REVIEW 4 major objections 4 minor 1 cited by
Bound on efficiency of heat engine from uncertainty relation viewpoint
T0 review · 4 major / 4 minor · reviewed 2026-08-14 · deepseek-v4-flash
Pith's one-line read The paper derives upper and lower bounds on a quantum Stirling engine's efficiency directly from the position-momentum uncertainty relation.
desk verdict The efficiency bounds are not derived from uncertainty: Eq. (17) is a fitted reparameterization, and D and E just rescale the bath temperatures. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The load-bearing object is the approximate identity Eq. (17), $Z=\frac{L\sqrt{2}}{\hbar\sqrt{\pi}}(\Delta X_T+\Delta P_T+C_T)$, which converts the partition function of the trapped particle into a linear function of the thermal sum uncertainty, with $C_T$ a temperature-dependent constant obtained by expanding Eq. (10) and dropping higher-order terms in $\alpha\beta$. This identity lets the paper rewrite the partition functions at each stage of the Stirling cycle as uncertainty expressions, and the resulting $D$ and $E$ coefficients carry those expressions into the efficiency formula. Supporting it are the sum-uncertainty bounds: the lower bound on $\Delta X^2+\Delta P^2$ for incompatible observables and the reverse-uncertainty upper bound derived from an inequality relating the sum of uncertainties to the uncertainty of the difference. The Stirling cycle enters through the standard four-stage analysis of isothermal barrier insertion, isochoric cooling, isothermal removal, and isochoric heating, whose work and efficiency are re-expressed in terms of $D$ and $E$.
What would settle it
Compute the exact partition function $Z=\sum_n e^{-\beta E_n}$ and the exact sum uncertainty $\Delta X_T+\Delta P_T$ at $T_1=320$ K and $T_2=80$ K for $L$ from 1 to 5 nm, then test whether Eq. (17) holds; if the relative error is not small, the efficiency bounds in Eq. (30) do not hold as stated.
Extended reading notes
Core claim
The central claim is Eq. (30): for a quantum Stirling engine whose working substance is a particle of mass $m$ in a box of width $2L$ coupled to hot and cold baths at temperatures $T_1$ and $T_2$, the efficiency is $$\eta = \frac{D\ln(Z_B/Z_A)+E\ln(Z_D/Z_C)}{D(\ln(Z_B/Z_A)+1/2)-E/2},$$ where $D=\frac{8L^2}{\pi^3\hbar^2}(\Delta X_{T_1}+\Delta P_{T_1}+C_{T_1})^2$ and $E$ is the same combination evaluated at $T_2$. Because $D$ and $E$ are built solely from the thermal position-momentum sum uncertainty plus a temperature-dependent constant, the paper takes this to show that the efficiency bounds are governed by the uncertainty relation. The paper also reports that the upper bound so obtained stays consistent with the Carnot bound $1-T_2/T_1$, and that the lower bound decreases as uncertainty grows, saturating at large uncertainty.
Load-bearing premise
The argument leans on Eq. (17)'s truncated expansion: if the discarded higher-order terms are not negligible for the stated temperatures and box lengths, then D and E are not faithful measures of the bath temperatures and the efficiency bounds lose thermodynamic meaning.
Editorial extensions
If this is right
- Efficiency bounds for the quantum Stirling engine can be stated using $\Delta X_T+\Delta P_T+C_T$, so the cycle can be analysed without projective measurements or multiple state copies.
- The upper bound follows the Carnot limit $1-T_2/T_1$, so the uncertainty formulation reproduces the second-law ceiling for this model.
- The lower efficiency bound decreases as sum uncertainty increases and saturates at large uncertainty, making the conversion ratio a function of the working medium's quantum spread.
- Helmholtz free energy and entropy are written as functions of the uncertainty terms, giving an uncertainty-based route into the rest of the engine's thermodynamics.
Reading between the lines
- A natural next test, not given in the paper, is to check whether the same uncertainty-based bounds survive when the potential is finite or anharmonic; if they do, the method would generalize beyond particle-in-a-box.
- The paper's entropy-uncertainty link suggests that entanglement estimates could be read off from measured sum uncertainty for any exactly solvable model, but the paper only raises this as an open direction.
- Treating $C_T$ as a fitting parameter rather than a computed constant would turn Eq. (17) into an empirical relation, allowing experiment to decide how much of the efficiency bound is genuinely uncertainty-driven.
Signed reviews
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript attempts to connect the thermal sum uncertainty relation of position and momentum for a particle in a one-dimensional infinite potential well to thermodynamic quantities, and claims to derive upper and lower bounds on the efficiency of a quantum Stirling engine from that uncertainty relation. The central construction is Eq. (17), which expresses the partition function Z in terms of (ΔX_T + ΔP_T + C_T), and Eqs. (29)-(30), which express work and efficiency through constants D and E built from the same uncertainty sum. The paper asserts that the resulting efficiency bounds are consistent with the Carnot bound and that this establishes a direct link between quantum uncertainty and thermodynamic performance.
