23

H13

H2n

H3n

H1nG = (S,L,H)

A(t) y(t)

• The Gj’s are one degree (single mode) of freedom oscillators with appropriate parameters determined using S, L and H • The Hjk’s are certain bilinear interaction Hamiltonian between Gj and Gk determined using S, L and H

Page 22: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

A network synthesis theorem

• According to the theorem, an arbitrary linear quantum system can be realized if– One degree of freedom open quantum harmonic

oscillators G = (S,Kx,1/2xTRx) can be realized, or both one degree of freedom oscillators of the form G’ = (I,Kx,1/2xTRx) and any static passive network S can be realized

– The direct interaction Hamiltonians {Hjk} can be realized

Page 23: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

A network synthesis theorem

• The synthesis theorem is valid for any linear open Markov quantum system in any physical domain

• For concreteness here we explore the realization of linear quantum systems in the quantum optical domain. Here S can always be realized so it is sufficient to consider oscillators with identity scattering matrix

Page 24: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Realization of the R matrix

• The R matrix of a one degree of freedom open oscillator can be realized with a degenerate parametric amplifier (DPA) in a ring cavity structure (in a rotating frame at half-pump frequency)

Page 25: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Realization of linear couplings

• Linear coupling of a cavity mode a to a field can be (approximately) implemented by using an auxiliary cavity b that has much faster dynamics and can adiabatically eliminated

• Partly inspired by a Wiseman-Milburn scheme for field quadrature measurement

• Resulting equations can be derived using the Bouten-van Handel-Silberfarb adiabatic elimination theory

Two mode squeezer

Beam splitter

Page 26: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Realization of linear couplings

• An alternative realization of a linear coupling L = αa + βa* for the case α > 0 and α > |β| is by pre- and post-processing with two squeezers Squeezers

Page 27: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Realization of direct coupling Hamiltonians

• A direct interaction Hamiltonian between two cavity modes a1 and a2 of the form:

can be implemented by arranging the two ring cavities to intersect at two points where a beam splitter and a two mode squeezer with suitable parameters are placed

Page 28: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Realization of direct coupling Hamiltonians

• Many-to-many quadratic interaction Hamiltonian

can be realized, in principle, by simultaneously implementing the pairwise quadratic interaction Hamiltonians {Hjk}, for instance as in the configuration shown on the right

Complicated in general!

Page 29: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Synthesis example

Page 30: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Synthesis example

HTMS2 = 5ia1* a2

* + h.c.

HDPA = ia1* a2

* + h.c.

HTMS1 = 2ia1* a2

* + h.c.

Coefficient = 4

Coefficient =100

HBS1 = -10ia1* b + h.c.

a1 = (q1 + p1)/2a2 = (q2 + p2)/2

b is an auxiliary cavity mode

HBS2 = -ia1* a2 + h.c.

Page 31: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Conclusions

• A network synthesis theory has been developed for linear dynamical quantum stochastic systems

• The theory allows systematic construction of arbitrary linear quantum systems by cascading one degree of freedom open quantum harmonic oscillators

• We show in principle how linear quantum systems can be systematically realized in linear quantum optics

Page 32: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

Recent and future work

• Alternative architectures for synthesis (recently submitted)

• Realization of quantum linear systems in other physical domains besides quantum optics (monolithic photonic circuits?)

• New (small scale) experiments for coherent quantum control

• Applications (e.g., entanglement distribution)

Page 33: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

To find out more…

• Preprint: H. I. Nurdin, M. R. James and A. C. Doherty, “Network synthesis of linear dynamical quantum stochastic systems,” arXiv:0806.4448, 2008

Page 34: Network Synthesis of Linear Dynamical Quantum Stochastic Systems

That’s all folks

THANK YOU FOR LISTENING!