COHERENT CONTROL VIA QUANTUM FEEDBACK NETWORKS

Similar documents
arxiv: v1 [quant-ph] 3 Sep 2013

Control and Robustness for Quantum Linear Systems

Quantum Linear Systems Theory

Design and analysis of autonomous quantum memories based on coherent feedback control

AN INTRODUCTION CONTROL +

Robust Linear Quantum Systems Theory

C.W. Gardiner. P. Zoller. Quantum Nois e. A Handbook of Markovian and Non-Markovia n Quantum Stochastic Method s with Applications to Quantum Optics

Introduction to Quantum Linear Systems

Coherent feedback control and autonomous quantum circuits

Zeno Dynamics for Open Quantum Systems

Quantum Linear Systems Theory

Feedback Control of Quantum Systems. Matt James ANU

Robust Control of Linear Quantum Systems

arxiv: v3 [quant-ph] 30 Oct 2014

Quantum Dissipative Systems and Feedback Control Design by Interconnection

Control of elementary quantum flows Luigi Accardi Centro Vito Volterra, Università di Roma Tor Vergata Via di Tor Vergata, snc Roma, Italy

Further Results on Stabilizing Control of Quantum Systems

The Series Product and Its Application to Quantum Feedforward and Feedback Networks

Quantum Dissipative Systems and Feedback Control Design by Interconnection

Model reduction of cavity nonlinear optics for photonic logic: A quasi-principal components approach

arxiv: v1 [quant-ph] 16 Mar 2016

Optical Quantum Imaging, Computing, and Metrology: WHAT S NEW WITH N00N STATES? Jonathan P. Dowling

MEASUREMENT THEORY QUANTUM AND ITS APPLICATIONS KURT JACOBS. University of Massachusetts at Boston. fg Cambridge WW UNIVERSITY PRESS

Hideo Mabuchi Edward L. Ginzton Laboratory, Stanford University, Stanford, CA 94305, USA

Quantum error correction for continuously detected errors

Applied Physics 150a: Homework #3

Coherent controllers for optical-feedback cooling of quantum oscillators

Quantum optics. Marian O. Scully Texas A&M University and Max-Planck-Institut für Quantenoptik. M. Suhail Zubairy Quaid-i-Azam University

arxiv: v1 [quant-ph] 28 Feb 2019

Do we need quantum light to test quantum memory? M. Lobino, C. Kupchak, E. Figueroa, J. Appel, B. C. Sanders, Alex Lvovsky

Robust observer for uncertain linear quantum systems

MEMORY FOR LIGHT as a quantum black box. M. Lobino, C. Kupchak, E. Figueroa, J. Appel, B. C. Sanders, Alex Lvovsky

QUANTUM SENSORS: WHAT S NEW WITH N00N STATES? Jonathan P. Dowling

A Simple Model of Quantum Trajectories. Todd A. Brun University of Southern California

Squeezed light in an optical parametric oscillator network with coherent feedback quantum control

On the first experimental realization of a quantum state feedback

Towards quantum metrology with N00N states enabled by ensemble-cavity interaction. Massachusetts Institute of Technology

arxiv: v1 [quant-ph] 14 Nov 2011

MESOSCOPIC QUANTUM OPTICS

Quantum White Noise with Singular Non-Linear Interaction. L. Accardi 1, I.V. Volovich 2

Feedback and Time Optimal Control for Quantum Spin Systems. Kazufumi Ito

Nonlinear quantum input-output analysis using Volterra series

Hardwiring Maxwell s Demon Tobias Brandes (Institut für Theoretische Physik, TU Berlin)

General Optimality of the Heisenberg Limit for Quantum Metrology

The Two Level Atom. E e. E g. { } + r. H A { e e # g g. cos"t{ e g + g e } " = q e r g

QUANTUM TECHNOLOGIES: THE SECOND QUANTUM REVOLUTION* Jonathan P. Dowling

Coherent superposition states as quantum rulers

Quantum Neural Network

Continuous quantum measurement process in stochastic phase-methods of quantum dynamics: Classicality from quantum measurement

1 Mathematical preliminaries

Driving Qubit Transitions in J-C Hamiltonian

arxiv:quant-ph/ v1 27 Oct 1998

Single-Mode Displacement Sensor

Exploring finite-dimensional Hilbert spaces by Quantum Optics. PhD Candidate: Andrea Chiuri PhD Supervisor: Prof. Paolo Mataloni

Simple scheme for efficient linear optics quantum gates

SUPPLEMENTARY INFORMATION

Realization of squeezing of single photons and a dynamic squeezing gate -- linear and nonlinear feedforward --

