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Release: datasette-enrichments-llm 0.2a0 This plugin now uses datasette-llm to configure and manage models. This means it's possible to specify which models should be made available for enrichments, u…

Release: datasette-llm-usage 0.2a0 Removed features relating to allowances and estimated pricing. These are now the domain of datasette-llm-accountant . Now depends on datasette-llm for model configur…

Release: datasette-llm 0.1a5 The llm_prompt_context() plugin hook wrapper mechanism now tracks prompts executed within a chain as well as one-off prompts, which means it can be used to track tool call…

I want to argue that AI models will write good code because of economic incentives. Good code is cheaper to generate and maintain. Competition is high between the AI models right now, and the ones tha…

Generating hybrid entanglement between a qubit and squeezed multi-photon states has remained largely unexplored. This protocol reliably creates entanglement, moving beyond limitations of previous appr…

Local robust shadows on a trapped ion computer, a case study Achieving 96% fidelity in a shadow protocol represents a new balance between speed and accuracy in quantum computation. This work implement…

Until now, materials have concealed their chiral electronic band topologies from direct observation. This work reveals an integer-quantized response to light’s chirality, linking a material’s internal…

Modeling Quantum Optomechanical STIRAP A single quantum vibration can now be linked to another, creating entanglement even when starting from a defined energy state and a continuous wave of energy. Th…

Before this work, assessing whether a quantum embedding correctly separated data groups was essentially a matter of trust. Now, a new protocol allows independent verification of these mappings, even w…

Three qubits per spin is now sufficient to represent a parity Hamiltonian on a quantum annealer, a reduction from previous embedding schemes. This advance unlocks the potential implementation of the S…

Invariant measures of randomized quantum trajectories Until now, randomised quantum trajectories were generally neither φ-irreducible nor contracting, hindering predictable outcomes in quantum experim…

For a fixed number of configurations, representing quantum states becomes less accurate as their non-stabilizerness increases. This demonstrates a clear limit to how well restricted Boltzmann machines…

Optimisation algorithms typically treat parameters as flat variables, yet real-world problems often exist on complex, curved spaces. Quantum Riemannian Hamiltonian Descent achieves a convergence time …

A narrowing of probability distributions by up to twenty per cent reveals a more precise method for measuring when a quantum particle first arrives at a detector. Previously, calculations assumed each…

Lindbladian simulation now requires only O(√N) Trotter steps, a cubic improvement over previous analyses. This advance stems from newly derived commutator-based error bounds, offering a more efficient…

Equilibration times within chaotic systems unexpectedly diminish with scale, vanishing entirely as system size increases. This analytical prediction, derived for the Gaussian Unitary Ensemble, reveals…

For decades, physicists grappled with unstable descriptions of matter at relativistic speeds, relying on a ‘Hole theory’ increasingly at odds with observation. Now, a re-examination of work between 19…

Written by: Austin Larsen, Dima Lenz, Adrian Hernandez, Tyler McLellan, Christopher Gardner, Ashley Zaya, Michael Rudden Introduction Google Threat Intelligence Group (GTIG) is tracking an active soft…

TeamPCP continues its string of supply chain attacks, and announces a partnership with Vect ransomware group. The post Weaponizing the Protectors: TeamPCP’s Multi-Stage Supply Chain Attack on Security…

Why Remote Access to Industrial Operations Is the Biggest Unmanaged Risk Remote access has become one of the largest unmanaged attack surfaces in industrial operations. Legacy VPNs and jump servers ex…