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Quantum Phase Thermometry Beyond Energy: A Framework for Independent Phase Temperature

Jincheng Zhang

Published Aug 11, 2026• 0 citations
Publisher

Abstract

Thermometry in quantum mechanics has traditionally been anchored to the statistics of energy distributions, encapsulated by the Boltzmann factor where the probability of occupying an energy state E is proportional to exp(-E / (k_B T_E)). While effective in near-equilibrium regimes, this energy-centric paradigm falls short in strongly correlated systems, topological phases, and nonequilibrium steady states where energy fluctuations alone fail to capture the complete thermodynamic state. In this paper, we introduce Quantum Phase Thermometry Beyond Energy (QPTE), establishing an independent thermodynamic variable known as phase temperature, denoted as T_phi. Defined through the quantum phase fluctuations and the expectation value of the squared phase velocity operator as T_phi = (hbar * <\dot{\phi}^2>) / k_B, this framework transcends conventional energy measurements. We present a rigorous theoretical foundation showing that quantum phase fluctuations define an effective thermal scale distinct from traditional energy temperature. We explore the profound physical implications of the thermal discrepancy where T_phi not equal to T_E, demonstrating how QPTE expands the conceptual boundaries of statistical mechanics and fundamental thermodynamics.

DOI
10.5281/zenodo.21888550

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Thermometry in quantum mechanics has traditionally been anchored to the statistics of energy distributions, encapsulated by the Boltzmann factor where the probability of occupying an energy state E is proportional to exp(-E / (k_B T_E)). While effective in near-equilibrium regimes, this energy-centric paradigm falls short in strongly correlated systems, topological phases, and nonequilibrium steady states where energy fluctuations alone fail to capture the complete thermodynamic state. In this paper, we introduce Quantum Phase Thermometry Beyond Energy (QPTE), establishing an independent thermodynamic variable known as phase temperature, denoted as T_phi. Defined through the quantum phase fluctuations and the expectation value of the squared phase velocity operator as T_phi = (hbar * <\dot{\phi}^2>) / k_B, this framework transcends conventional energy measurements. We present a rigorous theoretical foundation showing that quantum phase fluctuations define an effective thermal scale distinct from traditional energy temperature. We explore the profound physical implications of the thermal discrepancy where T_phi not equal to T_E, demonstrating how QPTE expands the conceptual boundaries of statistical mechanics and fundamental thermodynamics.
In conventional thermodynamics, a macroscopic process is characterized by changes in thermodynamic variables such as temperature, pressure, and entropy. In quantum thermodynamics, the state of a system is described by a density operator ρ, and the entropy of the system is given by the von Neumann entropy S = -k_B Tr(ρ ln ρ). Recent theoretical investigations have suggested that quantum coherence and phase correlations can also be thermodynamically relevant. This paper introduces the concept of Quantum Thermodynamic Phase Transfer (QTPT), a formalism that treats the quantum phase φ_T as a thermodynamic variable that can change during a process. We propose a set of postulates that extend the first and second laws of thermodynamics to include a term that accounts for the work associated with changes in φ_T. The framework is illustrated with a simple two–level system coupled to a thermal bath and driven by a time–dependent phase. We derive expressions for the generalized free energy and the entropy production that include phase contributions. The implications of QTPT for quantum heat engines, quantum refrigeration, and the fundamental limits of quantum thermodynamic cycles are discussed. The potential for a Nobel–level recognition of the unification of quantum coherence with classical thermodynamic principles is highlighted.
Quantum thermometry aims to measure temperature in nanoscale quantum systems, paralleling classical thermometry. However, temperature is not a quantum observable, and most theoretical studies have therefore concentrated on analyzing fundamental precision limits set by the quantum Fisher information through the quantum Cramer-Rao bound. In contrast, whether a direct temperature readout can be achieved in quantum thermometry remains largely unexplored, particularly under the nonequilibrium conditions prevalent in real-world applications. To address this, we develop a direct temperature readout scheme based on a thermodynamic inference strategy. The scheme integrates two conceptual developments: (i) By applying the maximum entropy principle with the thermometer's mean energy as a constraint, we assign a reference temperature to the nonequilibrium thermometer. We demonstrate that this reference temperature outperforms a commonly used effective temperature defined through equilibrium analogy. (ii) We obtain positive semi-definite error functions that lower-bound the deviation of the reference temperature from the true temperature-in analogy to the quantum Cramer-Rao bound for the mean squared error-and vanish upon thermalization with the sample. Combining the reference temperature with these error functions, we introduce a notion of corrected dynamical temperature which furnishes a postprocessed temperature readout under nonequilibrium conditions. This corrected dynamical temperature can be evaluated adaptively without prior knowledge of the actual temperature. We validate the corrected dynamical temperature in a qubit-based thermometer under a range of nonequilibrium initial states, confirming its capability to estimate the true temperature. Importantly, we find that increasing quantum coherence can enhance the precision of this readout.
The quantum Mpemba effect (QMpE) describes an anomalous thermalization phenomenon in which quantum states initially far from equilibrium can approach thermal equilibrium faster than states that begin closer to it. While this effect has been extensively studied in various frameworks, its practical implications for quantum information processing remain largely unexplored. We investigate the relationship between QMpE and quantum thermometry, focusing on non-equilibrium scenarios where measurements are performed during early-stage thermalization. In a Markovian model, we rigorously prove that the initial states that are optimal for thermometry exhibit QMpE with high probability and thermalize faster than most initial states. Our results reveal a fundamental connection between quantum thermodynamics and thermometry, suggesting that QMpE can be harnessed to enhance temperature estimation with quantum probes.
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Quantum systems exhibit unique behavior, often defying classical expectations. Their dynamics are profoundly shaped by the interplay of quantum and thermal fluctuations, making precise predictions challenging. This paper explores the non-equilibrium thermodynamics of quantum systems, focusing on the development of a novel framework to address this challenge. We propose a 'quantum-thermal coupling' algorithm, designed to capture the complex dynamics of these systems, offering a paradigm shift in our understanding of quantum phenomena in a dynamically changing environment. The core claim is to provide a robust and adaptable approach for modeling and predicting the behavior of quantum systems in non-equilibrium conditions, considering the intricate interplay of quantum and thermal effects. This work builds upon existing research in quantum mechanics and thermodynamics, addressing limitations in current models and establishing a foundational step towards a more complete understanding of these systems.
Quantum annealers are emerging as programmable, dynamical experimental platforms for probing strongly correlated spin systems. Yet key thermal assumptions, chiefly a Gibbs-distributed output ensemble, remain unverified in the large-scale regime. Here, we experimentally and quantitatively assess Gibbs sampling fidelity across system sizes spanning over three orders of magnitude. We explore a wide parameter space of coupling strengths, system sizes, annealing times, and D-wave hardware architectures. We find that the naively assumed scaling law for the effective temperature requires a non-negligible, coupling-independent offset that is robust across machines and parameter regimes, quantifying residual non-thermal effects that still conform to an effective Gibbs description. These non-idealities are further reflected in a systematic discrepancy between the physical temperature inferred from the sampled ensemble and the nominal cryogenic temperature of the device. Our results systematically assess the viability of quantum annealers as experimental platforms for probing classical thermodynamics, correct previous assumptions, and provide a physically grounded thermometry framework to benchmark these machines for future thermodynamic experiments.