Single-atom heat machines enabled by energy quantization
David Gelbwaser-Klimovsky, Alexei Bylinskii, Dorian Gangloff, Rajibul, Islam, Al\'an Aspuru-Guzik, Vladan Vuletic

TL;DR
This paper explores how energy quantization in quantum systems can enhance the performance of Otto cycle heat machines, enabling novel operation modes and improved efficiency, with potential experimental verification using trapped ions.
Contribution
It demonstrates that energy quantization alone can significantly alter and improve quantum heat machine performance, including enabling machines with incompressible working fluids.
Findings
Energy quantization can increase power and efficiency of heat machines.
Quantum effects enable novel machine configurations not possible classically.
Proposed experimental setup using laser-cooled trapped ions for validation.
Abstract
Quantization of energy is a quintessential characteristic of quantum systems. Here we analyze its effects on the operation of Otto cycle heat machines and show that energy quantization alone may alter and increase machine performance in terms of output power, efficiency, and even operation mode. Our results demonstrate that quantum thermodynamics enable the realization of classically inconceivable Otto machines, such as those with an incompressible working fluid. We propose to measure these effects experimentally using a laser-cooled trapped ion as a microscopic heat machine.
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Single-atom heat machines enabled by energy quantization
David Gelbwaser-Klimovsky
Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138
Alexei Bylinskii
Department of Physics and Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138
Dorian Gangloff
Cavendish Laboratory, JJ Thomson Ave, Cambridge, UK, CB3 0HE
Department of Physics and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Rajibul Islam
Institute for Quantum Computing and Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
Alán Aspuru-Guzik
Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138
Vladan Vuletic
Department of Physics and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Abstract
Quantization of energy is a quintessential characteristic of quantum systems. Here we analyze its effects on the operation of Otto cycle heat machines and show that energy quantization alone may alter and increase machine performance in terms of output work, efficiency, and even operation mode. We show that this difference in performance occurs in machines with inhomogeneous energy level scaling, while quantum machines with homogeneous level scaling behave like classical machines. Our results demonstrate that quantum thermodynamics enables the realization of classically inconceivable Otto machines, such as those with an incompressible working substance. We propose to measure these effects experimentally using a laser-cooled trapped ion as a microscopic heat machine.
The discrepancy between classical and quantum mechanics, together with the fast progress on the control of open quantum systems such as ion traps Roßnagel et al. (2016); Karpa et al. (2013); Bylinskii et al. (2015); Gangloff et al. (2015); Leibfried et al. (2003), SQUIDS Fornieri et al. (2015); Bylinskii et al. (2016); Bylinskii (2015), quantum dots Sothmann et al. (2014) and molecules Lotze et al. (2012), has ignited efforts to clarify the capabilities and thermodynamic limitations of quantum heat machines Gelbwaser-Klimovsky et al. (2015a); Kosloff (2013); Xiao and Gong (2015); Roulet et al. (2017) under quantum effects such as coherences Uzdin et al. (2015); Scully et al. (2011); Gelbwaser-Klimovsky et al. (2015b), quantum correlations Correa et al. (2013); Perarnau-Llobet et al. (2015), quantum statistics of particles Zheng and Poletti (2015), squeezed thermal baths Roßnagel et al. (2014); Niedenzu et al. (2016); Manzano et al. (2016), many-body effects Jaramillo et al. (2016), and quantized work reservoirs Levy et al. (2016); Linden et al. (2010); Gelbwaser-Klimovsky and Kurizki (2014). Although these effects may offer classically inaccessible capabilities for machines, there has been no clear evidence that adiabatic quantum machines can outperform their classical counterparts once all non-equilibrium effects Alicki and Gelbwaser-Klimovsky (2015) and preparation costs are considered Zheng et al. (2016); Torrontegui et al. (2017). Among the thermal machines, one of the most studied is the Otto machine Zheng and Poletti (2014); Quan et al. (2007). For this machine, most of the analyses have been limited to potential deformations that homogeneously scale all the energy levels. In this regime, a quantum and a classical heat machine have the same efficiency Quan et al. (2007). The few analyses that consider an inhomogeneous energy scaling Uzdin and Kosloff (2014); Quan et al. (2005), have not show a clear advantage of a quantum heat machine over its classical counterpart.
