at first reading this i thought of the wavefunction in quantum mechanics and i stared at this post for like 15 seconds trying to figure out what the word "audacity" means in that context before it clicked
November 9, 2026 at 6:32 AM
at first reading this i thought of the wavefunction in quantum mechanics and i stared at this post for like 15 seconds trying to figure out what the word "audacity" means in that context before it clicked
Quantum Bayesianism would be the worst: my honest prior is just the wavefunction over my possible brains, it only works if each one holds rigidly to its beliefs and then we just see which universe survives - sorry, you're stuck in the universe with this particular one.
November 8, 2026 at 5:11 PM
Quantum Bayesianism would be the worst: my honest prior is just the wavefunction over my possible brains, it only works if each one holds rigidly to its beliefs and then we just see which universe survives - sorry, you're stuck in the universe with this particular one.
November 5, 2026 at 3:15 PM
Tai Hyun Yoon
Quantum Relative Entropy and Information Flux Resolve Wavefunction Collapse in Spacelike-Separated QED Waveguides
https://arxiv.org/abs/2611.08000
Quantum Relative Entropy and Information Flux Resolve Wavefunction Collapse in Spacelike-Separated QED Waveguides
https://arxiv.org/abs/2611.08000
November 7, 2026 at 10:28 AM
Tai Hyun Yoon
Quantum Relative Entropy and Information Flux Resolve Wavefunction Collapse in Spacelike-Separated QED Waveguides
https://arxiv.org/abs/2611.08000
Quantum Relative Entropy and Information Flux Resolve Wavefunction Collapse in Spacelike-Separated QED Waveguides
https://arxiv.org/abs/2611.08000
Quantum Relative Entropy and Information Flux Resolve Wavefunction Collapse in Spacelike-Separated QED Waveguides
https://arxiv.org/pdf/2611.08000
Tai Hyun Yoon.
https://arxiv.org/pdf/2611.08000
Tai Hyun Yoon.
https://arxiv.org/abs/2611.08000
arXiv abstract link
arxiv.org
November 8, 2026 at 12:15 PM
Quantum Relative Entropy and Information Flux Resolve Wavefunction Collapse in Spacelike-Separated QED Waveguides
https://arxiv.org/pdf/2611.08000
Tai Hyun Yoon.
https://arxiv.org/pdf/2611.08000
Tai Hyun Yoon.
Quantum relative entropy governs energy-information flux across causal boundaries, enabling exact resolution of wavefunction collapse without superluminal signaling using coherently seeded entangled photonic sources. Unifies AQFT and waveguide QED.
#QuantumInformation #PhotonicQuantum #Research
#QuantumInformation #PhotonicQuantum #Research
Quantum Relative Entropy and Information Flux Resolve Wavefunction Collapse in QED Waveguides
arxiv.org
November 6, 2026 at 5:30 AM
Quantum relative entropy governs energy-information flux across causal boundaries, enabling exact resolution of wavefunction collapse without superluminal signaling using coherently seeded entangled photonic sources. Unifies AQFT and waveguide QED.
#QuantumInformation #PhotonicQuantum #Research
#QuantumInformation #PhotonicQuantum #Research
Machine Learning the Complete Active-Space Wavefunction Reconstruction https://arxiv.org/abs/2611.06779
November 5, 2026 at 5:10 AM
Machine Learning the Complete Active-Space Wavefunction Reconstruction https://arxiv.org/abs/2611.06779
Tai Hyun Yoon: Quantum Relative Entropy and Information Flux Resolve Wavefunction Collapse in Spacelike-Separated QED Waveguides https://arxiv.org/abs/2611.08000 https://arxiv.org/pdf/2611.08000 https://arxiv.org/html/2611.08000
November 6, 2026 at 7:00 AM
Tai Hyun Yoon: Quantum Relative Entropy and Information Flux Resolve Wavefunction Collapse in Spacelike-Separated QED Waveguides https://arxiv.org/abs/2611.08000 https://arxiv.org/pdf/2611.08000 https://arxiv.org/html/2611.08000
Researchers compute graphene monolayer and nanoribbon band structures using VQE/VQD on IBM Quantum processors, demonstrating controlled baselines for studying topological phases while characterizing NISQ noise limitations and wavefunction quality.
#QuantumSimulation #VariationalAlgorithms #Research
#QuantumSimulation #VariationalAlgorithms #Research
Graphene Band Structure via Variational Quantum Algorithms on NISQ Hardware
arxiv.org
November 4, 2026 at 6:55 AM
Researchers compute graphene monolayer and nanoribbon band structures using VQE/VQD on IBM Quantum processors, demonstrating controlled baselines for studying topological phases while characterizing NISQ noise limitations and wavefunction quality.
#QuantumSimulation #VariationalAlgorithms #Research
#QuantumSimulation #VariationalAlgorithms #Research
Your 4D atom: a burning nucleus wrapped in cyan and amber orbital clouds, sliced from a wavefunction turning through w, so the lobes fold and swap as you circle.
