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Universal Characterization of Quantum Vacuum Measurement Engines

Robert Czupryniak, Bibek Bhandari, Paolo Andrea Erdman, Andrew N Jordan

TL;DR

The paper develops a universal geometric framework for quantum vacuum measurement engines by introducing the quantum vacuum bending function $\Delta(\lambda)$, which encodes how the ground-state energy lowers as the coupling is turned on. It shows that all thermodynamic observables, including work, quantum heat, and efficiency, depend only on $\Delta(\lambda)$ and its derivatives, while work fluctuations are set by the curvature $\Delta''(\lambda)$ weighted by an effective energy $\bar{e}(\lambda)$ and bounded by a quantum Fisher information–based uncertainty relation. A nonperturbative, information-geometry perspective is established, linking fluctuations to both the geometry of the ground-state landscape and to quantum metrological bounds. The framework is validated across diverse models—qubits and harmonic oscillators, including many-body systems like the transverse-field Ising model and random-coupling qubit networks—demonstrating that the QVBF geometry governs engine performance irrespective of microscopic details, and offering design principles for efficient, measurement-powered quantum machines.

Abstract

Quantum measurements can inject energy into quantum systems, enabling engines whose operation is powered entirely by measurements. We develop a general theory of quantum vacuum measurement engines by introducing the quantum vacuum bending function (QVBF), a quantity that characterizes the lowering of the ground-state energy due to interactions. We show that all thermodynamic observables, including work and efficiency, are governed solely by the shape of the ground-state energy landscape encoded in the QVBF, regardless of microscopic details. We further demonstrate that work fluctuations are defined by the curvature of QVBF modulated by a model-dependent quantity, and are constrained by a generalized quantum fluctuation relation that involves the interplay between quantum Fisher information and the ground-state energy landscape. Exactly solvable models and numerical simulations of single and many-body systems confirm the theory and illustrate how the QVBF alone determines the performance of quantum vacuum measurement engines.

Universal Characterization of Quantum Vacuum Measurement Engines

TL;DR

The paper develops a universal geometric framework for quantum vacuum measurement engines by introducing the quantum vacuum bending function , which encodes how the ground-state energy lowers as the coupling is turned on. It shows that all thermodynamic observables, including work, quantum heat, and efficiency, depend only on and its derivatives, while work fluctuations are set by the curvature weighted by an effective energy and bounded by a quantum Fisher information–based uncertainty relation. A nonperturbative, information-geometry perspective is established, linking fluctuations to both the geometry of the ground-state landscape and to quantum metrological bounds. The framework is validated across diverse models—qubits and harmonic oscillators, including many-body systems like the transverse-field Ising model and random-coupling qubit networks—demonstrating that the QVBF geometry governs engine performance irrespective of microscopic details, and offering design principles for efficient, measurement-powered quantum machines.

Abstract

Quantum measurements can inject energy into quantum systems, enabling engines whose operation is powered entirely by measurements. We develop a general theory of quantum vacuum measurement engines by introducing the quantum vacuum bending function (QVBF), a quantity that characterizes the lowering of the ground-state energy due to interactions. We show that all thermodynamic observables, including work and efficiency, are governed solely by the shape of the ground-state energy landscape encoded in the QVBF, regardless of microscopic details. We further demonstrate that work fluctuations are defined by the curvature of QVBF modulated by a model-dependent quantity, and are constrained by a generalized quantum fluctuation relation that involves the interplay between quantum Fisher information and the ground-state energy landscape. Exactly solvable models and numerical simulations of single and many-body systems confirm the theory and illustrate how the QVBF alone determines the performance of quantum vacuum measurement engines.
Paper Structure (20 sections, 185 equations, 6 figures, 2 tables)

This paper contains 20 sections, 185 equations, 6 figures, 2 tables.

Figures (6)

  • Figure 1: Schematic of a quantum vacuum measurement engine in a many-body setting. Switching on the parameter $\lambda$ corresponds to activating the coupling between spins. The labels above each square indicate whether the coupling in the Hamiltonian is on ($H(\lambda)$) or off ($H(0)$), followed by the quantum state of the system at that stage of the cycle. The protocol consists of six steps: (i) initialization, (ii) measurement, (iii) rapid switching off of the coupling, (iv) work extraction, (v) rapid switching on of the coupling, and (vi) relaxation.
  • Figure 2: Results for a 10-qubit quantum vacuum measurement engine with randomly chosen couplings, computed using only the quantum vacuum bending function $\Delta(\lambda)$. Top panel: the $\Delta(\lambda)$ and its first and second derivatives. Bottom panel: work $W$ and its fluctuations $\sigma$ with the corresponding values given on the left y-axis, efficiency $\eta$ with its corresponding values given on the right y-axis. $\Delta(\lambda)$, its derivatives, $W(\lambda)$, and $\sigma(\lambda)$ are plotted in units of the qubit energy gap $\varepsilon_q$. The coupling values used to generate the data are provided in the Supplementary Material SM.
  • Figure 3: Comparison of five types of measurement engines described in Tab. \ref{['tab:descriptions']}: single qubit, coupled qubits, single harmonic oscillator, coupled harmonic oscillators, and a $10$-qubit engine with randomly selected couplings. The red curves correspond to the $10$-qubit results shown in Fig. \ref{['fig:multiple_engines']}. Panel (a) shows the entanglement gap $\Delta(\lambda)$; the inset displays the same quantity over a smaller range of $\lambda$. Panel (b) presents the extracted work, with the inset restricted to qubit-based engines. Panel (c) shows the work fluctuations, and panel (d) displays the engine efficiency. The energy unit $\omega$ denotes the qubit energy gap for qubit-based engines and the level spacing for oscillator-based engines.
  • Figure 4: Results describing $N=2$ coupled qubits. (a) QVBF and its derivatives. (b) Work (solid lines) and fluctuations (dotted lines) evaluated from $\sqrt{\sigma^2}$. The grey dashed line corresponds to the asymptotic limit given in Eq. \ref{['eq:W_2qubits_asymptote']} (c) Quantum heat. (d) Efficiency. Panels (a), (b) and (c) are plotted in the units of qubit energy gap $\varepsilon_q$.
  • Figure 5: Results for $\Delta, W, \eta$ as a function of $\lambda$, all computed with knowledge of $\Delta(\lambda)$ only.
  • ...and 1 more figures