Significance. The question addressed is meaningful: if a genuine two-sided connection between uncertainty relations and heat-engine efficiency existed, it would provide a fundamental quantum constraint on thermodynamic cycles and could be of broad interest. The paper also contains explicit analytic expressions for thermal variances in a box, which are useful intermediate results. However, the central bridge is not a derived consequence of an uncertainty relation but an identity constructed by defining C_T; consequently, the claimed uncertainty-based bounds reduce to a relabeling of the bath temperatures under the exact form of Eq. (17), or lose thermodynamic meaning if the truncation is not exact. As presented, the central claim is therefore unsupported, and the manuscript does not establish a new uncertainty-relation constraint on efficiency.
major comments (4)
- [IV, Eq. (17)] The bridge Z = π n̄/2 = L√2/(ℏ√π)(ΔX_T + ΔP_T + C_T) is not a theorem but an identity by construction: C_T is defined by expanding Eq. (10) and discarding higher-order terms, with no error estimate. If the discarded terms are not negligible for the stated T1=320 K, T2=80 K and L in the nanometer range, then D and E in Eq. (30) are not proportional to the bath temperatures and the efficiency expression has no thermodynamic meaning. If the equality were exact, D and E would simply be rescaled values of Z^2 ∝ k_B T, and Eq. (30) would reproduce the standard Stirling efficiency with temperatures relabeled, so the uncertainty relation would impose no independent constraint. Either way, the central claim that the uncertainty relation determines the efficiency bounds is not supported.
- [II, Eq. (10) and IV, Eq. (17)] Equation (10) adds ΔX_T, which has dimensions of length, and ΔP_T, which has dimensions of momentum; no unit convention (for example ℏ=m=1) is stated that makes this addition meaningful. The constant C_T is also a length, so the right-hand side of Eq. (17) has dimensions of (length)^2/(ℏ), which is not the dimensionless partition function. The same dimensional problem propagates into D and E in Eq. (30), and into the work expression in Eq. (29), where with Eq. (17) the prefactor 8L^2α/(ℏ^2π^2)=1/m leaves W with dimensions of inverse mass unless unstated units are assumed.
- [III, Eqs. (13)-(15)] The upper bound is misapplied. For the symmetric box eigenstates, Cov(X,P)=(1/2)⟨XP+PX⟩−⟨X⟩⟨P⟩=0, so the denominator in Eq. (14) is 1 and the Dunkl–Williams inequality reduces to the trivial statement (ΔX−ΔP)^2 ≥ 0. The right-hand side of Eq. (15), L^2/3 − 2L^2/(nπ)^2 + π^2ℏ^2n^2/(4L^2), is exactly ΔX^2+ΔP^2, the quantity under bound, and it does not follow from Eq. (14). Thus the claimed upper bound on the sum of variances is not an independent uncertainty-relation constraint.
- [V, Eq. (30) and Fig. 6] The paper claims upper and lower bounds on efficiency from the uncertainty relation, but no procedure is given for converting Eq. (30) into bounds. D and E are determined by the temperatures and the box length, not by an uncertainty inequality, and the bounds on ΔX^2+ΔP^2 developed in Section III do not translate into two-sided bounds on (ΔX_T+ΔP_T+C_T)^2 that would bound the efficiency. Figure 6 plots two curves labeled 'upper bound' and 'lower bound' without specifying which parameter choices or which uncertainty bounds produce them, so the main claim of the paper is not demonstrated.
minor comments (4)
- [II, Eqs. (4), (7)-(10)] Notation is inconsistent: the paper uses ΔxΔp, (ΔX)_T, ΔX_T, and ΔP_T without clearly distinguishing the standard deviation from the variance; clarifying this would improve readability.
- [Figs. 1 and 2] The axis labels say 'Sum uncertainty (X2 + P2)', but the plotted quantity is ΔX_T + ΔP_T, not ΔX^2 + ΔP^2; the labels should be corrected.
- [V, Eq. (30)] The first displayed expression for efficiency uses terms such as n̄^2 T2 ln(ZD/ZC), while the final expression uses D ln(ZB/ZA) + E ln(ZD/ZC); the relation between these forms, especially the placement of T1 and T2 in numerator and denominator, is not explained and appears to contain a typographical error.
- [IV, Eq. (19)] The entropy expression contains the auxiliary quantities ν and γ whose definitions are dense and not derived; a short derivation or a reference would help the reader verify the result.
Circularity Check
Eq. (17) constructs an ad hoc bridge; D and E simply rename n̄², so the uncertainty relation does not determine the efficiency bounds.
