4. Continuously monitored <strong>Bose</strong> condensates: quasiprobability distributionsfrequency Ω, which is given by the overlap between the local modes <strong>of</strong> each well. This Itostochastic equation describes the state <strong>of</strong> the system conditioned on a particular history<strong>of</strong> measurement results[181, 179]. The value <strong>of</strong> the measured current, which depends ona classical random variable, feeds back into the master equation via 〈 Ĵ x , resulting in a〉cstochastic state matrix ˆρ c .One ‘classical’ description is to write down equations <strong>of</strong> motion for diagonal elementsρ m,m <strong>of</strong> the state matrix in the number state basis:ρ m,m (t + dt) =ρ m,m (t)+ Ωdt (√j(j +1)− m(m +1)(ρm,m+1 (t)+ρ m+1,m (t)) −2√j(j +1)− m(m − 1)(ρm,m−1 (t)+ρ m−1,m (t)))+2 √ ΓdW (m − m) ρ m,m (t), (4.2)〈 ∣ ∣where ρ m,m = x j, m∣ˆρ c j, m 〉 x and m = ∑ m mρ m,m. Now ∣ ∣j, m 〉 are also the eigenstatesx<strong>of</strong> position, and so this equation gives the stochastic evolution <strong>of</strong> the conditional positiondistribution. Setting Ω = 0 and identifying x =2q 0 m/N gives the closed equation√ΓNρ c (x, t + dt) =ρ c (x, t)+ dW (x − x) ρ c (x, t), (4.3)q 0where ρ c (x) = ρ m,m .Thus without any tunnelling, the measurement process assignsa classical probability distribution to the variable x (as in [124]).This distribution isconditioned on previous imperfect measurement results and so is stochastic and nonlinear.When the system exists in an eigenstate <strong>of</strong> position, the stochastic term in Eq. (4.3)disappears and the distribution is stationary. Thus for the measurement to induce backactionfluctuations, the <strong>of</strong>f-diagonal coherences due to tunnelling must be present. Theseperiodically induce an uncertainty in x as the state precesses around the Ĵz axis <strong>of</strong> theBloch sphere, and it is at these times that measurement-induced fluctuations feed backinto the conditional state.4.2 Stochastic Gross-Pitaevskii equationContinuing our quest to formulate a semiclassical description <strong>of</strong> the back-action effects<strong>of</strong> the measurement, we now derive a modified Gross-Pitaevskii (GP) equation from thestochastic Shrödinger equation (Eq. (3.25)):d ∣ ∣ Ψc (t) 〉 =[−iĤ2dt − Γ (Ĵx − 〈 〉 ) 2 √ Ĵ x2c dt + γ(Ĵx − 〈 〉 ) ] ∣∣ΨcĴ x dW (t) 〉 (4.4)c79
4. Continuously monitored <strong>Bose</strong> condensates: quasiprobability distributionswhere, as in Ch. 2, Ĥ 2 =ΩĴz +2κĴ 2 x and ∣ ∣ Ψc (t) 〉 describes the conditional state <strong>of</strong> thesystem.We use the measurement part <strong>of</strong> this equation to derive the terms needed tomodify the GP equation. As in Sec. 2.2, we expand the state vector as∣ Ψc (t) 〉 = √ 1 [∫Nd 3 rΦ c (r,t) ˆψ † ∣ 〉(r, 0)]∣0 , (4.5)N!and then multiply Eq. (3.25) from the left by 〈 Ψ c (t) ∣ . We must calculate terms like〈Ψc (t) ∣ ∣ Ĵx∣Ψc (t) 〉 = N 〈Ψc (t) ∣ ∫dx2q ˆψ † (x)x ˆψ(x) ∣ Ψc (t) 〉0= N 22q 0∫dxΦ ∗ c (x, t)Φ c(x, t)x(4.6a)〈Ψc (t) ∣ Ĵ x∣2 ∣ Ψc (t) 〉 = N 24q 2 0= N 34q 2 0〈Ψc (t) ∣ ∫∫dx ˆψ † (x)x 2 ˆψ(x)∣ ∣Ψc (t) 〉dxΦ ∗ c(x, t)Φ c (x, t)x 2(4.6b)for the measurement terms in Eq. (3.25). For the other terms, we use the original manybodyHamiltonian (Eq. (2.1)) rather than the two-mode approximation Ĥ2. Minimisingthe integrand <strong>of</strong> the resultant expression givesi ∂ ]∂t Φ c(x, t) =[− 22m ∇2 + V (x)+V R (x, t)+NU 0 |Φ c (x, t)| 2 Φ c (x, t), (4.7)where E[x] = ∫ dxΦ ∗ c (x, t)Φ c(x, t)x and where V R (x, t) is a time-dependent, stochasticpotential:V R (x, t) =− N 2 Γ8q 2 0(x − E[x]) 2 + N√ Γ2q 0(x − E[x]) dW dt , (4.8)which is quadratic in x. Since Eq. (4.7) is an Ito equation, the unconditional evolution isobtained by simply deleting the noise term, in which case, V R (x, t) reduces to an invertedparabola. This parabola would repel the distribution Φ(x, t) fromthepointx = E[x],thus preventing the unconditional distribution to localise. In the conditional evolution,the stochastic contribution to the potential is large away from x = E[x], which couldpossibly cause the distribution Φ c (x, t) in individual trajectories to localise at different xvalues, or at least to remain compact around a mean that evolves in time.Although not considered in this thesis, numerical integration <strong>of</strong> Eq. (4.7) should leadto similar behaviour as in the fully quantum simulations. In other words, for an initialdistribution <strong>of</strong> an equal number <strong>of</strong> atoms in each well, the fluctuations induced by themeasurement should drive tunnelling oscillations. The main distinguishing feature between80
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Open Quantum Dynamics of Mesoscopic
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AcknowledgementsMy thanks must firs
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AbstractThe properties of an atomic
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CONTENTS4 Continuously monitored Bo
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List of Figures2.1 Two-mode approxi
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LIST OF FIGURES7.5 Angular momentum
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LIST OF ABBREVIATIONS AND SYMBOLSI{
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1. Condensation ‘without forces
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1. Condensation ‘without forces
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Chapter 2Properties of an atomic Bo
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2. Properties of an atomic Bose con
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Chapter 7Quantum simulations of eva
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A. Stochastic calculus in outlineco
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Appendix BQuasiprobability distribu
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B. Quasiprobability distributions u
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Bibliography[1] Agrawal, G. P. Nonl
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BIBLIOGRAPHY[22] Carter,S.J.Quantum
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BIBLIOGRAPHY[45] Drummond, P. D., C
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BIBLIOGRAPHY[68] Gordon,D.,andSavag
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BIBLIOGRAPHY[92] Jaksch,D.,Gardiner
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BIBLIOGRAPHY[114] Marshall, R. J.,
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BIBLIOGRAPHY[135] Naraschewski, M.,
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BIBLIOGRAPHY[158] Shelby, R. M., Le
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BIBLIOGRAPHY[179] Wiseman, H. M. Qu
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. . . but this book is already too