“Orbitals Turning Through the Fourth” → world2.anthonybecker.me/?cell=7,4
“Orbitals Turning Through the Fourth” → world2.anthonybecker.me/?cell=7,4
November 3, 2026 at 2:53 AM
Your 4D atom: a burning nucleus wrapped in cyan and amber orbital clouds, sliced from a wavefunction turning through w, so the lobes fold and swap as you circle.
“Orbitals Turning Through the Fourth” → world2.anthonybecker.me/?cell=7,4
“Orbitals Turning Through the Fourth” → world2.anthonybecker.me/?cell=7,4
(Because they must know darn well they are merely making phase-locked oscillators and that the circuits are actually time-bound by the speed of signal propagation between components. Also that one need not fear ‘collapsing the wavefunction’. They must know you can make the same circuit much more […]
Original post on masto.ai
masto.ai
November 7, 2026 at 7:10 PM
(Because they must know darn well they are merely making phase-locked oscillators and that the circuits are actually time-bound by the speed of signal propagation between components. Also that one need not fear ‘collapsing the wavefunction’. They must know you can make the same circuit much more […]
Aniruddha Seal, Bhavnesh Jangid, Helen S. Clifford, Andrew L. Ferguson, Laura Gagliardi: Machine Learning the Complete Active-Space Wavefunction Reconstruction https://arxiv.org/abs/2611.06779 https://arxiv.org/pdf/2611.06779 https://arxiv.org/html/2611.06779
November 5, 2026 at 6:56 AM
Aniruddha Seal, Bhavnesh Jangid, Helen S. Clifford, Andrew L. Ferguson, Laura Gagliardi: Machine Learning the Complete Active-Space Wavefunction Reconstruction https://arxiv.org/abs/2611.06779 https://arxiv.org/pdf/2611.06779 https://arxiv.org/html/2611.06779
A particle in the quantum world doesn't follow a simple, predictable path. Its wavefunction evolves with time, and one equation tells us how that evolution happens.
![Infographic titled The Time-Dependent Schrödinger Equation: How energy becomes a rule for quantum motion. It shows Planck's relation E = hf = ħω, a travelling wave ψ(x,t) = Ae^{i(kx−ωt)}, a plot of a wave packet ψ over a potential V(x), the time derivative and energy operator steps, and the combined equation iħ ∂ψ/∂t = [−(ħ²/2m)∂²/∂x² + V(x)]ψ.](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:7frfcsdgjma2umcpwjmfhbqc/bafkreidhefwpwleareqa46fqzxuztsfyfa4l3hhdbva6xxtbwhuroxfjeu)
November 5, 2026 at 3:13 AM
A particle in the quantum world doesn't follow a simple, predictable path. Its wavefunction evolves with time, and one equation tells us how that evolution happens.
In 1926, Erwin Schrödinger introduced the equation that changed our understanding of the microscopic world: iħ ∂ψ/∂t = [−(ħ²/2m)∂²/∂x² + V(x)]ψ. It connects a particle's kinetic and potential energy to the way its wavefunction changes.
November 5, 2026 at 3:13 AM
In 1926, Erwin Schrödinger introduced the equation that changed our understanding of the microscopic world: iħ ∂ψ/∂t = [−(ħ²/2m)∂²/∂x² + V(x)]ψ. It connects a particle's kinetic and potential energy to the way its wavefunction changes.
A new article demonstrates a scalable hybrid quantum-classical approach in which machine learning compresses quantum measurement data to accelerate wavefunction-overlap calculations in quantum Monte Carlo.
arxiv.org/abs/2611.08151
arxiv.org/abs/2611.08151
Machine learning quantum data to accelerate quantum Monte Carlo
Simulating strongly correlated electrons in molecules and materials remains a central goal for quantum computing. A promising strategy uses quantum processors to prepare trial wavefunctions that guide...
arxiv.org
November 6, 2026 at 1:49 PM
A new article demonstrates a scalable hybrid quantum-classical approach in which machine learning compresses quantum measurement data to accelerate wavefunction-overlap calculations in quantum Monte Carlo.
arxiv.org/abs/2611.08151
arxiv.org/abs/2611.08151
Band structure of two-dimensional graphene and of one-dimensional nanoribbons via variational quantum algorithms: from energies to wavefunction quality
https://arxiv.org/pdf/2611.04975
Raúl Medrano Millán, Rodrigo Gil-Merino y Rubio, Juan Borge, Unai Aseguinolaza Aguirreche.
https://arxiv.org/pdf/2611.04975
Raúl Medrano Millán, Rodrigo Gil-Merino y Rubio, Juan Borge, Unai Aseguinolaza Aguirreche.
https://arxiv.org/abs/2611.04975
arXiv abstract link
arxiv.org
November 4, 2026 at 9:30 AM
Band structure of two-dimensional graphene and of one-dimensional nanoribbons via variational quantum algorithms: from energies to wavefunction quality
https://arxiv.org/pdf/2611.04975
Raúl Medrano Millán, Rodrigo Gil-Merino y Rubio, Juan Borge, Unai Aseguinolaza Aguirreche.
https://arxiv.org/pdf/2611.04975
Raúl Medrano Millán, Rodrigo Gil-Merino y Rubio, Juan Borge, Unai Aseguinolaza Aguirreche.
