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Interesting Engineering

New robotic lab conducts 50,000 experiments, hits 27% efficiency in solar cells US firm to scale laser-based nuclear fusion ‘breakthrough’ with new partnership Military Archives - Interesting Engineering World’s first non-nuclear lead-cooled reactor to generate electricity begins installation US scientists devise new process to turn sewage sludge into 99% pure natural gas US firm unveils submarine-hunting drone with 9,200-mile-range, 35 mph top speed Military Archives - Interesting Engineering Supercomputer finds lithium-titanium tweak to boost sodium-ion batteries for grids Lockheed Martin demonstrates vertical launch missile system for mobile drone defense China’s 1116 MWe Taipingling Unit 1 reactor goes online, set to generate 9bn kWh yearly ChatGPT Images 2.0 update combines reasoning, research, and design with 2K output US Navy tests plug-and-play laser system on USS Bush carrier, downs drones at sea China’s CATL reveals 621-mile EV battery, under-7-minute charging to challenge BYD US uses world’s first exascale supercomputer to model supernovae, fusion reactors AI and Robotics Archives - Interesting Engineering First-in-human study confirms safety of graphene-based brain interface Tesla’s Optimus humanoid robot greets runners, poses for photos at Boston Marathon Interlocking materials offer high strength and flexibility for robotics, infrastructure US redeploys 100,000-ton nuclear-powered aircraft carrier in Red Sea after repairs US scientists unveil concept for ‘world’s first neutrino laser’ to unlock breakthroughs New military tech can maintain communication in contested electronic warfare environments Got a dark personality? 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blockade Iran announces opening of Strait of Hormuz, Donald Trump says blockade to continue US scientists confirm altermagnetism in rust, unlock faster, low-power electronics Chinese scientists hit record 63 K in nickel superconductors without extreme pressure Songbird study reveals potential paths for human brain’s self-repair, neurogenesis US dumping ground that stores hundreds of drums with nuclear waste set to be cleaned up Chinese scientists’ diamond-based coating to boost data center cooling efficiency by 80% US’ 100,000-ton nuclear warship sets record with longest deployment since Vietnam War World-first eVTOL two-way transition flight test completed by Vertical Aerospace New electrolyte design improves solid-state battery conductivity by 2.7 times 50-year-old prediction confirmed as scientists spot darkness moving faster than speed of light Uncrewed underwater vehicle enters service in Australia, can boost autonomous warfare power Quasi-solid-state battery hits 99.98% 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New method extracts maximum work from unknown quantum states using symmetry tricks
Rupendra Bra · 2026-04-19 · via Interesting Engineering

For years, physicists have treated knowledge as a kind of fuel in the quantum world, the more precisely you know a system; the more work you can squeeze out of it. 

However, this well-regarded assumption has now taken a hit. In a new study, researchers show that even complete uncertainty about a quantum state doesn’t stop you from extracting its full usable energy—at least when you have many copies of it. 

This challenges a deeply practical problem in quantum thermodynamics, where measuring a system precisely is often so resource-intensive that it defeats the purpose. “Evaluating the maximum amount of work extractable from a nanoscale quantum system is one of the central problems in quantum thermodynamics,” the study authors note.

The study suggests a surprising shortcut, i.e., under the right conditions, you can skip the costly step of learning the system and still get everything out of it.

From costly measurements to clever shortcuts

The amount of useful work stored in a quantum system is governed by the Helmholtz free energy, which tells you how far a system is from thermal equilibrium. The further away it is, the more work you can extract. 

Earlier studies had already established that if you have a large number of identical quantum systems, this free energy sets the maximum work you can extract. However, those results came with a major assumption: you must know the exact quantum state beforehand.

This assumption is where things break down in practice. This is because “in the experimental setting, the quantum state can be subject to unknown environmental noise, making it impossible for us to know the detailed properties of the quantum system,” Kaito Watanabe, co-study author and a graduate student at the University of Tokyo, said.

Learning the exact state requires quantum tomography, a process that consumes an enormous number of copies and significant energy just to perform measurements. 

This creates a frustrating loop—spend too much effort learning the system, and you lose the very benefit you were chasing.

A protocol that learns while it works

To overcome this problem, the researchers designed a universal work extraction protocol that does not rely on prior knowledge of the quantum state. 

Instead of trying to characterize the system fully, their method takes advantage of a subtle symmetry that appears when you deal with many identical copies. Even if each copy is unknown, the collection as a whole follows patterns that can be exploited.

The protocol unfolds in a sequence of coordinated steps that effectively tidy up the quantum information and extract work at the same time. First, a mathematical operation known as the Schur pinching channel reorganizes the system into a simpler, diagonal form—something closer to classical data that is easier to handle. 

Then, instead of measuring everything, the protocol samples only a small fraction of the copies. This limited measurement is enough to estimate the system’s relative entropy, the key quantity that determines how much work can be extracted. 

The fraction of systems used for this estimation grows very slowly compared to the total number available, so most of the systems remain intact. Finally, this estimated value is fed into a standard work extraction process, which converts the stored energy into useful work through energy-conserving operations. 

Summing up the performance of the protocol, the study authors said, “We find that our universal protocol with Schur pinching achieves the convergence speed that coincides with that of the state-aware protocol.”

What makes this approach powerful is that the learning and extraction happen together in a single pipeline. As the system evolves, it effectively figures itself out just enough to enable optimal work extraction—without ever requiring full prior knowledge.

This result hints at a broader shift in how physicists think about quantum resources. Tasks like work extraction are part of a larger framework known as resource distillation, where useful properties are pulled out of imperfect systems. 

If similar knowledge-free strategies can be developed elsewhere, it could simplify a wide range of quantum technologies.

For instance, the researchers showed that the result from the study holds for more complex, infinite-dimensional systems, such as those used in quantum optics, confirming that the free energy limit is not just theoretical but practically reachable.

However, the work has its boundaries. The protocol depends on having many identical copies of a system, which may not always be realistic. Also, while the team has extended their method to some infinite-dimensional cases, a complete understanding of such systems remains open. 

Next, the researchers aim to generalize their approach to other quantum processes and refine it for more complex, real-world conditions—where uncertainty is the rule, not the exception.

The study is published in the journal Nature Communications.

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Rupendra Brahambhatt is an experienced writer, researcher, journalist, and filmmaker. With a B.Sc (Hons.) in Science and PGJMC in Mass Communications, he has been actively working with some of the most innovative brands, news agencies, digital magazines, documentary filmmakers, and nonprofits from different parts of the globe. As an author, he works with a vision to bring forward the right information and encourage a constructive mindset among the masses.