Publisher’s Note: Guaranteed Energy-Efficient Bit Reset in Finite Time [Phys. Rev. Lett.<b>113</b>, 100603 (2014)]

Browne, Cormac; Garner, Andrew J. P.; Dahlsten, Oscar; Vedral, Vlatko

doi:10.1103/physrevlett.113.169901

Cited by 9 publications

(17 citation statements)

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“…This opens new avenues for examining HBAC in terms of QT. For instance, resources required for reaching the cooling limit have been extensively investigated in QT [5,[7][8][9][10][11]. It is interesting to map the required resources and their scaling to HBAC.…”

Section: Noise Sensitivity Sensitive Robustmentioning

confidence: 99%

“…Similar settings has been investigated in the context of Quantum Thermodynamics(QT) and dynamic cooling [4][5][6][7][8][9]. The cooling limit, the corresponding resource theories and generalizations of the third law of thermodynamic are among topics that have attracted a lot of attention in QT [5,[7][8][9][10][11]. It turns out that some of these results, like the existence of a cooling limit, apply to HBAC too.…”

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confidence: 99%

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Novel Technique for Robust Optimal Algorithmic Cooling

2019

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Heat-bath algorithmic cooling (HBAC) provides algorithmic ways to improve the purity of quantum states. These techniques are complex iterative processes that change from each iteration to the next and this poses a significant challenge to implementing these algorithms. Here, we introduce a new technique that on a fundamental level, shows that it is possible to do algorithmic cooling and even reach the cooling limit without any knowledge of the state and using only a single fixed operation, and on a practical level, presents a more feasible and robust alternative for implementing HBAC. We also show that our new technique converges to the asymptotic state of HBAC and that the cooling algorithm can be efficiently implemented; however, the saturation could require exponentially many iterations and remains impractical. This brings HBAC to the realm of feasibility and makes it a viable option for realistic application in quantum technologies.

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Section: Noise Sensitivity Sensitive Robustmentioning

confidence: 99%

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confidence: 99%

Novel Technique for Robust Optimal Algorithmic Cooling

2019

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“…The optimality of resetting or erasing a single bit in finite time is well understood [42][43][44]. In many-body context, cells constitute information engines that perform measurements and computations to process energy in a highly stochastic environment [45][46][47][48][49].…”

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confidence: 99%

Maxwell’s Demons with Finite Size and Response Time

Rupprecht

Vural

2019

Phys. Rev. Lett.

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Nearly all theoretical analyses of the Maxwell's demon focus on its energetic and entropic costs of operation. Here, we focus on its rate of operation. In our model, a demon's rate limitation stems from its finite response time and gate area. We determine the rate limits of mass and energy transfer, as well as entropic reduction for four such demons: Those that select particles according to (1) direction, (2) energy, (3) number and (4) entropy. Lastly, we determine the optimal gate size for a demon with small, finite response time, and compare our predictions with molecular dynamics simulations with both ideal and non-ideal gasses. Lastly, we study the conditions under which the demons are able to move both energy and particles in the chosen direction when attempting to only move one. arXiv:1903.05724v4 [cond-mat.stat-mech]

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“…It is very interesting to test time-dependence patterns of this kind of physics using variable control parameters, and work in this direction is going on intensively from both theoretical and experimental side [63,64,65,66,67,68,69,70,71,72,73]. Of special interest is application of these ideas to complex information processing systems and living objects, from cells to humans.…”

Section: Discussionmentioning

confidence: 99%

Finite time measurements by Unruh–DeWitt detector and Landauer’s principle

Shevchenko

2017

Annals of Physics

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The model of Unruh-DeWitt detector coupled to the scalar field for finite time is studied. A systematic way of computing finite time corrections in various cases is suggested and nonperturbative effects like thermalization are discussed. It is shown in particular that adiabatic switching off the coupling between the detector and the thermal bath leaves non-vanishing corrections to the detector's levels distribution. Considering the two level detector as an information bearing degree of freedom encoding one bit of information, limits on external work for the detector's (de)couling in finite time following from the Landauer's bound are formulated.1 In abelian vector field theory, for example, instead of integration over vector field DA µ one can equivalently integrate over tensor fields with the Bianchi identities constraint DF µν δ(∂F ). The standard F 2 -action contains derivatives and describes propagation for the former measure but is trivial Gaussian local one with the latter measure. 1 QED. Renormalizability, however, does not mean naturalness. Computing, for example, average of some local d-dimensional operator T [φ] in a theory with UV cutoff Λ, one gets typically (up to, perhaps, logarithms):The first term characterizes ad hoc assumptions about the integration measure/detector (for example, geometry of the lattice with the link size a ∼ 1/Λ used for computation), but not the genuine physics of this operator. Of course in many cases symmetries of the theory guarantee c = 0, but if not, we have to work out a way of disentangling "the physics of the detector" from "the physics of the physics" (which presumably is hidden in the finite part). Notable examples include vacuum energy density, Higgs boson mass and gluon condensate, where only in the latter case the answer is known (qualitatively, but not quantitatively) -quantum scale anomaly of Yang-Mills theory and dimensional transmutation take care of unphysical UV scale Λ to become physical scale Λ QCD . In other cases of this sort, like cosmological constant problem or hierarchy problem a solution is yet to be found. But in most cases in particle physics we assume that dynamics, described by the action is uncorrelated with dynamics of the measure and for good reasons: typical scale of the former is given by strong interaction distance of ∼ 10 −15 meters and even smaller for weak interactions, while detectors are macroscopic objects having sizes of the order of dozens of microns and larger. All the standard perturbative quantum field theory machinery (asymptotic states; propagators computed in plane waves basis etc.) is based on this assumption. Even if the detector dynamics is relevant, like in case of Unruh effect and similar phenomena -one usually tries to disentangle "beautiful" field theoretic part (universal response functions etc) from "ugly" detector part (concrete models of the detector). On the other hand, to what extent it is possible is undoubtedly quantitative question which should be analyzed in each particular problem.The measurement problem has...

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Publisher’s Note: Guaranteed Energy-Efficient Bit Reset in Finite Time [Phys. Rev. Lett.113, 100603 (2014)]

Cited by 9 publications

References 0 publications

Novel Technique for Robust Optimal Algorithmic Cooling

Novel Technique for Robust Optimal Algorithmic Cooling

Maxwell’s Demons with Finite Size and Response Time

Finite time measurements by Unruh–DeWitt detector and Landauer’s principle

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