FIG. 16: A Mach Zehnder interferometer consists of two symmetric beam splitters BS1 and BS2

Ion trap quantum processor

Quantum computing and quantum communication with atoms. 1 Introduction. 2 Universal Quantum Simulator with Cold Atoms in Optical Lattices

Susana F. Huelga. Dephasing Assisted Transport: Quantum Networks and Biomolecules. University of Hertfordshire. Collaboration: Imperial College London

Jyrki Piilo. Lecture II Non-Markovian Quantum Jumps. Turku Centre for Quantum Physics Non-Markovian Processes and Complex Systems Group

Feedback Control and Counting Statistics in Quantum Transport Tobias Brandes (Institut für Theoretische Physik, TU Berlin)

arxiv: v1 [quant-ph] 16 May 2007

Universality of the Heisenberg limit for phase estimation

arxiv: v3 [quant-ph] 12 Dec 2015

Citation 数理解析研究所講究録 (1999), 1099:

Stochastic UV renormalization

A Guide to Experiments in Quantum Optics

PHY 396 K. Problem set #5. Due October 9, 2008.

10.6 Propagating quantum microwaves

A Rough Introduction to Quantum Feedback Control

Exploring the quantum dynamics of atoms and photons in cavities. Serge Haroche, ENS and Collège de France, Paris

Comment on a Proposed Super-Kamiokande Test for Quantum Gravity Induced Decoherence Effects

Content of the lectures

Open Quantum Systems

Quantum Control Theory; The basics. Naoki Yamamoto Keio Univ.

Lectures on Quantum Optics and Quantum Information

Lecture 11, May 11, 2017

Universal continuous-variable quantum computation: Requirement of optical nonlinearity for photon counting

Carlton M. Caves University of New Mexico

University of New Mexico

Two-mode excited entangled coherent states and their entanglement properties

arxiv: v1 [math-ph] 7 Aug 2013

Optomechanics: Hybrid Systems and Quantum Effects

Adiabatic evolution and dephasing

Continuous Quantum Hypothesis Testing

Dynamical Casimir effect in superconducting circuits

V. Theory of Measurement Feedback Based Quantum Neural Networks. 5.1 A quantum model based on density operator master equations and homodyne

Quantum entanglement and light propagation through Bose-Einstein condensate (BEC) M. Emre Taşgın

Quantum Feedback Stabilized Solid-State Emitters

Quantum feedback control and classical control theory

arxiv: v1 [quant-ph] 6 Aug 2009

Autonomous Quantum Error Correction. Joachim Cohen QUANTIC

Bell s Theorem. Ben Dribus. June 8, Louisiana State University

Multimode Entanglement in. Continuous Variables

Jyrki Piilo NON-MARKOVIAN OPEN QUANTUM SYSTEMS. Turku Centre for Quantum Physics Non-Markovian Processes and Complex Systems Group

High rate quantum cryptography with untrusted relay: Theory and experiment

IT IS A basic fact of nature that at small scales at the level

Adaptive Optical Phase Estimation Using Time-Symmetric Quantum Smoothing

Transcription:

COHERENT CONTROL VIA QUANTUM FEEDBACK NETWORKS Kavli Institute for Theoretical Physics, Santa Barbara, 2013 John Gough Quantum Structures, Information and Control, Aberystwyth

Papers J.G. M.R. James, Commun. Math. Phys., 287, 1109-1132 (2009) J. G., M.R. James, IEEE Transactions on Automatic Control, (2009) O.G. Smolyanov, A. Truman, Doklady Math, Vol 8, No. 3, 974-977(2010)h, Vol 8, No. 3, 974-977(2010)

Quantum Technology: The 2nd Quantum Revolution Organizing and controlling the components of complex systems governed by the laws of quantum physics. New principles: uncertainty principle superposition of states tunneling entanglement decoherence J.P. Dowling and G.J. Milburn, Phil Trans Roy. Soc. London (2003)

Why networks? Figure : single transistor Figure : integrated network Kavli Institute for Theoretical Physics, Santa Barbara, 2013 John COHERENT Gough Quantum CONTROL Structures, VIAInformation QUANTUMand FEEDBACK Control, Aberystw NETWO

Networks and Control NETWORKS AND FEEDBACK CONTROL Types of closed loop control: Coherent feedback control Measurement-based feedback control The distinction is fundamental in quantum control!

Coherent Feedback Figure : system and controller

Measurement Based Feedback Figure : System controlled by measurement

Control through Interconnection! Denmark s great conribution to technology...

Control through Interconnection! Denmark s great conribution to technology... Figure : Lego!!!!!

