quantum chaos in bose-hubbard circuits
TRANSCRIPT
Quantum chaos in Bose-Hubbard circuits
Quasistatic transfer protocols for atomtronic superfluid circuits
Doron Cohen, Ben-Gurion University
Circuits with condensed bosons are the building blocks for quantumAtomtronics. Such circuits will be used as QUBITs (for quantumcomputation) or as SQUIDs (for sensing of acceleration or gravitation).We study the feasibility and the design considerations for devices thatare described by the Bose-Hubbard Hamiltonian. It is essential torealize that the theory involves “Quantum chaos” considerations.
• The Bose-Hubbard Hamiltonian.
• Relevance of chaos for Metastability and Ergodicity.
• Relevance of chaos for Quasistatic transfer protocols.
• Relevance of chaos for Irreversibility and Dissipation.
Bosonic Junction
trimer
The Bose Hubbard Hamiltonian
The system consists of N bosons in M sites. Optionally we add a gauge-field Φ.
HBHH =U
2
M∑j=1
a†ja†jajaj −
Ω
2
M∑j=1
(a†j+1aj + a†jaj+1
)
u ≡NU
Ω[classical, stability, supefluidity, self-trapping]
γ ≡Mu
N2[quantum, Mott-regime]
[Dimer] Maya Chuchem, Smith-Mannschott, Hiller, TK, AV, DC (PRA 2010).
[Zener] Smith-Mannschott, Chuchem, Hiller, TK, DC (PRL 2009).
[Kapitza] Boukobza, Moore, DC, AV (PRL 2010).
[Driven] Christine Khripkov with AV and DC (PRA 2012, JPA 2013, PRE 2013).
[Thermalization] Tikhonenkov, AV, JA, DC (PRL 2013).
[Localization] Christine Khripkov, AV, DC (NJP 2015, PRE 2018, PRA 2020).
[Rings] Geva Arwas et al (PRA 2014, SREP 2015, NJP 2016, PRB 2017, PRA 2017, PRA 2019).
[Stirring] Hiller, TK, DC (EPL 2008, PRA 2008).
[STIRAP] Dey, DC, AV (PRL 2018, PRA 2019).
[Hysteresis] Burkle, AV, DC, JA (SREP 2019, PRL 2019).
[Transfer] Yehoshua Winsten, DC (arXiv 2020).
AV = Ami Vardi; TK = Tsampikos Kottos; JA = James Anglin; DC = Doron Cohen.
Quantum Chaos perspective on Metastability and Ergodicity
Stability of flow-states (I):
• Landau stability of flow-states (“Landau criterion”)
• Bogoliubov perspective of dynamical stability
• KAM perspective of dynamical stability
Stability of flow-states (II):
• Considering high dimensional chaos (M > 3).
• Web of non-linear resonances.
• Irrelevance of the the familiar Beliaev and Landau damping terms.
• Analysis of the quench scenario.
Coherent Rabi oscillations:
• The hallmark of coherence is Rabi oscillation between flow-states.
• Ohmic-bath perspective ; η = (π/√γ)
• Feasibility of Rabi oscillation for M < 6 devices.
• Feasibility of of chaos-assisted Rabi oscillation.
Thermalization:
• Spreading in phase space is similar to Percolation.
• Resistor-Network calculation of the diffusion coefficient.
• Observing regions with Semiclassical Localization.
• Observing regions with Dynamical Localization.
The Bose Hubbard Ring Circuit
In the rotating reference frame we have a Coriolis force,
which is like magntic field B = 2mΩ. Hence is is like having flux
H =
M∑j=1
[U
2a†ja†jajaj −
K
2
(ei(Φ/L)a†j+1aj + e−i(Φ/L)a†jaj+1
)]
H =∑k
εk(Φ) b†kbk +U
2L
′∑b†k4
b†k3bk2
bk1
Φ = 2πR2m Ω
For L=3 sites, using bk =√nke
iϕk , and M = (n1−n2)/2, and n = (n1+n2)/2
H(ϕ, n;φ,M) = H(0)(ϕ, n;M) +[H(+) +H(−)
]
H(0)(ϕ, n;M) = En+ E⊥M −U
3M2 +
2U
3(N − 2n)
[3
4n+
√n2 −M2 cos(ϕ)
]
H(±) =2U
3
√(N−2n)(n±M)(n∓M) cos
(3φ∓ϕ
2
)
Flow-state stability regime diagram
The I of the maximum current state is imaged as a function of (Φ, u)
• solid lines = energetic stability borders (Landau)
• dashed lines = dynamical stability borders (Bogoliubov)
M = 3
Φ/π
u
unstablestable
0.2 0.4 0.6 0.8
−1
0
1
2
3
4
5
0
0.2
0.4
0.6
0.8
1
M = 4
Φ/πu
unstableresonance
stable
−0.5 0 0.5 1
−4
−2
0
2
4
6
0
0.2
0.4
0.6
0.8
1
The traditional paradigm associates flow-states with stationary fixed-points in phase space.
Consequently the Landau criterion, and more generally the Bogoliubov linear-stability-analysis, are
used to determine the viability of superfluidity.
Arwas, Vardi, DC [Scientific Reports 2015]
Monodromy, Chaos, and Metastability of superflow
The swap transition
M = (n1−n2)/2, constant of motion.
n = (n1+n2)/2, conjugate phase ϕ.
Section energy E = E[SP]
Section coordinates (ϕ, n)
Regular separatrix E = Ex(M)
Arwas, DC [PRA 2019]
Quasistatic transfer protocols for atomtronic superfluid circuits
In the rotating reference frame we have a Coriolis force,
which is like magnetic field B = 2mΩ.
which implies an effective flux Φ = area× B
#0
#0
#1
#1
#2#2
Φ < Φmts mtsΦ > Φ
ε ε
n = 12
(n1+n2) = depletion coordinate
M = 12
(n1−n2) = population imbalance
Winsten, DC [arXiv 2020]
Semiclassical simulation of a sweep process
n = (n1+n2)/2 = depletion (color-coded)
M = (n1−n2)/2 = population imbalance
Thresholds: (Φmts,Φstb,Φdyn,Φswp)
Faster sweep
As expected - larger spreading
Slower sweep
Implications on irreversibility and dissipation?
Phase space structure
Dynamic in Phase space
For slow sweep, the central piece of the cloud follows the SP,
and the wings of the cloud spread into the chaotic region.
Efficiency of the sweep process
Optimal rate that maximizes the transfer efficiency
Irreversibility for a quasi-static protocol
H[Q,P ;x(t)]
The Ott-Wilkinson-Kubo picture:
δE2 ∼ 2DE t (diffusion)
DE ∝ x2
E ∝ x2 (dissipation) x(t) = piston position
• Chaos - motion of particles (Q,P ) inside the box is chaotic
• Quasi static limit - the piston position (x) is varied very slowly
The standard dogma: Irreversibility requires chaos and non-adiabaticity.
But in fact: irreversibility can be observed also for a quasi-static driving of a non-chaotic system.