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How a Quantum Computer Distinguished Past from Future ⚡ экспресс

Original: "Machine learning the arrow of time in solid-state spins"
arXiv:2603.10344 · 2026-03-11 · CC BY 4.0 · ⏱ 1 min · Quantum Physics
Scientists trained a neural network to determine the direction of time from quantum processor data.
Abstract

The emergence of the thermodynamic arrow of time in microscopic systems is a fundamental problem, since unitary evolution preserves the symmetry of time reversal. Projective measurements create irreversibility, but extracting asymmetry at the level of individual trajectories amid stochastic fluctuations is challenging. The experiment was performed on a ten-qubit quantum processor (NV center in diamond). Unitary heat transfers from hot to cold and their time-reversed versions were implemented; introducing projective measurements generates entropy, and their outcomes form a trajectory. An unsupervised clustering algorithm automatically separates trajectories into two classes without prior knowledge, and a convolutional neural network recognizes the direction of time with ~92% accuracy. A diffusion generative model reproduces the characteristic features of directed energy flow and entropy production. This demonstrates the potential of machine learning as a tool for extracting physical processes from complex data at the intersection of quantum thermodynamics and AI.

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A film of a shattered cup cannot be watched backwards: the growth of disorder, or entropy, points the way of time. Yet the equations of the microworld are symmetric — past and future are on equal footing. To understand how the arrow of time emerges, scientists used a quantum processor made of carbon diamond with ten qubits (quantum analogs of bits).

They ran processes where heat flows from hot to cold, and their reverse copies, inserting measurements that forced entropy to grow. The data was fed to a neural network. Without any hints, it learned to distinguish forward heat flow from backward with 92% accuracy, as if plucking signs of irreversibility out of the noise.

A generative diffusion-based model even reproduced key features of the directed energy flow — like an artist copying not just the brushstrokes but the whole storyline.

This is more than just a game. The ability to read the arrow of time in quantum systems will bring us closer to building microscopic engines and reveal how irreversibility is born from symmetry. Incidentally, the diamond processor operated at room temperature — a rarity for quantum devices.

🎯 Remove the measurements from the process, and symmetry returned — the neural network could no longer tell the direction of time. It is quantum measurements that 'switch on' irreversibility.

🎬 The idea of recognizing the arrow of time in quantum data harks back to the film 'Tenet', where inverted entropy makes time flow backwards.

Scientists
Alan GuthAndrei LindeGeorges LemaîtreJames PeeblesAdam RiessBrian Schmidt
Tags
entropy carbon Standard Model big bang
Laws
Friedmann equationsHubble's lawsecond law of thermodynamicsNoether's theoremBekenstein-Hawking entropyEinstein field equations
Original: arXiv:2603.10344 · CC BY 4.0 · bridge42worlds