Geometry vs Binary: Quantum Physics Puzzles — geometric algebra quantum entanglement interpretat — E8 Intelligence Research
Year: 2026
Type: preprint
Abstract: ## Binary Failure → Geometry Solution # Analysis: Tensor Networks, Entanglement Simulation, and the Geometric Wall ## Where the Conventional Approach Hits the Wall Tensor networks are the *best* conventional tool for simulating quantum entanglement — and that's exactly why they're the perfect case study. They work by representing a quantum state as a network of contracted tensors, with **bond dimension** controlling how much entanglement you can capture. The wall is precise: **1. The bond-dimension explosion.** To exactly represent a generic entangled state of N qubits, bond dimension grows exponentially (χ ~ 2^(N/2)). Every talk in this list — Ran's "simulators inspired by tensor network," Dziarmaga's "2D tensor networks," Lucia's "entanglement structures" — is dancing around the same fact: **the geometry of the tensor network is chosen by hand, and the entanglement geometry of the actual state doesn't match it.** You pick a 2D grid, or a tree, or a MERA, and hope the state's enta Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Author: Caldin, Andrew Stewart
Language: English
Topic: Quantum many-body systems
Subfield: Atomic and Molecular Physics, and Optics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7223665417