Most energy stories treat heat as the central character. A hot reservoir supplies heat, a cold reservoir receives waste heat, and a heat engine sits between them trying to convert as much of the temperature difference as possible into work. Carnot’s famous limit tells us the maximum efficiency for that idealized two-temperature arrangement. But modern quantum thermodynamics keeps exposing a deeper bookkeeping fact: heat is not only energy. Heat is energy carrying entropy.

A recent arXiv paper by Liam Judd McClelland, “Beyond the Carnot limit: work extraction via an entropy battery,” takes that bookkeeping seriously. The paper argues that if entropy can be exported from an energy reservoir into a different conserved quantity — specifically a spin angular momentum reservoir — then the usual Carnot comparison no longer captures the full resource landscape. Under that altered accounting, McClelland shows that an ensemble with multiple conserved quantities can transform heat into work beyond the ordinary Carnot-efficiency benchmark while operating at maximum power.

The headline is not “the second law is broken.” It is more interesting: the cold bath in a heat engine is really an entropy sink, and quantum systems may let us build entropy sinks from resources other than ordinary thermal energy.

Why Carnot is a benchmark, not a universal slogan

Carnot efficiency applies to a heat engine operating reversibly between two thermal reservoirs at different temperatures. It is one of the great constraints in physics, and it remains the correct reference for ordinary engines that consume heat from a hot bath and dump heat into a colder bath. Problems begin when “beyond Carnot” is used as a vague slogan. A device can appear to exceed the two-bath Carnot number if it consumes an extra resource: coherence, squeezing, information, measurement feedback, chemical potential, angular momentum, or another conserved quantity. The real question is whether the resource accounting is explicit.

McClelland’s paper is careful on that point. It builds on work showing that quantum heat engines can operate between a thermal energy reservoir and a spin angular momentum reservoir, rather than between two thermal reservoirs alone. In a 2018 arXiv paper, Jackson S. S. T. Wright, Tim Gould, André R. R. Carvalho, Salil Bedkihal and Joan A. Vaccaro proposed an optical heat engine with a single thermal reservoir and a spin reservoir coupled to a three-level system with an energy-degenerate ground state. Their motivation traces to Landauer erasure with multiple conserved quantities: if erasing information can be paid for in angular momentum rather than energy, then the space of thermodynamic machines expands.

2 reservoirs

The proposed architecture replaces the conventional hot-plus-cold thermal pair with a hot thermal energy reservoir plus a spin angular momentum reservoir that can absorb entropy.

The entropy-battery idea

In a conventional engine, the cold reservoir is indispensable because entropy must go somewhere. If an engine extracts heat from a hot bath and converts some of it to work, the remaining entropy is expelled to the cold bath. That expulsion is what limits efficiency. The colder the sink, the more work can be extracted from a given amount of heat; but at any finite pair of temperatures, Carnot sets the reversible bound.

The entropy-battery proposal changes the identity of the sink. Instead of treating the cold bath as the only acceptable entropy destination, it asks whether entropy can be stored in a reservoir associated with a different conserved quantity. Spin angular momentum is the example. A reservoir of spin states can have a thermodynamic description with its own temperature-like parameter, heat capacity and fluctuation-dissipation relations. If entropy is transferred into that spin reservoir, then less energy needs to be carried away as waste heat. More of the hot reservoir’s energy can, in principle, become useful work.

This is why the phrase entropy battery is apt. A normal battery stores energy in chemical or electromagnetic degrees of freedom. An entropy battery stores the “disorder budget” that would otherwise force an engine to reject heat. It is not a perpetual-motion device; it is a resource that must be prepared, maintained and eventually reset or discharged. But if implemented in a high-density quantum material or spin ensemble, it could change how small devices manage waste entropy.

What does “beyond Carnot” mean here?

It means beyond the Carnot efficiency of an ordinary two-thermal-reservoir engine used as the comparison case. The device is drawing on a nonstandard thermodynamic resource — a spin angular momentum reservoir — so the second law still demands a complete accounting of that resource.

Why quantum systems make the idea plausible

Quantum thermodynamics is comfortable with multiple conserved quantities because quantum systems often have structure beyond energy alone. Spin, particle number, angular momentum, charge and other quantities may be conserved or approximately conserved on useful timescales. In many-body systems, those quantities can form reservoirs with their own generalized Gibbs ensembles. That makes them candidates for storing entropy without playing the role of a cold energy bath.

McClelland’s analysis emphasizes that the spin reservoir can behave as a genuine thermodynamic bath. The paper discusses well-defined temperatures, heat capacities and fluctuation-dissipation behavior for thermal spin reservoirs. That point matters because an entropy sink cannot just be a metaphor. To design a machine around it, researchers need variables that can be measured, controlled and inserted into a cycle calculation.

The result also avoids a common route to high apparent efficiencies: induced quantum coherence. Coherence is powerful, and many quantum-engine proposals use coherent superpositions, squeezed reservoirs or measurement feedback to alter engine performance. The entropy-battery argument is different. It says that even without induced coherence, multiple conserved quantities can reshape the maximum-power work extraction problem. That makes the proposal conceptually clean, and potentially easier to compare with platforms such as spinor condensates, magnetic materials, spintronic devices and quantum batteries.

