#theoreticalphysics

2025-12-17
Beyond String Theory and Loop Quantum Gravity: 4 approaches to quantum gravity you've probably never heard of

Most people know about string theory and loop quantum gravity. But there's a whole constellation of alternative approaches—brilliant ideas pursued by smaller research groups, each with its own radical take on spacetime.

1. Causal Dynamical Triangulations
Imagine building spacetime from tiny tetrahedra (3D triangles). CDT glues these together with one crucial rule: causality must be preserved. No going backward in time as you move between building blocks.

The stunning result? At large scales, a 4D de Sitter universe emerges spontaneously. But zoom in to the Planck scale and spacetime becomes effectively 2-dimensional—a "dimensional reduction" that might solve gravity's UV divergences.

2. Asymptotic Safety (Quantum Einstein Gravity)
What if gravity IS renormalizable, but we've been looking at it wrong? Weinberg proposed in 1979 that gravity might have a "non-Gaussian fixed point"—a special regime where quantum corrections don't blow up, but stabilize.

Recent work suggests Newton's constant and spacetime dimension both "run" with energy scale. At high energies, spacetime might be fractal with dimension ~2. No strings, no loops—just Einstein's equations taken seriously as quantum field theory.

3. Quantum Graphity
The most radical: spacetime doesn't exist fundamentally. Instead, points in a complete graph (where everything is connected to everything) undergo a phase transition as the universe cools.

High energy = total chaos, no spacetime. Low energy = graph "freezes" into local structure, and boom—geometry emerges. It's like water crystallizing, but for spacetime itself. Fotini Markopoulou calls it "geometrogenesis."

4. Tensor Models / Group Field Theory
Higher-dimensional generalizations of matrix models. Tensors encode quantum geometry, and their Feynman diagrams are dual to simplicial complexes—discrete spacetimes.

The breakthrough: a new "large N" expansion that's actually tractable. This connects to loop quantum gravity, allows rigorous renormalization, and suggests spacetime might be fundamentally random at the Planck scale.

What unites these approaches? They all predict:
  • Planck-scale discreteness
  • Dimensional reduction at high energies
  • Background independence
  • Spacetime as emergent, not fundamental
The diversity matters. We don't know which path leads to quantum gravity—maybe none of them, maybe all of them converge. But exploring different mathematical frameworks prevents groupthink and keeps theoretical physics honest.

Sometimes the roads less traveled are where the real discoveries hide. ✨

#Physics #QuantumGravity #TheoreticalPhysics
2025-12-15
What if electrons aren't particles at all, but knots in spacetime?

The Bilson-Thompson model proposes that particles in the Standard Model are literally braided structures in the quantum fabric of space itself. In Loop Quantum Gravity, spacetime at the Planck scale forms a network of quantum threads. Bilson-Thompson asked: what if different braid patterns ARE different particles?

• Electric charge = number of twists in the ribbons
• Color charge = different braiding patterns
• Particle identity = specific knot topology

It's a beautiful "road not taken" in physics—an attempt to unify matter and spacetime through pure geometry. While incomplete (only works for 1st generation fermions), it represents one of the most elegant attempts to bridge quantum gravity and particle physics.

Imagine: your body, the stars, everything—just different ways spacetime ties itself in knots. 🧵✨

#Physics #QuantumGravity #TheoreticalPhysics
2025-12-05

Something Weird Happens When E=-mc²

tube.blueben.net/w/xqcZsk18qa3

2017-06-17

Spheres in a Space with Trillions of Dimensions

I don't venture into speculative science writing - this is just about classical statistical mechanics; actually about a special mathematical aspect. It was one of the things I found particularly intriguing in my first encounters with statistical mechanics and thermodynamics a long time ago - a curious feature of volumes. I was mulling upon how to 'briefly motivate' the calculation below in a comprehensible way, a task I might have failed at years ago already, when I tried to use […]

elkement.art/2017/06/17/sphere

2025-11-11
Anti-de Sitter space: a negatively curved spacetime with a boundary at infinity that light can reach in finite time.

It doesn't exist in nature (our universe has positive curvature), but AdS/CFT made it the cornerstone of quantum gravity research. Sometimes the best lab is one nature didn't build. 🔬

#TheoreticalPhysics
Laurent Bessonlolotux@piaille.fr
2025-11-09

🚀 New open scientific release:
Hypercomplex General Relativity (RGH)
A quaternionic extension of General Relativity, implemented in CLASS cosmology code.
🔗 Code: github.com/lolotux69/class_pub
🔗 Paper: zenodo.org/records/17535167
#OpenScience #TheoreticalPhysics #Cosmology #GeneralRelativity #OpenSource

HistoPol (#HP) 🏴 🇺🇸 🏴HistoPol
2025-11-06


**

Wow, if you you are not a physicist, but would still like to learn more about the advances of our understanding about the universe, I recommend the visually supported video by , theoretical physicist and applied mathematician.

You will learn about bosons, string theory, and the like in an entertaining way.

youtube.com/watch?v=NfTmy1ApCvI

2025-08-30

I was reading somewhere an explanation for why the night skies are not totally whited out by the brazillions of galaxies and stars in the universe. Spoiler: it’s cuz some of them are so far away their light hasn’t reached us yet, and some are moving away from us so their light will be mega-redshifted. So if a star or galaxy is far enough away & moving away from us, will it wink out at some point when it zooms beyond the threshold? #cosmology #universe #theoreticalphysics #askingforafriend

Paul HouleUP8
2025-08-28

📳 Physicists solve 90-year-old puzzle of quantum damped harmonic oscillators

phys.org/news/2025-08-physicis

2025-08-11

Generative AI in Physics?

