Geometry vs Binary: Quantum Physics Puzzles — geometric algebra quantum entanglement interpretat — E8 Intelligence Research

## 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

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-26
DOI
https://doi.org/10.5281/zenodo.23658875
Primary Topic
Quantum many-body systems
Type
preprint
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preprint

Geometry vs Binary: Quantum Physics Puzzles — geometric algebra quantum entanglement interpretat — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Quantum many-body systems
preprint

Geometry vs Binary: Quantum Physics Puzzles — geometric algebra quantum entanglement interpretat — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

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

Zenodo (CERN European Organization for Nuclear Research)
Quantum many-body systems
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