If heat is energy plus entropy, then controlling entropy flow is as important as controlling energy flow. Quantum devices give engineers more places to send that entropy.

Where Floquet engineering enters the story

The paper is not primarily a Floquet-materials result. Still, its implications sit naturally beside Floquet engineering. Floquet devices use periodic driving — microwave pulses, laser fields, gate modulation or mechanical motion — to create effective Hamiltonians and steer energy flow. That same periodic-control toolbox could be used to couple a working system alternately to an energy reservoir and a spin reservoir, to tune selection rules, or to stabilize the nonequilibrium states that make the entropy battery useful.

For the floquet.ca audience, the connection is practical. Floquet engineering has long promised “control knobs” for materials: light-induced topology, dynamical localization, prethermal phases, time crystals and driven superconducting responses. Quantum thermodynamics asks what those knobs cost energetically and how they can be used to do work. An entropy battery suggests a new target for periodic control: not simply pumping energy into or out of a system, but routing entropy into a reservoir engineered to accept it cheaply.

Imagine a driven quantum device whose useful output is limited by heat rejection. A Floquet protocol might open resonant transitions that move population entropy into spin degrees of freedom while extracting energy as work. Another protocol might periodically refresh the spin reservoir, analogous to a charging cycle. These are not demonstrated machines yet, but they fit the broader shift from static thermodynamic resources to time-structured, quantum-engineered resources.

2018 → 2025

The entropy-battery paper extends a line of work from spin-reservoir heat engines proposed in 2018 to a broader claim about maximum-power work extraction and high-density entropy storage.

Potential applications: heat storage, spintronics and quantum batteries

McClelland points to several application areas: quantum heat engines, spinor condensates, spintronics and quantum batteries. The common theme is density. If a reservoir can absorb entropy without requiring a large flow of waste heat, it may enable compact devices that convert heat more effectively or store thermal availability for later use. That matters for nanoscale power management, cryogenic electronics, quantum processors and sensors where heat is both an energy resource and a source of decoherence.

Spintronics is especially suggestive because it already treats spin as an information and transport carrier. If spin reservoirs can be engineered not only to carry signals but also to absorb entropy, they could become part of thermal-management architectures for quantum and low-power electronics. Spinor condensates offer another route because they provide controllable many-body spin degrees of freedom in a laboratory setting. Quantum batteries are the broader device category: systems that store extractable work, or ergotropy, in quantum states. An entropy battery would complement that effort by storing the entropy cost that limits work extraction.

The hard questions before this becomes technology

The proposal also raises demanding engineering questions. How is the spin reservoir prepared? How long does it remain useful before saturating with entropy? What is the energetic and practical cost of resetting it? Can a real device maintain the needed separation between energy and spin exchanges, or will uncontrolled coupling smear the advantage into ordinary heating? And can the entire machine be benchmarked against a generalized second law that includes every consumed resource?

Those questions are not objections; they are the research program. A strong next step would be a platform-level model where a periodically driven working system couples to a finite spin reservoir with realistic dissipation. Another would be an experiment inspired by the 2018 optical heat-engine proposal, using well-characterized spin states and direct heat/work measurements. The field also needs clear metrics: maximum power, total resource cost, reset cost, entropy capacity, stability and cycle-to-cycle fluctuations.

Why this matters for energy research

Large-scale power plants will not be replaced by spin reservoirs. The near-term relevance is smaller and sharper: quantum chips, sensors, cryogenic electronics and nanoscale devices where heat, information and control resources are deeply intertwined.

A better way to talk about beyond-Carnot science

The most valuable part of the entropy-battery proposal may be rhetorical discipline. It gives “beyond Carnot” a precise meaning: not magic efficiency, but a different thermodynamic architecture with an explicit extra resource. That is exactly the kind of distinction quantum energy research needs. Some beyond-Carnot claims are artifacts of incomplete accounting. Others reveal genuinely new ways to convert, store or route thermodynamic resources. The entropy battery belongs in the second category because it forces the accounting question into the open.

For Floquet and driven-quantum researchers, the lesson is clear. Periodic control can do more than dress energy levels. It can define pathways for entropy, angular momentum and information. If those pathways are engineered with the same care now applied to band topology or coherent control, quantum thermodynamics may gain a new class of compact entropy-management devices. That would not abolish Carnot. It would teach us when Carnot is the right benchmark — and when a richer quantum resource theory is required.

Research citations

Primary source: Liam Judd McClelland, “Beyond the Carnot limit: work extraction via an entropy battery,” arXiv:2510.08989v2 (2025). Background source: Jackson S. S. T. Wright, Tim Gould, André R. R. Carvalho, Salil Bedkihal & Joan A. Vaccaro, “Quantum heat engine operating between thermal and spin reservoirs,” arXiv:1804.00843 (2018). Related context includes Vaccaro & Barnett, “Information erasure without an energy cost,” Proceedings of the Royal Society A 467, 1770 (2011), and modern work on driven quantum thermal machines using Floquet formalisms such as Das, Mahunta, Agarwalla & Mukherjee, arXiv:2204.14005.

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