Join the U.S. National Science Foundation Mathematical and Physical Sciences Directorate and the United Kingdom Research and Innovation's (UKRI) Engineering and Physical Sciences Research Council to learn about the joint funding call supporting quantum information in chemical systems. Led by John…
A US startup called PSI (Physical Superintelligence), not to be confused with the Paul Scherrer Institute, says its AI system, running an unreleased Anthropic model, has proved the Aaronson-Ambainis conjecture, a problem in quantum computing theory that has been open…
Google DeepMind says its AI agents, working with human experts, found two weaknesses in legacy 1024-bit RSA encryption — in a matter of weeks. The announcement came on November 6 from Pushmeet Kohli, DeepMind's VP of Science. Before the headlines scare you:…
The setup was greedy decoding, up to 100 tokens, 520 instructions from AdvBench, everything served through the same llama.cpp binary. Four GGUF levels: Q8_0, Q5_K_M, Q4_K_M and Q2_K. Four 7B-class models (Llama-2-7B-Chat, Llama-3-8B-Instruct, Mistral-7B-Instruct-v0.2, Qwen2-7B-Instruct) plus five on-device models of 4B or fewer…
The core innovation of the VJqGD framework is its use of an exponentially annealed schedule for the deformation parameter, denoted as q. This mathematical formulation provides researchers with explicit control over the initial magnitude of the deformation and the rate at…
This article shares what I learned building and testing this pipeline: the self-supervised objectives that worked, the temporal pattern mining algorithms that surfaced interpretable coastal regimes, the quantum subroutines that showed promise, and the practical engineering lessons from stitching it…
A factorial study of 42 quantum algorithm variants finds that physics-informed initialization dramatically improves low-budget power grid scheduling but collapses under hardware noise unless paired with uniform mixer parameters. Article Title: Merit-Order State Preparation for Budget-Efficient MA-QAOA: A Factorial Study of…
A neural byte predictor emits 205 probabilities. Its arithmetic coder consumes eight conditional probabilities—one per visited bit. That interface creates a useful research question: which teacher differences does the downstream system actually observe? I traced the byte model in fx2-cmix-transformer…
If you're interested in combining your passion for physics with mathematics, computer science and engineering, the Master of Science in Computational Physics program at UAlbany is the ideal choice for you. Our program provides you with the skills and knowledge…
In January 2023 I wrote about optimizing decision-making with a trie. The idea worked in principle: part of it was implemented, and is still maintained, at Pictet Tech. The numbers looked great, as you can see in my previous post. So…
Where quantum computing meets AI: quantum machine learning, AI for quantum error correction, hybrid quantum-classical systems and the hardware race between them.
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