In this Letter, we compare the performance of two identical heat machines based on trapped particles (working substance): one governed by classical mechanics and the other by quantum mechanics. We show that the discreteness of energy levels due to quantization, can increase the efficiency of a heat machine provided that the potential deformation creates an inhomogeneous shift of energy levels. We show that energy quantization can then: i) improve work extraction, cooling or efficiency relative to the classical counterpart, even reaching the Carnot bound; ii) change the operation mode, e.g., a heat machine classically expected to operate as a refrigerator, may operate as an engine once energy quantization is considered; iii) enable operation at Carnot efficiency even in regimes where classically neither work extraction nor refrigeration are expected. The origin of the quantum enhanced performance can be traced to the change in relation between temperature and population distribution for adiabatic potential transformations with inhomogeneous energy level shifts. We emphasize that this analysis relies only on energy quantization and constant level populations in adiabatic potential transformations, and that it does not make use of any hidden resources like non-equilibrium or entangled baths Alicki and Gelbwaser-Klimovsky (2015).
Our results rely on the sensitivity of quantized energies to the boundaries, which classical systems are insensitive to. We illustrate this with an example of an Otto engine operated with an ideal gas contained in a one-dimensional (1D) infinite well potential (see Fig. 1A). The adiabatic introduction of a function barrier at the center does not alter the volume nor the classical energy, but by affecting the quantum wavefunctions, changes the energies of select quantum states. We show that this difference can result in superior performance of quantum heat engines.
Operated as a heat engine, an Otto machine (see Fig.1B and SI) transforms incoming heat from the hot bath, , into extracted work, , with efficiency . It consists of two adiabatic processes where the engine is decoupled from thermal baths, and two isochoric (constant volume) processes where the engine is coupled to two thermal baths at temperatures , . Note that the efficiency of the Otto engine is not affected by the fact that the isochoric strokes are irreversible (see SI-VII and Leff and Jones (1975); Mukhopadhyay and Bhattacharyya (2009)). Operated as a refrigerator it consumes work, , in order to cool down the cold bath by extracting heat from it, , with efficiency . We term heater the case where the heat flows in its “natural” direction from hot to cold, and , while no work is extracted, .
For a classical ideal gas in a uniform potential the compression ratio defines the operation mode of the Otto cycle ( is the container volume when the ideal gas is at equilibrium with the cold (hot) bath): i) for the machine is a heater; ii) for it is an engine; iii) for it operates as a refrigerator. If run like an engine, the classical efficiency is
[TABLE]
where is the specific heat ratio and is the Carnot efficiency limit for an engine. For an incompressible gas, and . Classically, a compressible working substance is needed for work extraction, as it has been shown for classical rubber engines Farris (1979); Mullen et al. (1975) and classical continuum media Paolucci (2016); Gurtin et al. (2010). We show below that these paradigms break down once energy quantization is included in the analysis.
We first show that if the adiabatic potential deformation during the Otto cycle (from to and vice versa) is such that the energy levels scale as , where is a positive constant independent of (homogeneous scaling), then the classical and quantum heat machines always operate in the same mode with the same efficiency. Examples of this type of deformation are the frequency change of a 1D harmonic trap or the change of length of a 1D infinite square well potential. Under this assumption, the work (see SI-I) is
[TABLE]
where is the heat capacity when the potential is , and is the expected value in the thermal Boltzmann distribution at temperature . Similarly, the expressions for the heat transfers are: and These expressions can also be derived from a completely classical treatment Greiner et al. (2012), where is then the classical heat capacity. Efficiencies, being the ratio between work and heat, do not depend on the heat capacity for homogeneous energy scaling and under this condition are the same for classical and for quantum heat machines. However, the efficiency and even the operation mode can change when adiabatic potential deformations result in inhomogeneously scaled eigenenergies, .