As a new academic year approaches we are thinking about updating our rules for the use of Generative AI by physics students. The use of GenAI for writing essays, etc, has been a preoccupation for many academic teachers. Of course in Physics we ask our students to write reports and dissertations, but my interest in what we should do about the more mathematical and/or computational types of work. A few years ago I looked at how well ChatGPT could do our coursework assignments, especially Computational Physics, and it was hopeless. Now it’s much better, though still by no means flawless, and now there are also many other variants on the table.

The basic issue here relates to something that I have mentioned many times on this blog, which is the fact that modern universities place too much emphasis on assessment and not enough on genuine learning. Students may use GenAI to pass assessments, but if they do so they don’t learn as much as they would had they done the working out for themselves. In the jargon, the assessments are meant to be formative rather than purely summative.

There is a school of thought that has the opinion that formative assessments should not gain credit at all in the era of GenAI since “cheating” is likely to be widespread. The only secure method of assessment is through invigilated written examinations. Students will be up in arms if we cancel all the continuous assessment (CA), but a system based on 100% written examinations is one with which those of us of a certain age are very familiar.

Currently, most of our modules in theoretical physics in Maynooth involve 20% coursework and 80% unseen written examination. That is enough credit to ensure most students actually do the assignments, but the real purpose is that the students learn how to solve the sort of problems that might come up in the examination. A student who gets ChatGPT to do their coursework for them might get 20%, but they won’t know enough to pass the examination. More importantly they won’t have learnt anything. The learning is in the doing. It is the same for mathematical work as it is in a writing task; the student is supposed to think about the subject not just produce an essay.

Another set of issues arises with computational and numerical work. I’m currently teaching Computational Physics, so am particularly interested in what rules we might adopt for that subject. A default position favoured by some is that students should not use GenAI at all. I think that would be silly. Graduates will definitely be using CoPilot or equivalent if they write code in the world outside university so we should teach them how to use it properly and effectively.

In particular, such methods usually produce a plausible answer, but how can a student be sure it is correct? It seems to me that we should place an emphasis on what steps a student has taken to check an answer, which of course they should do whether they used GenAI or did it themselves. If it’s a piece of code to do a numerical integration of a differential equation, for example, the student should test it using known analytic solutions to check it gets them right. If it’s the answer to a mathematical problem, one can check whether it does indeed solve the original equation (with the appropriate boundary conditions).

Anyway, my reason for writing this piece is to see if anyone out there reading this blog has any advice to share, or even a link to their own Department’s policy on the use of GenAI in physics for me to copy adapt for use in Maynooth! My backup plan is to ask ChatGPT to generate an appropriate policy…

#assessment #chatgpt #copilot #education #formativeAssessment #genai #generativeAi #physics #summativeAssessment #theoreticalPhysics

2025-08-01

It is not always easy to find a good fit at an excellent research institution. If you are considering doing a #PhD or #Postdoc in #mathematics #particlephysics #theoreticalphysics or #astrophysics we have you sorted in Hamburg. This workshop is a way to get to know our Cluster of Excellence and #UniHamburg/#DESY groups on those topics, just before we start hiring this year. Check it out!

trndgtr.comtrndgtr
2025-07-29

Math Over Matter in Physics - Eric Weinstein on DOAC

2025-07-10

#Physic
I am pleased to present my paper: "An Experimental Proposal for the Validation of Geometric Particle Models within the Helix-Light-Vortex (HLV) Theory".

This work formulates a concrete experimental proposal to test two central postulates of the HLV theory by means of analog quantum simulation. It details a two-phase experiment to validate the hypotheses of leptons as "Single-Cell Resonance" (SCR) and hadrons as "Tri-Cellular Coupling" (TCC).

academia.edu/130457397/An_Expe

Same poem with slight revisions.

I think it is one of the better ones I have written, but all constructive criticism is welcome and appreciated.

#poem #poetry #quantum
#quantummechanics
#theoreticalphysics
#writing

m1a1-thesockmonkey.blogspot.co

Michael Kazarnowiczkazarnowicz@unstraight.club
2025-06-24

I can’t wrap my head around the implications of the #AndromedaParadox.

Say that a very advanced civilization (Kardashev type 3) in the Milky Way decide to do something like JWST, but on a galactic scale: a star-system large telescope array just outside the edge of the galaxy with the goal to capture an image of the Andromeda Galaxy with resolution down to continents on planets.

1/x

#AndromedaParadox #theoreticalphysics #maths #scifi

N-gated Hacker Newsngate
2025-05-26

Oh wow, rooming with , , and Tao? 🤯 Because everyone knows theoretical physics and groundbreaking math are best discussed over burnt toast and passive-aggressive sticky notes on the fridge. 🤪 James Watson missed out, but maybe he’s the real genius for dodging the roommate drama. 🏃‍♂️💨
faisalabid.com/p/you-share-a-h

N-gated Hacker Newsngate
2025-05-18

😆 Behold, folks: yet another repository promising to simulate high-minded theoretical physics using Python! Just what we needed, a no one will read, masquerading as an academic breakthrough while serving as a shrine to the "Ctrl+C, Ctrl+V" gods. 🏗️🐍
github.com/gvelesandro/constru

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