Connections through direct coupling Given an system with Hamiltonian H S on Hilbert space h S, couple the system directly to a second system (the governor) with Hilbert space h G. System Governor The total evolution on h S h G is of the form H = H S 1 G + 1 S H G + V. Design problems of this type first promoted by Seth Lloyd.

Connections mediated by quantum fields We consider formal white noise processes with B (t) = t [b (t), b (s)] = δ (t s) 0 b (s) ds, B (t) = t 0 b (s) ds. It is possible to build a non-commutative version of the Itō calculus (Hudson-Parthasarathy) on the Fock space over L 2 [0, ) with respect to differentials db (t) and db (t), and we have db (t) db (t) = dt.

A unitary system + noise dynamics: { } du = L db L db ih dt U Weyl-Stratonovich form, { ( 1 L db L db Wick-Itō form. 2 L L + ih ) } dt U Mathematically, the Itō version is well-defined and one has X dy = XdY + 1 dxdy. Itō differentials are future pointing: 2 dx (t) := X (t + dt) X (t).

The flow of system observables j t (X ) = U (t) [X 1] U (t): [ ] dj t (X ) = j t (LX ) dt + j t ([X, L])dB + j t ( L, X )db, where the (Gorini-Kossakowski-Sudarshan-Lindblad) generator is LX = 1 2 [L, X ]L + 1 2 L [X, L] i [X, H]. Taking averages in the vacuum state: d dt j t(x ) = j t (LX ), as the forward pointing differentials average to zero.

For example, we may have an optical cavity with coupling L = γa. Figure : Absorption of field quanta Figure : emission of field quanta

It is possible to introduce a scattering process Λ (t) = t and we have the quantum Itō table 0 b (s) b (s) ds dλ db db db dt dλ dλ db We have the quantum Itō product rule d(xy ) = X dy + (dx ) Y = X dy + dx Y + dx dy. All done in 1984 by Hudson and Parthasarathy!

( ) The general unitary is E αβ = E βα du = i { } E 11 dλ + E 10 db + E 01 db + E 00 dt U with formal Hamiltonian Υ(t) = E 11 b (t)b(t) + E 10 b (t) + E 01 b(t) + E 00 1.

The Itō form is { du = (S I ) dλ + L db L S db ( 1 } 2 L L + ih) dt U where S = 1 i 2 E 11 1 1 + i 2 E (unitary!), L = i 11 1 + i 2 E E 10, 11 H = E 00 + 1 2 E 1 01Im{ 1 + i 2 E }E 10 (self-adjoint!). 11

Quantum Feedback Networks We represent a system (S, L, H) as a single component with input and output field: System Hamiltonian H. Coupling operator L between the system and the field. Scattering operator S, unitary.

The Markov Property: the past is statistically independent of the future given the present. We note that the Fock space F for the Bose field decomposes for each times s < t as F = F s F [s,t] F t, where F [s,t] is the Fock space for the degrees of freedom of the field passing through the system from time s to time t. Figure : Gardiner s input formalism Figure : (S,L,H)

Quantum Itō Evolution Closed evolution (Schrödinger equation) du t = ihu t dt. Itō QSDE Unitary adapted quantum stochastic evolution du t = (S I )U t dλ (t) + LU t db (t) L SU t db (t) ( 1 2 L L + ih)u t dt. Heisenberg equations j t (X ) = U t (X 1)U t dj t (X ) = j t (S XS X )dλ (t) +j t (S [X, L])dB (t) + j t ([L, X ]S)dB (t) + j t (LX )dt. Output fields B out (t) = U t (1 B (t))u t db out (t) = j t (S)dB (t) + j t (L)dt.

Multiple inputs/outputs We may also represent the multi-channel case B 1 S 11 S 1n B =., S =..... B n S n1 S nn, L = L 1. L n

Beamsplitters These are a special case where L = 0 amd H = 0. [ ] [ ] [ ] B out 1 S11 S B2 out = 12 B1. S 21 S 22 B 2

Figure : classical feedback diagram

Cascades: Systems in Series We generalize the notion of cascade introduced by H.J. Carmichael. db (2) out = S 2 db (2) in + L 2dt = S 2 (S 1 db (1) in + L 1dt) + L 2 dt = S 2 S 1 B (1) in + (S 2L 1 + L 2 )dt H.J. Carmichael, Phys. Rev. Lett., 70(15):2273 2276, 1993.

The Series Product The cascaded system in the instantaneous feedforward limit is equivalent to the single component (S 2, L 2, H 2 ) (S 1, L 1, H 1 ) = ( }) S 2 S 1, L 2 + S 2 L 1, H 1 + H 2 + Im {L 2 S 2L 1. J. G., M.R. James, The Series Product and Its Application to Quantum Feedforward and Feedback Networks IEEE Transactions on Automatic Control, 2009.

