All categories
Testing & QA
Unit tests, integration tests, E2E, QA, validation, and test automation
- 31,543
- 1,315
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 testing & qa skills
Showing 5,905–5,928 of 31,543 skills
- Naimark Qnn Measurement CircuitsQuantum measurement circuit design comparing Naimark extension, hybrid Naimark-QNN, and fully QNN approaches for optimal state discrimination with fewer training iterations.Votes: 0GitHub stars: 3
- Mpe Adam Qaoa OptimizationMPE-Adam methodology — multi-population evolutionary search with Adam refinement for QAOA parameter optimization. Use when optimizing variational quantum algorithm parameters, addressing barren plateaus, or designing hybrid quantum-classical optimization workflows.Votes: 0GitHub stars: 3
- Intervention Aware Quantum Predictive ControlIntervention-Aware Variational Quantum Differentiable Predictive Control (IA-VQC-DPC) methodology for safe quantum policy learning with safety attribution.Votes: 0GitHub stars: 3
- Hybrid Qnz Zero Noise ExtrapolationHybrid Gaussian-exponential zero-noise extrapolation methodology for periodic quantum circuits. Uses CLT on Pauli operator transfer to model noise amplification as log-normal, augmenting standard exponential model with Gaussian variance corrections. Applicable to NISQ error mitigation.Votes: 0GitHub stars: 3
- Hqnn Expressibility Trainability NasMulti-objective neural architecture search (NAS) framework for hybrid quantum neural networks that jointly optimizes expressibility, trainability, and task performance across a combined classical-quantum design space. Reveals how classical components reshape optimization landscape, decoupling trainability from PQC expressibility.Votes: 0GitHub stars: 3
- Girsanov Quantum ControlGirsanov's theorem path-space regularization methodology for robust open quantum control. Bridges stochastic calculus (Girsanov theorem) with quantum optimal control, penalizing observable consequences of control on decoherence channels rather than control amplitude. Applicable to quantum control, stochastic control, RL.Votes: 0GitHub stars: 3
- Generalized Bicycle Qec AutomorphismAlgebraic framework for analyzing and engineering automorphisms in Generalized Bicycle (GB) quantum error-correcting codes. Enables deterministic search for block-separable automorphisms (cyclic shifts, ring automorphisms, block-swaps) and fold-transversal gate implementation. Introduces Maximal Cube Root (MCR) code family for automorphism-rich QEC codes.Votes: 0GitHub stars: 3
- Gaussian Exponential Zero Noise ExtrapolationHybrid Gaussian-exponential zero-noise extrapolation methodology for periodic quantum circuits — combines Gaussian and exponential error models for more accurate expectation value estimation in NISQ-era quantum computing.Votes: 0GitHub stars: 3
- Entanglement Manipulation RobustnessRobustness of Entanglement Manipulation for almost i.i.d. sources - methodology for quant-ph applicationsVotes: 0GitHub stars: 3
- Digital Quantum Reservoir Computing FinanceDigital quantum reservoir computing (QRC) methodology for financial time series forecasting on NISQ devices. Uses parametrized multi-qubit reservoirs with fixed structure for temporal data processing.Votes: 0GitHub stars: 3
- Dft Embedded Quantum ChemistryDFT-embedded quantum-selected configuration interaction methodology for accurate large-scale electronic structure calculations on quantum computers. Bridges quantum active space treatment with classical wave-function methods using Manby projection technique. Achieved ~1 kcal/mol accuracy on 144-qubit hardware.Votes: 0GitHub stars: 3
- Decoded Quantum Interferometry Bounded DegreeComplexity-theoretic benchmark for decoded quantum interferometry (DQI), QAOA, and classical heuristics on bounded-degree max-Ek-LINSAT. Extends NP-hardness to arbitrary finite fields F_q with bounded degree D, proving hardness to exceed r/q + O(1/sqrt(D)). Identifies 1/sqrt(D log D) classical decoder barrier vs. 1/sqrt(D) quantum decoder scaling. arXiv: 2606.13570Votes: 0GitHub stars: 3
