Related Experiment Video
Updated: Jan 15, 2026
05:30
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
Published on: September 8, 2023
1.1K
Attention to quantum complexity
Hyejin Kim1, Yiqing Zhou1, Yichen Xu1
1Department of Physics, Cornell University, Ithaca, NY 14853, USA.
Science Advances
|October 10, 2025
Summary
We developed Quantum Attention Network (QuAN), an AI tool that learns quantum state complexity from noisy data. QuAN helps characterize quantum computing states, even in challenging scenarios beyond current theoretical understanding.
Area of Science:
- Quantum Computing
- Artificial Intelligence
- Quantum Information Science
Background:
- Characterizing quantum state complexity is crucial for error-corrected quantum computing.
- Limited and noisy measurements pose significant challenges for state characterization.
Purpose of the Study:
- Introduce the Quantum Attention Network (QuAN), a novel AI framework for learning quantum complexity.
- Leverage attention mechanisms inspired by large language models for quantum state analysis.
Main Methods:
- QuAN treats measurement snapshots as tokens, respecting permutation invariance.
- Utilizes a parameter-efficient miniset self-attention block to access high-order moments.
- Applies the framework to driven hard-core Bose-Hubbard model, random quantum circuits, and toric code simulations.
Main Results:
- QuAN successfully learns entanglement and state complexity growth from noisy computational basis measurements.
- Accurately predicts complexity growth in random quantum circuits using noisy data.
- Unveils the complete phase diagram for noisy toric code, even in theoretically inaccessible regimes.
Conclusions:
- QuAN demonstrates AI's potential to assist quantum hardware by characterizing complex quantum states.
- The framework provides robust methods for analyzing quantum states from limited, noisy experimental data.
- Highlights the transformative impact of AI in advancing quantum computing research.
Related Concept Videos
02:43Quantum Numbers
49.2K
It is said that the energy of an electron in an atom is quantized; that is, it can be equal only to certain specific values and can jump from one energy level to another but not transition smoothly or stay between these levels.
49.2K
02:45The Quantum-Mechanical Model of an Atom
56.5K
Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
56.5K
04:08The Uncertainty Principle
31.3K
Werner Heisenberg considered the limits of how accurately one can measure properties of an electron or other microscopic particles. He determined that there is a fundamental limit to how accurately one can measure both a particle’s position and its momentum simultaneously. The more accurate the measurement of the momentum of a particle is known, the less accurate the position at that time is known and vice versa. This is what is now called the Heisenberg uncertainty principle. He...
31.3K
01:10Entropy Change in Reversible Processes
3.2K
In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
3.2K
02:39Entropy
34.9K
Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
34.9K
01:18Entropy
3.5K
The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
3.5K