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Temperature Beyond Equilibrium in Isolated Quantum Many-Body Systems and Their Subsystems

This paper proposes a generalized definition of temperature for isolated quantum many-body systems out of equilibrium by locating non-stationary states within a family of regular states compatible with their energy-coherence structure, thereby replacing the principle of maximum entropy with a principle of minimum discrimination information and extending the framework to subsystems via induced local thermodynamic structures.

Original authors: Maurizio Fagotti

Published 2026-07-10
📖 6 min read🧠 Deep dive

Original authors: Maurizio Fagotti

Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine you have a giant, invisible dance floor made of quantum particles. In the old days, physicists thought that if you wanted to know how "hot" this dance floor was, you just had to wait until everyone stopped dancing wildly and settled into a calm, steady rhythm. That calm state is called equilibrium, and in that state, temperature is a well-behaved, easy-to-measure number.

But what happens when the music changes suddenly? What if you hit the dance floor with a quantum "quench," sending the particles into a chaotic, swirling frenzy that never quite settles down? For nearly two centuries, scientists have struggled to answer a simple question: What is the temperature of a system that is out of equilibrium?

In this paper, Maurizio Fagotti proposes a new way to look at the problem. He suggests that we stop trying to force these chaotic systems into the old "calm down" box. Instead, we should treat temperature as a way to locate a specific state within a vast, organized library of possibilities, even while the system is still dancing.

The Two Kinds of Energy Jitters

To understand the new idea, imagine the energy in the system has two different types of "wiggles":

  1. The Populations: This is like the number of dancers on the floor. If you have more dancers, you have more energy. This is the "classical" part, the kind of ignorance we usually have about how much energy is in a system.
  2. The Coherence: This is the tricky part. It's like the dancers holding hands in a specific, synchronized pattern. Even if the total number of dancers stays the same, the way they are connected (their relative phases) creates a special kind of energy uncertainty that has no classical equivalent. This coherence is what drives the system to change over time.

The paper argues that to define temperature out of equilibrium, we must separate these two wiggles. We need to find the temperature that fits the "population" part, while keeping the "coherence" part exactly as it is.

The Library of Leaves

Fagotti uses a clever metaphor called a foliation. Imagine the entire state of the quantum system is a giant book.

  • The Old Way (Commutant Foliation): In the past, scientists organized this book by grouping pages that shared the same "basis" (like grouping books by the author's name). But this only worked well when the system was calm (equilibrium). Once the system gets chaotic, this organization falls apart because the "author" (the pre-quench temperature) loses its meaning.
  • The New Way (Minimum-Variance Foliation): The author suggests a new way to organize the book. Imagine the pages are grouped into "leaves" based on how much coherent energy they contain. All states on the same "leaf" share the exact same pattern of quantum connections (coherence), but they differ in how the energy is distributed among the dancers (populations).

Think of a leaf as a specific "vibe" or "mood" of the system. Once you know the mood (the coherence), you can slide along the leaf to find the temperature. The temperature is just the coordinate that tells you where you are on that specific leaf.

The New Rulebook: Minimum Discrimination, Not Maximum

Here is where the paper makes a bold move. In standard thermodynamics, we usually find the state of a system by assuming it maximizes entropy (disorder). It's like saying, "The system will do whatever creates the most chaos."

However, this paper argues that out of equilibrium, the "maximum entropy" rule is wrong. Instead, the system follows a principle of minimum discrimination information.

Imagine you are trying to guess a secret code. The old rule said, "Guess the code that is most random." The new rule says, "Guess the code that is closest to what you already know, without changing the parts you are sure about (the coherence)." The paper shows through simulations that if you use the old "maximum entropy" rule on these chaotic leaves, you get the wrong temperature. The new rule, which minimizes the difference from a reference state, gives the correct answer.

What About the Subsystems? (The Partial View)

What if you only look at a small corner of the dance floor? Can you measure the temperature there?
The paper says no, not exactly. You cannot just look at the reduced state of a small piece and say, "Ah, this piece has a temperature of 5."

Why? Because the temperature of a small piece depends on how it is connected to the rest of the dance floor. The "temperature" of a subsystem is determined by the entire trajectory of the system's evolution. It's like trying to guess the speed of a car by looking only at the rearview mirror; you need to know the whole road ahead to understand the speed.

However, the paper suggests that if the subsystem is large enough, the "boundary" effects (the edges where the subsystem meets the rest of the world) become small. In the limit of a very large subsystem, we can define a local temperature, but there is always a tiny bit of uncertainty (proportional to the inverse of the subsystem's size) because of those boundary interactions.

What the Paper Rules Out

  • It rules out the idea that temperature is just a leftover from equilibrium. The paper argues that temperature is an intrinsic property of the state and its dynamics, not just a remnant of a calm past.
  • It rules out the idea that the principle of maximum entropy works for these non-equilibrium states. The authors show that using maximum entropy leads to biased, incorrect temperatures.
  • It rules out the idea that you can define a subsystem's temperature solely by looking at that subsystem's reduced state. The history and the global connection matter.

How Sure Are We?

The paper presents a theoretical framework that is mathematically rigorous for a specific class of systems (quantum spin chains with short-range interactions).

  • The core definition of the "leaf" and the "canonical flow" is derived from established quantum information theory (specifically the minimum-variance foliation).
  • The claim that "maximum entropy fails" and "minimum discrimination works" is supported by numerical simulations (Section 6 of the paper). The authors ran simulations showing that the old method gives a biased result, while the new method aligns with the expected physical behavior.
  • The paper suggests that this framework applies to the thermodynamic limit (infinite systems), but it acknowledges that some parts (like the existence of phase transitions on these "leaves") are still open questions for future research.

The Takeaway

Temperature isn't just a number you measure when things are calm. It's a coordinate on a map of possibilities. Even when a quantum system is in a chaotic, non-equilibrium frenzy, it still has a temperature—but to find it, you have to stop looking at the system as a static object and start looking at the "leaf" of possibilities it lives on, keeping its quantum connections (coherence) fixed while sliding along the path of least resistance. It's a new way of seeing the heat in the chaos.

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