- Decoded Quantum Interferometry Beyond HammingDecoded Quantum Interferometry (DQI) extended beyond Hamming space to translation association schemes for structured optimization on finite geometries.Votes: 0GitHub stars: 3
- Clt Sanov Qnn MoeCentral Limit Theorem and Sanov's principle for Quantum Neural Network Mixture of Experts (QNN-MoE) — statistical mechanics framework for analyzing parameter fluctuations, convergence, and neural tangent kernel dynamics in quantum neural network ensembles.Votes: 0GitHub stars: 3
- Quantum Reservoir Neurodynamical ForecastingQuantum Reservoir Computing (QRC) methodology for neurodynamical forecasting using transverse-field Ising model, heterogeneous quantum measurements, and polynomial ridge regression. Applied to EEG-like data with parallel reservoir architecture.Votes: 0GitHub stars: 3
- Ptq4snn Membrane Aware Post Training QuantizationPTQ4SNN: joint weight and membrane quantization for SNNs.Votes: 0GitHub stars: 3
- Sum Of Hermitian Squares Pauli ConvergenceExplicit convergence rates for Sum-of-Hermitian-Squares hierarchies over the Pauli algebra, enabling accuracy guarantees for noncommutative polynomial optimization in quantum theory.Votes: 0GitHub stars: 3
- Rts Neural Physics Ode LearningHybrid neural-physics framework for learning unknown components of ODEs using Rauch-Tung-Striebel smoother and neural networksVotes: 0GitHub stars: 3
- Physics Guided Neural NetworkDesign neural networks that embed physical constraints (equations, symmetries, conservation laws) directly into the computational graph. Use when modeling physical systems, scientific computing, or when physics-informed AI is needed. Keywords: PGNN, physics-guided NN, physics-informed ML, physics-embedded NN, scientific ML, holographic QCD, AdS Dirac equation.Votes: 0GitHub stars: 3
- Non Invertible Topological Order AnalysisAnalysis methodology for non-invertible symmetry enriched topological orders (NI-SETO) using unitary fusion categories and anyon condensation. Combines category theory, topological quantum field theory, and string net models for quantum computing research.Votes: 0GitHub stars: 3
- Istar Algebraic Collapse IsingiSTAR methodology exploiting algebraic collapse in continuous Ising solvers — detects stabilized coordinates during late-stage simulated bifurcation and eliminates them via variational frozen-set identity, removing 64%+ of dense interaction work.Votes: 0GitHub stars: 3
- Graph Based Correlation Matrix GenerationGraph-Based Correlation Matrix Generation using convex optimization for controlled sparsity and mean off-diagonal values. Use when generating realistic correlation matrices for neuroscience, finance, or other domains requiring graph-structured correlations with specific statistical properties.Votes: 0GitHub stars: 3
- Fermionic Non Gaussianity Bell SamplingMonotones and efficient quantum algorithms for fermionic non-Gaussianity via Bell sampling. Quantifies non-Gaussianity resources for fermionic quantum computation platforms. Activation: fermionic quantum computing, Bell sampling, non-Gaussianity monotones, covariance operator, fermionic algorithms.Votes: 0GitHub stars: 3
- Anncrips Artificial Neural Networks For Cancer Research In Prediction Survival**arXiv ID:** 2309.15803 **Authors:** Amit Mathapati **Published:** 2023-09-26T08:11:35Z **Abstract:** Prostate cancer is a prevalent malignancy among men aged 50 and older. Current diagnostic methods primarily rely on blood tests, PSA:Prostate-Specific Antigen levels, and Digital Rectal Examinations (DRE). However, these methods suffer from a significant rate of false positive results. This study focuses on the development and validation of an intelligent mathematical model utilizing Artific...Votes: 0GitHub stars: 3