Introduces QUPID algorithm using Husimi representation to identify classical chaos signatures in quantum wavefunction dynamics. Demonstrates excellent classical-quantum correspondence in semiclassical limit across autonomous and time-periodic systems.
#QuantumChaos #QuantumDynamics #Research
#QuantumChaos #QuantumDynamics #Research
Quantum Pointwise Dimension: Algorithm for Identifying Classical Chaos in Quantum Dynamics
arxiv.org
November 4, 2026 at 5:47 AM
Introduces QUPID algorithm using Husimi representation to identify classical chaos signatures in quantum wavefunction dynamics. Demonstrates excellent classical-quantum correspondence in semiclassical limit across autonomous and time-periodic systems.
#QuantumChaos #QuantumDynamics #Research
#QuantumChaos #QuantumDynamics #Research
📢Work from @franknoe.bsky.social and colleagues introduces a transferable DL quantum Monte Carlo approach for molecular excited states, representing the wave function across geometries and states and reducing the cost of modeling PESs. www.nature.com/articles/s43... #chemsky 🔓
Ab initio simulation of excited-state potential energy surfaces with transferable deep quantum Monte Carlo - Nature Computational Science
Transferable deep-learning quantum Monte Carlo for molecular excited states is introduced. Sharing parameters, an ansatz represents the wavefunction across molecular geometries and states, reducing th...
www.nature.com
November 6, 2026 at 8:29 PM
📢Work from @franknoe.bsky.social and colleagues introduces a transferable DL quantum Monte Carlo approach for molecular excited states, representing the wave function across geometries and states and reducing the cost of modeling PESs. www.nature.com/articles/s43... #chemsky 🔓
Density Functional Theory reformulates the quantum-mechanical many-electron problem in terms of the three-dimensional electron density ρ(r) rather than a high-dimensional wavefunction. The Hohenberg–Kohn theorems guarantee that this density uniquely determines all ground-state properties.
October 31, 2026 at 4:55 PM
Density Functional Theory reformulates the quantum-mechanical many-electron problem in terms of the three-dimensional electron density ρ(r) rather than a high-dimensional wavefunction. The Hohenberg–Kohn theorems guarantee that this density uniquely determines all ground-state properties.
Elliptic master integrals and the one-loop cosmological wavefunction. Amara McCune et. al. https://arxiv.org/abs/2610.38725
October 31, 2026 at 4:32 AM
Elliptic master integrals and the one-loop cosmological wavefunction. Amara McCune et. al. https://arxiv.org/abs/2610.38725
First: static correlation. When orbitals are nearly degenerate, one Slater determinant is not enough. Bond breaking, open shells, transition metals, avoided crossings: the wavefunction must mix several important configurations.
October 31, 2026 at 2:15 PM
First: static correlation. When orbitals are nearly degenerate, one Slater determinant is not enough. Bond breaking, open shells, transition metals, avoided crossings: the wavefunction must mix several important configurations.
Researchers developed new mathematical methods to compare quantum systems by analyzing wavefunction overlap, spatial distribution, and excited-state nodes. Key achievement: improved Hulthén potential screening parameter bounds by ~15%, enabling more precise predictions of quan...
Advanced Mathematical Framework for Comparing Quantum System Eigenstates and Wavefunctions
quantumzeitgeist.com
October 31, 2026 at 4:57 PM
Researchers developed new mathematical methods to compare quantum systems by analyzing wavefunction overlap, spatial distribution, and excited-state nodes. Key achievement: improved Hulthén potential screening parameter bounds by ~15%, enabling more precise predictions of quan...
Researchers developed new mathematical methods to compare quantum systems by analyzing wavefunction overlap, spatial distribution, and excited-state nodes. Key achievement: improved Hulthén potential screening parameter bounds by ~15%, enabling more precise predictions of quan...
Advanced Mathematical Framework for Comparing Quantum System Eigenstates and Wavefunctions
quantumzeitgeist.com
October 31, 2026 at 4:57 PM
Researchers developed new mathematical methods to compare quantum systems by analyzing wavefunction overlap, spatial distribution, and excited-state nodes. Key achievement: improved Hulthén potential screening parameter bounds by ~15%, enabling more precise predictions of quan...
Amara McCune, Matthew D. Schwartz: Elliptic master integrals and the one-loop cosmological wavefunction https://arxiv.org/abs/2610.38725 https://arxiv.org/pdf/2610.38725 https://arxiv.org/html/2610.38725
October 30, 2026 at 6:54 AM
Amara McCune, Matthew D. Schwartz: Elliptic master integrals and the one-loop cosmological wavefunction https://arxiv.org/abs/2610.38725 https://arxiv.org/pdf/2610.38725 https://arxiv.org/html/2610.38725