Julian Barbour is a theoretical physicist and emeritus visiting professor of physics at the University of Oxford. He is well known for proposing that time does not actually exist. For decades, he has worked outside an academic environment. He financially supported himself for many years by translating Russian. Professor Barbour is author of the following books: The Discovery of Dynamics, The End of Time and The Janus Point.

In this episode, we go over:
- Topos theory, set theory and Zermelo's beef with Boltzmann
- Algebraic varieties and monads in category theory
- Why physicists are wrong about the 2nd law of thermodynamics (because the universe is not a closed system)
- The real goal of the universe is complexity and variation, not entropy
- Hawking and Penrose's outrageous arguments
- Why we don't need wavefunctions, photons, bosons or gauge fields
- Why there is no quantum gravity
- Von Neumann's hilarious advice to Claude Shannon
- The intrinsic derivative
- Combining art and science

This material explores the radial dynamics of a 2D circular quantum well using the Sturm-Liouville approach learned in mathematical physics. By directly mapping the Bessel equation, it shows how the physical centrifugal barrier naturally appears from the effective potential. This structural relationship clearly explains why the radial probability amplitude of rotating states must vanish at the center.

Quantum Simulator

​Following the feedback on my previous showcase here, I’ve been working on a major update for Genesis an open-source 3D real-time atomic & subatomic simulator built with JavaFX and Python (gRPC).

​The main focus of v0.3.0 was fixing engine stability and improving the physical accuracy of nuclear interactions based on your suggestions.

​What’s new in v0.3.0:

​Neutron & Alpha Bombardment: You can now fire slow neutrons or 5 MeV alpha particles at the nucleus. Outcomes (capture, scattering, fission) are calculated using measured ENDF/B-VIII.0 cross-sections.

​Impact Causality Fix: Fixed the visual desync where the nucleus mutated instantly on UI click. State updates are now strictly tied to the exact millisecond of the particle collision callback.

​Open-Shell Valence View: Added a dedicated visualizer focusing purely on reactive valence orbitals (s, p, d, f).

​Engine Stability & Optimization: Re-architected gRPC buffer handling to eliminate crashes during rapid periodic table selections.

​Full Localization & OS Support: Reviewed ~2,400 English sentences, added 1-click FR/EN toggle, and added macOS support alongside Windows and Linux.

​Thank you to everyone who tested the early build and provided detailed feedback on the calculations and UI.

​The project is completely free and open-source.

​Website: https://genesis.gemmi-e.com

​I’d love to hear your thoughts on the new cross-section implementation!

Registrations close in 24 hours!

Quantum Week is a five-day quantum technology initiative featuring expert talks, technical workshops, hands-on learning, research and industry interactions, project showcases, and Q-Hack India 2026 — The Quantum Build Challenge, a national-level quantum hackathon gathering participants across India in Bengaluru.

Quantum Week 2026 | 27–31 October | MSRIT Bengaluru

• 27–29 Oct: Quantum Bootcamp & Technical Sessions
• 30 Oct: Quantum Conclave & Q-HACK INDIA kickoff
• 30–31 Oct: Q-HACK INDIA 2026, a national-level quantum hackathon

Register: https://www.quantumweek.tech/

Interested in joining as a speaker, hackathon finale jury member, or mentor? Write to [quantumrit@msrit.edu](mailto:quantumrit@msrit.edu).

Hey everyone, I am an undergraduate student. I recently came across Quantum Non equilibrium dynamics and was fascinated by it. In order to do research and work in this field, what are the programming languages needed?

And what are the languages required and that you wished that you have learned sooner for theoretical physics?

Photons carry no charge, so a magnetic field does not deflect them.

On a lattice, a hopping charge is attach a phase to each hop; around a plaquette the phases add up to the enclosed flux.

Engineer those phases for light, and it circulates around loops, follows cyclotron-like orbits and travels one way along edges: a synthetic magnetic field for photons.

I made a short animated explainer of this idea, from the Aharonov–Bohm effect to photonic quantum-Hall edge states. Every animation is computed from the underlying model.

More on the channel

https://www.youtube.com/shorts/dqJiUbL5hHg

https://www.youtube.com/shorts/YtwylcUMghQ

Quantum physics has a screw with no moving parts. A particle sits in a chain of traps. Slowly change how deep the traps are and how strongly they are coupled, then bring every setting back:

the Hamiltonian is exactly the same as before, yet the particle has moved on by one cell. As long as the cycle is slow and the energy gap stays open, the step does not depend on the exact shape of the cycle, only on how it winds around the one point where the gap closes. That whole number is a topological invariant, the Chern number: go around once and the particle moves one cell, go the other way and it moves back, miss the point and it goes nowhere.

