Research map / Probabilistic and scientific modeling / Variational and generative sampling
Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| replace QVMC with WQMC | QVMC (Psiformer) · Be | relative energy error: 1.50e-5 -> 3.79e-6 | Helped |
| replace QVMC with W(FR)QMC | QVMC (Psiformer) · Be | relative energy error: 1.50e-5 -> 1.04e-6 | Helped |
| replace QVMC with WQMC | QVMC (Psiformer) · B | relative energy error: 9.01e-6 -> 9.58e-6 | No clear effect |
| replace QVMC with W(FR)QMC | QVMC (Psiformer) · B | relative energy error: 9.01e-6 -> 2.69e-6 | Helped |
| replace QVMC with WQMC | QVMC (Psiformer) · Li2 | relative energy error: 4.43e-5 -> 3.71e-5 | Helped |
| replace QVMC with W(FR)QMC | QVMC (Psiformer) · Li2 | relative energy error: 4.43e-5 -> 3.66e-5 | Helped |
| replace QVMC with WQMC | QVMC (Psiformer) · H10 | relative energy error: 4.24e-4 -> 3.90e-4 | Helped |
| replace QVMC with W(FR)QMC | QVMC (Psiformer) · H10 | relative energy error: 4.24e-4 -> 3.88e-4 | Helped |
| replace QVMC with WQMC | QVMC (Psiformer) · Be | energy variance: 5.53e-3 -> 1.08e-3 | Helped |
| replace QVMC with W(FR)QMC | QVMC (Psiformer) · B | energy variance: 1.96e-2 -> 1.19e-2 | Helped |
| replace QVMC with WQMC | QVMC (Psiformer) · Li2 | energy variance: 7.21e-3 -> 5.76e-4 | Helped |
| replace QVMC with WQMC | QVMC (Psiformer) · H10 | energy variance: 1.89e-3 -> 2.30e-4 | Helped |
Closest papers by meaning
- Quadratic Quantum Variational Monte Carlo (NeurIPS 2024 · similarity 0.91)
- A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation (AAAI 2025 · similarity 0.89)
- One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective (NeurIPS 2026 · similarity 0.88)
- Diagonal Symmetrization of Neural Network Solvers for the Many-Electron Schrödinger Equation (ICML 2025 · similarity 0.87)
- PALQO: Physics-informed model for Accelerating Large-scale Quantum Optimization (NeurIPS 2025 · similarity 0.87)
- Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres (NeurIPS 2025 · similarity 0.86)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