To illustrate this, consider the Otto cycle shown in Fig. 1B where the potential is a 1D infinite well with variable length , with a thin barrier of width that can be adiabatically turned up to a height at the center of the well. Here the energy of a classical particle in thermal equilibrium at temperature is In the limit of an infinitesimally thin barrier but constant , the barrier becomes a function, the energy becomes independent of the barrier, and the classical work output, cooling, and efficiency correspond to the classical Otto cycle with , where is the well length at equilibrium with the cold (hot) bath.
By contrast, under quantum treatment, the even and odd eigenenergies are modified differently by introducing the delta barrier, (see Fig. 1A) Belloni and Robinett (2014). Odd wavefunctions () remain unperturbed, , but for even wavefunctions (). In this case, the compression ratio remains and the classical efficiency is zero, while the quantum engine performs nearly at Carnot efficiency for a high repulsive barrier (see Fig. 2A). Measuring the work extraction during this potential deformation, or other transformation that do not change the “bulk” properties of the working substance, could be used to determine if the working substance is governed by classical or quantum laws.
Fig. 2B shows that, as one decreases the temperature of the baths at fixed temperature ratio, , the system transitions from a classical regime, where many quantum states are populated, to a quantum regime with higher efficiency. In the limit of low temperature, where only the two lowest energy levels are appreciably populated, the work extraction condition and efficiency can be written as (see SI-II)
[TABLE]
where and are the energy gaps between excited and ground state when the system is in thermal contact with the hot and cold bath, respectively, and is the gap shift produced by the barrier. Eq. 3 shows that the quantum Otto engine may extract work, at Carnot efficiency, for (fixed volume) or any other value of (see dotted green line in Fig. 2A). Large even enhances the efficiency at , effectively turning a classical heater into an engine. Negative reduces the efficiency for , but turns a classically expected refrigerator into a highly efficient quantum engine for . Carnot efficient quantum engines for any compression ratio can be achieved beyond the two-level approximation. This requires extra control parameters, such as additional barriers, that will ensure that all the energy levels have the appropriate values. In the same way, could be optimized for reaching maximum work extraction at any compression ratio or for producing maximum heat extraction, , or refrigeration efficiency .
The effects of quantization-induced work enhancement and operation mode change can be experimentally tested. To tune a given machine from classical to quantum, one can increase the potentials and temperatures by the same multiplicative factor, . This effectively decreases the quantization scale relative to the bath temperature and as we show in SI-IV this scaling is equivalent to reducing to zero as (see Fig. 3C).
As a potential experimental platform we consider a trapped, laser-cooled ion in the combined electrostatic harmonic potential of a Paul ion trap and a sinusoidal potential of an optical lattice Karpa et al. (2013); Bylinskii et al. (2015); Gangloff et al. (2015). This potential can be used to mimic the infinite well with and without the barrier. The potential has the form
[TABLE]
where is the dimensionless parameter controlling the shape of the potential (see Fig. 3A), given by the squared ratio of lattice vibrational frequency to the harmonic trap vibrational frequency . Here is the depth of the lattice potential. For , the potential is a single well while for , the potential is a double-well, or, equivalently, a single well with a barrier in the middle. The parameter can be tuned by tuning (via laser power) and/or the vibrational frequency of the harmonic potential (by applying voltage to the Paul trap electrodes). In Fig. 3B we show computational results based on discrete variable representation (DVR) calculations Colbert and Miller (1992) for the work extraction and efficiency of the classical and quantum versions of the Otto cycle shown in Fig. 1B, but implemented with the ion-trap potential (Eq. (4)) by adiabatically tuning and in order to generate a double-well and flat-bottom potential. As shown by the marked “X”, there are parameters for which a classical heater operates as a quantum engine once energy quantization is considered. Fig. 3C shows the DVR results as function of for the parameters of the point “X” on Fig. 3B. The sign of work flips from positive (work injection) to negative (work extraction) when going from the classical to the quantum limit. Thus, the turning of a heater into an engine by energy quantization is directly observable in a realistic experimental setup.