This is a Thouless pump, and physicists have built it from light, with ultracold atoms held in overlapping laser patterns.

Preferably in a way that makes sense

So as someone who's been a fan on the different interpretations of quantum studies and how weird our universe could be base on our new findings challenging our old assumption, I do wonder if in 2026 has there been new physically findings that may suggest potentially interacting or finding the Multiverse or at least a mechanic base on it? Not suggesting we open an inter-dimensional portal but just new findings.

Particularly any findings on the nature of quantum fields and time space and if suggest anything about the multiverse or any similar ideas. I'm not asking for philosophical arguments, just experimental findings.

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hello brother/sister

please i m looking to persue an M2 ( Master 2 ) in quantum computing or/and quantum information theory

please if you have any program suggestions of a master i would be deeply greatful if you share them with me in the comments

I already have an engineering degree .

I’m a beginner researcher exploring Quantum Machine Learning and Variational Quantum Circuits. What tools, workflows, or practical hacks have helped you identify genuine research gaps, understand complex papers, design experiments, and publish your first paper? What do you wish you had known when you started? I’d love to learn from your real experiences, including mistakes to avoid and underrated resources. Even one practical tip could make a huge difference in my research journey! ⚛️🔬

Hi everyone! 👋

I’m passionate about quantum physics and software development, and I’ve been consuming content on these topics for quite some time.

This curiosity led me to create a personal project: Genesis, a simulator that calculates atomic and subatomic physics in real-time on PC.

If anyone would like to test the simulator or discuss it, you can find it here: https://genesis.gemmi-e.com

im a larper. im a quantum larper or q-larper. I know a lot of the big theories and concepts and general ideas but i look at the math and i genuinely have a stroke

how do i stop larping quantum physics/mechanics and understand the math, what prior knowledge or base do i need cuz i cant comprehend SHIT

I have been going through the introductory IBM Quantum Learning course "Use a Quantum Computer Today", specifically the "Quantum Computing Context" lesson.

While the lesson covers optimization and mapping business constraints into quantum-ready formulations, Quantum-Inspired Optimization (QIO) as an active, standalone commercial model is not really clear or emphasized. The text frames computing as a binary between classical CPUs and hybrid QPU workflows, missing the middle layer of QIO. I only learned about how QIO operates in practice after searching for it by myself.

Through Quantum-Inspired Optimization (QIO), European companies like Multiverse Computing (based in San Sebastian, Spain) have built successful revenue-generating products using tensor networks and QUBO (Quadratic Unconstrained Binary Optimization) formulations on classical GPU clusters today. They deliver massive performance jumps for finance and logistics without requiring physical quantum hardware.

For those active in the industry, is Quantum-Inspired Optimization considered a fringe byproduct in the quantum community, or is it actually the primary working commercial standard today while we wait for fault-tolerant hardware? If QIO on classical GPUs is currently one of the main ways these mathematical formulations generate real enterprise value, why is it not highligthed as a working business model in this quantum learning intro?

Will this IBM Qsikit developer certification course be useful if QIO is what I want to do in the financial sector until quantum hardware becomes more stable?

Hello.

I thought I would ask for other peoples input on this topic as it is fairly subjective. I know that western quantum computing software companies can be quite strict with their approach to IP and sometimes refuse to hire Chinese or Russian nationals for this reason. I was wondering if having any experience at a company in China as European/US citizen would be seen as an issue when applying for western companies later in life ? Apologies, if this is a silly question.

This material covers the fundamental concepts of symmetries, conservation laws, constants of motion, and Noether's theorem in quantum mechanics, presenting detailed mathematical derivations and step-by-step examples accessible even to beginners.

While learning quantum computing with Qiskit, I wanted to make working with Bell states and analyzing CHSH inequality results a little more straightforward.

BellBox provides reusable functions for creating Bell states, changing measurement bases, analyzing quantum correlations, and calculating CHSH values, with tests and runnable examples.

It's not a replacement for Qiskit, just a small tool that makes these specific tasks easier to reuse.

PyPI: https://pypi.org/project/bellbox/
GitHub: https://github.com/BellBoxLabs/bellbox

I'd appreciate feedback from people working with quantum computing. What would make a tool like this more useful?