Modeling double-pass atom-field coupling Figure : Production of Squeezed Light J. F. Sherson and K. Moelmer, Phys. Rev. Lett. 97, 143602 (2006). Gopal Sarma, Andrew Silberfarb, and Hideo Mabuchi Phys. Rev. A 78, 025801 (2008)

Bilinear Control Hamiltonian Based on H. M. Wiseman and G. J. Milburn. All-optical versus electro-optical quantum-limited feedback. Phys. Rev. A, 49(5):41104125, 1994. (I, u (t), 0) ( I, 0, 0) (I, L, 0) ( I, 0, 0) (I, u (t), 0) (I, L, 0) = (I, 0, H (t)) where H (t) = Im{L u(t)} = 1 2i L u (t) 1 2i Lu (t). J. G., Construction of bilinear control Hamiltonians using the series product and quantum feedback Phys. Rev. A 78, 052311 (2008)

Direct Measurement Feedback 1st pass - (I, L, H 0 ) 2nd pass - corresponding to U(t + dt, t) = exp{ ifdj (t)}. Homodyne detection, J t = B (t) + B (t), (dj) 2 = dt, 2nd pass is (I, if, 0) ( closed loop (I, if, 0) (I, L, H 0 ) = I, L if, H 0 + 1 ( ) ) FL + L F ; 2 Photon counting, J t = Λ t, (dj) 2 = dj, 2nd pass is (S = e if, 0, 0) closed loop (S, 0, 0) (I, L, H 0 ) = (S, SL, H 0 ).

Components in-loop Model considered by M. Yanagisawa utilizing a beamsplitter Feedback loops introduce topologically nontrivial paths! Which way did the signal go?

Example [ ] S11 S beamsplitter S = 12, S 21 S 22 and in-loop component (S 0, L 0, 0): where db 2 = S 0 db out 2 + L 0 dt = S 0 (S 21 db 1 + S 22 db 2 ) + L 0 dt db out 1 = S 11 db 1 + S 12 db 2 Ŝ0dB 1 + ˆL 0 dt Ŝ 0 = S 11 + S 12 (I S 0 S 22 ) 1 S 0 S 21, ˆL0 = S 12 (I S 22 ) 1 S 0 L 0. Equivalent component (Ŝ 0, ˆL 0, Ĥ 0 ):

General Networks More generally how do we build arbitrary networks from multiple components. How do we obtain the limit of instantaneous feedback/forward, i.e., eliminate the internal connections?

Open loop system in parallel Concatenation S 1 0 0 n j=1 (S j, L j, H j ) =. 0.. 0 0 0 S n, L 1. L n, H 1 + + H n.

Feedback Reduction Formula: Edge elimination The reduced model obtained by eliminating the edge (r 0, s 0 ) is S red sr = S sr + S sr0 (1 S s0 r 0 ) 1 S s0 r, L red s = L s + S sr0 (1 S s0 r 0 ) 1 L s0, H red = H + ImL ss sr0 (1 S s0 r 0 ) 1 L s0. inputs s J. G., M.R. James, Quantum Feedback Networks: Hamiltonian Formulation Commun. Math. Phys., 1109-1132, Volume 287, Number 3 / May, 2009.

Properties of the Feedback Reduction Formula Mathematically a Schur complement of the matrix of coefficient operators [ 1 G = 2 L L ih L ] S. L S I Equivalently formulated as a fractional linear transformation. Independent of the order of edge-elimination. Commutes with adiabatic elimination of fast degrees of freedom of components (see talk by Hendra Nurdin).

The contruction of system with controller forming a coherent feedback system mediated by Bose fields is now routine. external external internal X

In-loop degenerate parametric amplifier H DPA = iε ( 4 a 2 a 2), L = κa. Beamsplitter with matrix [ α 1 α 2 T = 1 α 2 α ]. In-loop renormalized coupling strength κ (α) = 1 α 1 + α κ. Squeezing parameter r DPA (α) = ln κ (α) + ε κ (α) ε. J.G, S. Wildfeuer Enhancement of Field Squeezing Using Coherent Feedback, Phys. Rev. A 80, 042107 (2009) S. Iida, M. Yukawa, H. Yonezawa, N. Yamamoto, and A. Furusawa, Experimental demonstration of coherent feedback control on optical field squeezing, IEEE TAC 2011

Design of quantum memories Figure : Schematic diagram of a coherent-feedback J. Kerckhoff, H.I. Nurdin, D. Pavlichin, H. Mabuchi Designing Quantum Memories with Embedded Control: Photonic Circuits for Autonomous Quantum Error Correction, PRL 105, 040502 (2010)