Provably scalable learning from quantum many-body data via locality
quant-ph, cond-mat.stat-mech, cs.LG
Submitted: 2025-09-17
Updated: 2026-10-11
Terminology
Sources
- Quantum computing and artificial intelligence: status and perspectives
- Predicting Properties of Quantum Systems with Conditional Generative Models
- ShadowNet for Data-Centric Quantum System Learning
- ShadowGPT: Learning to Solve Quantum Many-Body Problems from Randomized Measurements
- Locality in Quantum Systems
- Does provable absence of barren plateaus imply classical simulability?
- Local variational quantum compilation of a large-scale Hamiltonian dynamics
- Learning shallow quantum circuits
- Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms
- Limitations of measure-first protocols in quantum machine learning
Related papers
- Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and more
- Encrypted clones can leak: Classification of informative subsets in Quantum Encrypted Cloning
- Polynomial-time classical and quantum simulation of quantum impurity models
- A quasiparticle-protected superconducting qubit
- Theory of quantum-enhanced interferometry with general Markovian light sources
- A convergent hierarchy of spectral gap certificates for qubit Hamiltonians