All categories
Code Review & Quality
Code review, refactoring, debugging, maintainability, and engineering quality
- 16,459
- 686
Security grades appear on each card once the skill has been scanned. Newly imported skills may briefly show without a grade until the backfill job runs.
Open in full browserBrowse code review & quality skills
Showing 8,785–8,808 of 16,459 skills
- Quantum Program LintingLLM-powered static analysis and linting for quantum programs. Use when: (1) analyzing quantum circuits for correctness and optimization opportunities, (2) detecting anti-patterns in quantum code (Qiskit, Cirq, Pennylane), (3) improving quantum program quality through automated review, (4) validating quantum algorithms before execution on hardware. Covers LLM-based linting rules, quantum circuit analysis, and best practices for quantum software engineering.Votes: 0GitHub stars: 3
- Quantum Program AnalysisLLM-powered analysis and quality assurance for quantum programs. Use when: (1) linting quantum circuits/programs beyond simple rule checks, (2) analyzing quantum algorithm correctness and optimization opportunities, (3) evaluating quantum program performance under noise models, (4) benchmarking quantum primitives under hardware-motivated noise, (5) distributed quantum algorithm compilation and analysis. Covers LLM-based quantum linting, FTPrimitiveBench noise benchmarking, and topological qua...Votes: 0GitHub stars: 3
- Quantum Neuromorphic Superconducting CircuitsFramework for implementing quantum neuromorphic computing using superconducting circuits, combining quantum coherence with neural dynamics for enhanced computational capabilities.Votes: 0GitHub stars: 3
- Quantum Maxcut Rydberg ApproximationHybrid approximation algorithm for Quantum Max Cut using Rydberg atom dynamics combined with semidefinite programming and randomized rounding, achieving 0.651 approximation ratio.Votes: 0GitHub stars: 3
- Quantum Linear System Beyond ConditionQuantum linear system solvers with complexity independent of the condition number, using block encoding input model for Ax=b solutions.Votes: 0GitHub stars: 3
- Quantum Inspired Harmonic DecisionQuantum-inspired computational framework for harmonic decision-making in music generation. Combines interference-based harmonization with classical tonal optimization to explore multiple chord sequences in parallel. Use when: music generation with quantum-inspired methods, harmonic optimization, interference-based search in creative domains, quantum cognition models for creative systems.Votes: 0GitHub stars: 3
- Quantum Entanglement Pet ImagingFirst-in-human quantum entanglement imaging using J-PET plastic scintillator scanner for PET + entanglement degree tomography. Exploits polarization correlations of annihilation photons for enhanced diagnostics. Use when building quantum-enhanced PET imaging systems, polarization-correlated tomography, or entanglement-based biomarker analysis. Activation: quantum entanglement imaging, J-PET, plastic scintillator PET, polarization-correlated tomography, entanglement degree biomarker, 68Ga quan...Votes: 0GitHub stars: 3
- Penalty Free Quantum OptimizationPenalty-free quantum optimization methodology — replacing quadratic penalty terms in QAOA/quantum annealing with conflict graph reformulation and independent set mixers. Maps constrained combinatorial problems to maximum independent set (MIS) on conflict graphs, using MIS-specific mixer Hamiltonians that preserve feasibility throughout the quantum evolution. Eliminates penalty parameter tuning entirely. Applicable to protein folding, scheduling, graph coloring, and any problem with hard struc...Votes: 0GitHub stars: 3
- Mbse Quantum Network ArchitectureModel-Based Systems Engineering (MBSE) methodology for evolving quantum network architectures. Uses Orthogonal Variability Modeling (OVM) and SysML for traceable, modular quantum system design.Votes: 0GitHub stars: 3
- Llm Agentic Quantum Application GenerationMulti-agent LLM architecture (QPipe) that autonomously converts natural language requirements into executable quantum application workflows through specialized agents for requirement parsing, formulation, code generation, review, execution, and verification.Votes: 0GitHub stars: 3
- Hardware Safety Gated Llm Quantum ControlControl system architecture for LLM-written experimental control code on quantum hardware, enforcing formal per-operation safety boundaries between human authorization and autonomous agent decisions.Votes: 0GitHub stars: 3