-
fitted input called prediction
[Section IV, Eq. (17)]
"Z = π¯n/2 = L√2/(ℏ√π)(∆XT + ∆PT +CT), where CT =−L/3 + 2L/π^{5/2}√(αβT) [αβT −√π(αβT)^{3/2} −1] is a constant for a specific temperature, which is derived by expanding Equation 10, and neglecting the higher order terms as the products of α and β are small."
This is the only bridge between the thermodynamic object Z and the uncertainty combination. C_T is constructed by expansion and truncation so that the bracket equals Z up to discarded terms; it is not derived from the uncertainty principle. Inserting Eq. (17) into the later definitions gives D = n̄²_T1 and E = n̄²_T2 exactly. Thus the claimed uncertainty-based prediction inherits a fitted identity rather than an independent constraint. The paper itself defers the required error control: 'Computing the error margins would help us understand this behavior better, which we intend to do in a future paper.'
-
renaming known result
[Section V, Eq. (30) and the definitions of D and E]
"η = [D ln(ZB/ZA)+E ln(ZD/ZC)]/[−E/2 +D(ln(ZB/ZA)+1/2)], where D = 8L2/π3ℏ2 (∆XT1 + ∆PT1 + CT1)2 and E = 8L2/π3ℏ2 (∆XT2 + ∆PT2 +CT2)2."
By Eq. (17), (∆X_T+∆P_T+C_T) = ℏπ^{3/2} n̄/(2√2 L), so D = n̄²_T1 and E = n̄²_T2. The line immediately preceding Eq. (30) already gives the same efficiency in terms of n̄² at the two temperatures. Hence Eq. (30) is the standard partition-function Stirling efficiency with n̄² relabeled as an 'uncertainty combination'; the uncertainty relation adds no independent bound. The plotted upper and lower efficiency curves are therefore the familiar thermodynamic formula plotted against a rescaled variable.
full rationale
The central claim of the paper is that the uncertainty relation determines upper and lower bounds on the efficiency of the heat engine. The chain of derivation rests entirely on Eq. (17), where Z is equated to a combination of thermal position and momentum uncertainties plus an expressly constructed constant C_T. Because C_T is defined so that the equality holds after expanding Eq. (10) and dropping higher-order terms, Eq. (17) is a fitted bridge rather than a consequence of the uncertainty principle. Once that bridge is accepted, D and E in Eq. (30) reduce exactly to n̄² at T1 and T2, so the efficiency formula is identical to the conventional partition-function result that appears one line earlier in the paper. The uncertainty relation therefore does no independent work; the 'bounds from uncertainty' are a renaming of the known Stirling-engine efficiency. No load-bearing self-citation or uniqueness argument is involved, and the issue is not a question of scientific consensus but of a constructed identity whose error is unquantified and explicitly deferred. This is partial-to-strong circularity: the prediction reduces by construction to the input thermodynamic formula, yielding a score of 8.
Assumptions & free parameters
free parameters (1)
- C_T =
temperature-dependent expression from expansion of Eq. (10)
assumptions (4)
- standard math One-dimensional infinite potential well eigenstates and energies, including the Delta x Delta p relation in Eq. (4).
- domain assumption Partition function can be replaced by the Gaussian integral Z approximately (1/2) sqrt(pi/(beta alpha)) because beta alpha is small.
- domain assumption The Stirling cycle with barrier insertion and removal is modeled by partition-function ratios Z_B = 2 sum e^{-beta E_{2n}} and Z_C similarly, following Ref. [67].
- standard math The Dunkl-Williams inequality (Eq. (13)) can be squared and applied to give an upper bound on DeltaX^2 + DeltaP^2.
Cite this review
Pith. "Pith review of Bound on efficiency of heat engine from uncertainty relation viewpoint." pith.science (2026). https://pith.science/paper/DXEG2VDS
@misc{pith2026190806804,
author = {Pith},
title = {Pith review of: Bound on efficiency of heat engine from uncertainty relation viewpoint},
year = {2026},
howpublished = {\url{https://pith.science/paper/DXEG2VDS}},
note = {Machine review of arXiv:1908.06804}
}
read the original abstract
Quantum cycles in established heat engines can be modeled with various quantum systems as working substances. For example, a heat engine can be modeled with an infinite potential well as the working substance to determine the efficiency and work done. However, in this method, the relationship between the quantum observables and the physically measurable parameters i.e., the efficiency and work done is not well understood from the quantum mechanics approach. A detailed analysis is needed to link the thermodynamic variables (on which the efficiency and work done depends) with the uncertainty principle for better understanding. Here, we present the connection of the sum uncertainty relation of position and momentum operators with thermodynamic variables in the quantum heat engine model. We are able to determine the upper and lower bounds on the efficiency of the heat engine through the uncertainty relation.
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Forward citations
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Reference graph
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