During the isochoric strokes the ion is continuously laser-cooled; at steady-state its temperature is fixed at a stable point where the laser cooling rate balances the heating rate by the environment. The occupation of energy levels then approximately follows a thermal distribution and the system can be considered to be in contact with a thermal bath An et al. (2015); Meekhof et al. (1996). Contact to a cold thermal bath is achieved by optimizing laser cooling parameters to reduce the steady-state temperature of the ion, whereas contact to a hot thermal bath is achieved by choosing sub-optimal cooling parameters. Raman sideband cooling of 174Yb in an MHz lattice has been shown to reach near ground-state occupation , and the temperature has been increased controllably by up to a factor of 10 Karpa et al. (2013); Bylinskii et al. (2015); Gangloff et al. (2015). This range could be further increased by reducing external heating sources, and using a narrow optical transition to precisely measure the motional quantum state populations and ion temperature Johnson et al. (2015). The total energy stored in the system at different times can thus be measured via resolved vibrational mode spectroscopy to determine the energy eigenspectrum , and populations An et al. (2015). From these measurements, the total work output per cycle can be obtained, and the experiment can be performed in the quantum and classical limits to identify the effects of quantization.
For the adiabatic strokes the laser cooling is disconnected. Perfect adiabaticity has been assumed in the calculation above. In practice, potential deformations during the Otto cycle have to be performed at finite speed, and to avoid excitations that perturb the population distribution, the total adiabatic ramp time must be longer than the inverse of the smallest energy spacing. Yet, the ramp time must be shorter than the thermalization time set by the background heating in the range motional quanta per second Eltony et al. (2016). These two conditions can be fulfilled simultaneously for trap vibration frequencies in the MHz range.
We have shown that a quantum Otto engine can be more efficient than its classical counterpart, but that both are subject to the Carnot limit. This performance difference may be significant since the efficiency of real heat engines Curzon and Ahlborn (1975) is limited by the practical difficulty to reach large compression ratios. Moreover, we have shown that classically well established paradigms no longer hold in the quantum regime, where energy quantization allows engines to operate at Carnot efficiency even for compression ratios , and (fixed volume), which could enable the realization of Otto engines with incompressible working substances. These results still hold for a simple model of finite time or imperfect thermalization during the isochoric strokes (see SI-VI), but more detailed studies are needed to clarify the difference between quantum and classical finite time heat machines.
Since a heat machine operating at given bath temperatures is only characterized by two parameters, the efficiency and the work , it is always possible to construct a classical machine that mimics a quantum machine with the same and , by choosing a different compression ratio, working fluid, potential deformation, etc. However, here we are interested in differentiating performance changes based on the quantum/classical nature of the working substance from those originating from other parameter differences. As we have shown, energy quantization, of purely quantum origin, can give rise to a marked difference in performance.
Energy quantization depends on boundary effects, that generally can be neglected for classical thermodynamic systems, but at the quantum regime allow for work extraction without changing any bulk property of the working substance such as length for a 1D system (or volume for 3D).
Finally, we have shown that for the studied system non-classical results can be only found when energy levels are inhomogeneously scaled. This regime has rarely been analyzed and requires further investigation. Some potential future research paths include the performance of other thermodynamic cycles (i.e., Carnot, Stirling, etc), or the use of a working substance composed of interacting particles or indistinguishable particles (Fermions and Bosons).
Acknowledgements.
D. G.-K. and A. A.-G. acknowledge the support from the Center for Excitonics, an Energy Frontier Research Center funded by the U.S. Department of Energy under award DE-SC0001088 (Energy conversion). V.V. acknowledges support from the NSF (PHY-1505862) and the NSF CUA (PHY-1125846).
Supplementary information
I Otto cycle
The Otto cycle is composed of four strokes that connect different states of the system (A, B, C, D), as follows:
-
At A, the particle of mass is in the confining potential . The Hamiltonian is , where is the momentum operator. The system is at thermal equilibrium with the hot bath at temperature , hence the population of the level is , where is the -level eigenenergy of and . The potential can be parametrized by a generalized volume Sandoval-Figueroa and Romero-Rochín (2008). The system is decoupled from the hot bath and the trap is adiabatically deformed until the potential with generalized volume is obtained at B. The Hamiltonian at B is . Adiabaticity ensures that the level populations do not change, . The change in energy of the system can be attributed purely to work, .