- Feynmans Clock Quantum Error MitigationQuantum error mitigation using Feynman's clock Hamiltonian mapped to BBGKY hierarchy — extends BBGKY-ISM scheme from spin chains to arbitrary quantum circuits with polynomial overhead in circuit size and qubit count.Votes: 0GitHub stars: 3
- Distributed Quantum Fourier TransformDistributed Quantum Fourier Transform (QFT) circuit optimization — circuit partitioning for distributed quantum systems using teleportation to minimize e-bit consumption.Votes: 0GitHub stars: 3
- Many Hamiltonian SparsifiableHamiltonian sparsification methodology showing that many quantum Hamiltonians can be reduced to significantly fewer terms while preserving system behavior for all states. Use when optimizing quantum simulations, reducing circuit depth, or simplifying Hamiltonians.Votes: 0GitHub stars: 3
- Ifclora Topology Aware Rank AllocationIFCLoRA framework for topology-aware rank allocation in parameter-efficient fine-tuning, dynamically allocating LoRA ranks based on model architecture topology and task requirements.Votes: 0GitHub stars: 3
- Hamiltonian Complexity StoquasticHamiltonian complexity analysis methodology for stoquastic sparse Hamiltonians. Covers StoqMA complexity class, quantum complexity classification, and sparse Hamiltonian analysis. Activation: stoquastic Hamiltonian, Hamiltonian complexity, StoqMA, quantum complexity classVotes: 0GitHub stars: 3
- Arxiv 2608 19965 Flow Matching Meets 3d Curvilinear Structure SegmeFlow Matching Meets 3D Curvilinear Structure Segmentation in Medical Imaging (arXiv: 2608.19965)Votes: 0GitHub stars: 3
- Tribev2 Brain Foundation ModelTRIBE v2 tri-modal foundation model for in-situ fMRI brain-to-image decoding with synthetic data augmentation. Addresses low-data regime challenges in brain decoding.Votes: 0GitHub stars: 3
- Towards Machine Intelligence**arXiv ID:** 1603.08262 **Authors:** Kamil Rocki **Published:** 2016-03-27T22:01:59Z **Abstract:** There exists a theory of a single general-purpose learning algorithm which could explain the principles of its operation. This theory assumes that the brain has some initial rough architecture, a small library of simple innate circuits which are prewired at birth and proposes that all significant mental algorithms can be learned. Given current understanding and observations, this paper reviews ...Votes: 0GitHub stars: 3
- Tile Code Planar ArchitecturesStrictly local tile-code architectures for quantum error correction on 2D planar lattices. Tile codes are planar qLDPC codes with weight-6 stabilizers and open boundary conditions, offering up to 4x encoding efficiency vs. surface code. Uses SWAP-based routing schemes for syndrome extraction with nearest-neighbor interactions only, matching surface code connectivity. Activation: tile code architecture, planar qLDPC codes, SWAP routing syndrome extraction, quantum error correction architecture...Votes: 0GitHub stars: 3
- Semidefinite Certificates Pauli HamiltoniansQuantitative semidefinite programming certificates for ground-state energies of Pauli Hamiltonians — explicit finite-level convergence rates for SDP hierarchies in quantum many-body systems. For quantum complexity, optimization, and verification.Votes: 0GitHub stars: 3
- Scalable Perturbation Learning EsnScalable Perturbation Learning for Online Self-Supervised Echo State Networks - orthogonal decomposition reduces perturbation dimension from reservoir to input dimension, enabling scalable hardware-compatible online learningVotes: 0GitHub stars: 3
- Samplebased Dynamic Hierarchical Transformer With Layer And Head Flexibility Via Contextual Bandit**arXiv ID:** 2312.03038 **Authors:** Fanfei Meng, Lele Zhang, Yu Chen, Yuxin Wang **Published:** 2023-12-05T15:04:11Z **Abstract:** Transformer requires a fixed number of layers and heads which makes them inflexible to the complexity of individual samples and expensive in training and inference. To address this, we propose a sample-based Dynamic Hierarchical Transformer (DHT) model whose layers and heads can be dynamically configured with single data samples via solving contextual bandit pro...Votes: 0GitHub stars: 3
- React ComponentsExpert guidance for React component architecture, maintainability, and best practices. Use when building React components, reviewing component structure, optimizing component performance, or working with React hooks. Triggers on: react component, component architecture, react best practices, component size, react hooks.Votes: 0GitHub stars: 3