2022
DOI: 10.1103/physrevlett.129.270601
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Minimally Dissipative Information Erasure in a Quantum Dot via Thermodynamic Length

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Cited by 13 publications
(5 citation statements)
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“…In that case the Hamiltonian is given by H(ϵ) = 1 2 ϵσ z with a single control variable λ t = ϵ(t) given by the energy gap of the two-level system. The optimal finite-time thermodynamics of such systems has been well studied with regard to minimising average dissipation in Landauer erasure [38,[45][46][47][48][49], including a recent experimental implementation in a driven single dot [50], as well as maximising average power and efficiency in heat engines [26,51]. More recent numerical approaches have also been used to find optimal protocols that take into account the minimisation of work fluctuations [6,52].…”
Section: Fast Erasure Of a Single Bitmentioning
confidence: 99%
“…In that case the Hamiltonian is given by H(ϵ) = 1 2 ϵσ z with a single control variable λ t = ϵ(t) given by the energy gap of the two-level system. The optimal finite-time thermodynamics of such systems has been well studied with regard to minimising average dissipation in Landauer erasure [38,[45][46][47][48][49], including a recent experimental implementation in a driven single dot [50], as well as maximising average power and efficiency in heat engines [26,51]. More recent numerical approaches have also been used to find optimal protocols that take into account the minimisation of work fluctuations [6,52].…”
Section: Fast Erasure Of a Single Bitmentioning
confidence: 99%
“…Thus, any attempt to optimize a given process with respect to its driving protocols generically leads to a complicated dynamical control problem. For systems that are weakly coupled to a thermal environment and driven slowly, relative to their internal relaxation timescale, thermodynamic geometry provides an elegant method to simplify such problems [3][4][5][6][7][8][9][10][11][12][13][14][15]. The key idea of this approach is to solve the equations of motion of the working system, by means of adiabatic perturbation theory [8,16].…”
Section: Introductionmentioning
confidence: 99%
“…Principle. Optimal retrieval maps maximise the determinant of ΦO Φ under the constraints (1)(2)(3)(4).…”
Section: C2 the Max-det Principlementioning
confidence: 99%
“…The last two panels show the entropy production rate for a fast and a slow realisation of the protocol. The solid lines are the theory prediction, while the dotted lines corresponds to actual experimental data from[3]. As it is apparent, the geodesic drive tends to a more uniform distribution of the entropy production.…”
mentioning
confidence: 95%
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