-
Next, the system is coupled to a cold thermal bath at temperature and it reaches thermal equilibrium at C (see SI-VII). Thus, , where is the -level eigenenergy of and . The trapping potential and its volume do not change; the change in energy of the system can be attributed to heat exchange with the cold bath .
-
Next, the system is decoupled from the cold bath and the potential is adiabatically transformed, returning to with volume at D. The level populations do not change, , and all energy exchanged is work, .
-
The system is coupled to the hot bath, ending at thermal equilibrium with it at A, and closing the thermodynamic cycle. The potential is kept constant and the exchanged energy is heat with the hot bath, .
The heat exchanged with the baths is given by the energy difference between the initial and final states of the isochoric strokes (see SI-VII):
[TABLE]
After completing a cycle, the energy of the system returns to its initial value. Therefore, by energy conservation, the net work is
[TABLE]
Positive work or heat implies an energy flow into the system and a negative value signifies an energy flow out of the system. If the potential deformation does not change the expected value of the energies, no work is extracted.
For an homogenous scaling of the energies, , the expression for the work can be rewritten as
[TABLE]
where , , is the heat capacity, and is the expected value in the thermal Boltzmann distribution at temperature .
II Work and efficiency for a two level system
If only the first two levels are populated Eq. (S2) can be simplified to
[TABLE]
where Therefore, the condition for work extraction, , is
[TABLE]
In a similar way, the heat exchanged with the hot bath is
[TABLE]
and the efficiency is
[TABLE]
For the cycle shown in figure 1B in the main text, and , where . Therefore,
[TABLE]
where we have used the fact that . From here the right side of Eq. 3 in the main text is derived.
III Thermodynamic calculations for the classical heat machine
There are multiple alternative methods to calculate the , and for the classical heat machine studied in the main text. All of them give the same results:
Doing the quantum calculation using Eqs. (S1) and (S2), and effectively reducing until the result converges. In the studied cases the convergences was obtained for ; 2. 2.
Considering the same scaling for the potential and temperatures, and and taking the limit ; 3. 3.
In the case of the infinite square well, the barrier does not change the energy at the classical limit, the standard Otto cycle calculation can be used, neglecting the barrier.
IV Experimental simulation of the classical limit
In this section we show that the classical limit of the extracted work, (S2), is equivalent to the work obtained after scaling the potential and the temperature. A similar proof can be used for the heats.
In order to find the classical limit, in the Schrodinger equation is replaced by , where is scaling parameter in the range between and . The Schrodinger equation is
[TABLE]
where the eigenenergies depend on and on . By multiplying both side by
[TABLE]
Therefore, we conclude that,
[TABLE]
The work is a linear combination of terms of the form,
[TABLE]
where and may be the same or different potentials and . Using Eq. (S7) we get
[TABLE]
From this we conclude that
[TABLE]
The classical limit is obtained for large when becomes a constant as function of . Thus, by scaling the potential and the temperature by a large factor, it is possible to experimentally simulate the classical limit, .
The scaling of a potential and the temperature has been achieved in ion traps setups Karpa et al. (2013); Bylinskii et al. (2015); Gangloff et al. (2015); Bylinskii et al. (2016); Bylinskii (2015). Therefore, we consider them as the ideal platform to test the classical and quantum limit of the same heat machine.
V Carnot limit
In this section we prove that the efficiency of the Otto quantum heat machine is bounded by the Carnot limit, . We focus on the heat engine efficiency but the bounds for the performance of a refrigerator can be derived in the same way. The efficiency of a heat engine is
[TABLE]
Work extraction requires and . The expression for the heat and the work are given by Eqs. S1 and S2 on the SI-I. As a first step, assume that the work and heat are produced by a single level,
[TABLE]
Work extraction requires , otherwise, . Therefore, the single level efficiency is bounded,
[TABLE]
Next we consider two levels, and . We prove that the efficiency in the case of two levels can not be greater that the efficiency of a single level and therefore the two level case is also bounded by the Carnot limit. Assume that the efficiency of the two levels is greater than the single level efficiency,
[TABLE]
Work extraction requires , thus or should be positive. Without loss of generality we assume and . Hence, Eq. (S12) can be rewritten as
[TABLE]
Equation (S13) contradicts the assumption . Thus, the inequality on Eq. (S12) does not hold. This can be generalized for a multilevel system. Therefore, the efficiency of a multilevel system can not be greater than the highest single-level efficiency. The latter, and therefore the whole multilevel efficiency, is bounded by the Carnot limit, (see Eq. (S11)).
VI Finite time Otto cycle
We consider a simple model of a finite time Otto cycle where the system does not fully equilibrate with the thermal baths during the isochoric strokes. Instead, we assume that the isochoric strokes are interrupted before equilibration and the system ends in a mixture of the initial state and the thermal state, i.e.,
[TABLE]
where is the initial state of the system at the beginning of the isochoric stroke and is the equilibrium state it would have reached after infinite time. is a constant that represents the degree of thermalization and goes from 0 for a fully equilibrium state, to 1 for a state that did not thermalize at all. For simplicity we assume that the degree of thermalization is symmetric, i.e., it is the same for the two isochoric strokes. The heat transfer from the hot bath is
[TABLE]
where is the heat exchanged if the system fully thermalizes (see Eq. S1). A similar expression is found for Therefore, the work extracted during this cycle is
[TABLE]
but the efficiency, being the ration between and remains the same, and the operation mode of the heat machine does not change. Therefore, if the degree of thermalization is symmetric, the effects shown in the main text do not change. More complex finite time cycles could be considered, but they are out of scope of this paper and are left for future works.
VII Irreversibility of the isochoric process
During the isochoric process the working substance is coupled to a thermal bath which not necessary is close to the working substance temperature which makes the process irreversible. In addition, in the quantum system, the state after the adiabatic step prior to the isochoric process is in general not a thermal state. However, the fact that the isochoric process is irreversible does not change the efficiency of the Otto engine. The efficiency is defined in terms of the work done by the engine, and the heat received by the engine from the hot reservoir Greiner et al. (2012). No work is done during the isochoric process, and therefore the work done is not affected by irreversibility. Furthermore, the heat exchanged during each isochoric process is given by the internal energy difference of the working substance between the beginning and the end of the isochoric process, and is path independent. Therefore the heat exchanged by the engine and the reservoir is also not affected by irreversibility. Consequently the efficiency of the Otto engine is not affected by the irreversibility of the isochoric process. This is also the conclusion reached after Eq. 17 of Ref. Mukhopadhyay and Bhattacharyya (2009). Note that this argument does not hold for other processes where work is exchanged while the system is coupled to a bath.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Roßnagel et al. (2016) J. Roßnagel, S. T. Dawkins, K. N. Tolazzi, O. Abah, E. Lutz, F. Schmidt-Kaler, and K. Singer, Science 352 , 325 (2016).
- 2Karpa et al. (2013) L. Karpa, A. Bylinskii, D. Gangloff, M. Cetina, and V. Vuletić, Phys Rev Lett 111 , 163002 (2013).
- 3Bylinskii et al. (2015) A. Bylinskii, D. Gangloff, and V. Vuletić, Science 348 , 1115 (2015).
- 4Gangloff et al. (2015) D. Gangloff, A. Bylinskii, I. Counts, W. Jhe, and V. Vuletić, Nature Phys 11 , 915 (2015).
- 5Leibfried et al. (2003) D. Leibfried, R. Blatt, C. Monroe, and D. Wineland, Rev Mod Phys 75 , 281 (2003).
- 6Fornieri et al. (2015) A. Fornieri, C. Blanc, R. Bosisio, S. D’Ambrosio, and F. Giazotto, Nature Nanotechnol (2015).
- 7Bylinskii et al. (2016) A. Bylinskii, D. Gangloff, I. Counts, and V. Vuletić, Nat Mater 15 , 717 (2016).
- 8Bylinskii (2015) A. Bylinskii, Ph.D. Thesis, MIT (2015).
