unitarylab
@unitarylab Organization
Public Skills
pennylane
by unitarylab
PennyLane - A versatile quantum machine learning library that supports hybrid quantum-classical computations.
qfi
by unitarylab
Compute the Quantum Fisher Information (QFI) matrix for a pure parameterized quantum state using the Quantum Geometric Tensor (QGT). Extracts the real part of the QGT and scales it by 4.
linear-combination
by unitarylab
Analytic quantum gradient and Quantum Geometric Tensor (QGT) estimation via linear combination of unitaries (LCU). Supports Estimator (expectation value gradients), Sampler (probability distribution gradients), and QGT primitives with configurable derivative types.
parameter-shift
by unitarylab
Analytic quantum gradient estimation via the parameter shift rule. Supports both Estimator (expectation value gradients) and Sampler (probability distribution gradients) primitives. Requires circuits composed exclusively of supported gate types.
quantum-skills
by unitarylab
Root entrypoint for the quantum-skills package. Use this skill to route requests to the correct simulator or algorithm sub-skill, enforce full skill-chain reading before coding, and avoid duplicating implementation details that are already defined in leaf skills.
quantum-error-correction
by unitarylab
A clear and practical skill guide for learning and running a PennyLane-based qLDPC tutorial, from classical LDPC basics to CSS and Hypergraph Product code construction.
vqd
by unitarylab
Variational Quantum Deflation (VQD) eigensolver for computing the lowest excited states of a quantum operator with Qiskit primitives.
algorithms
by unitarylab
A top-level index of quantum algorithms centered on the UnitaryLab implementation, covering quantum primitives, linear systems, cryptography, Hamiltonian simulation, Schrodingerization, quantum machine learning, eigensolvers, gradients, and quantum error correction, with selected Qiskit, PennyLane, and Classiq examples included as reference extensions.
eigensolvers
by unitarylab
Quantum eigensolver algorithms for operator spectrum estimation, covering exact classical diagonalization with NumPyEigensolver and variational excited-state solving with VQD.
numpy-minimum-eigensolver
by unitarylab
NumPyMinimumEigensolver skill for deterministic minimum-eigenvalue computation in qiskit_algorithms.minimum_eigensolvers.
numyeigensolver
by unitarylab
Exact classical eigensolver for quantum operators using NumPy and SciPy backends, with optional auxiliary operator evaluation and eigenpair filtering.
gradients
by unitarylab
Master routing guide for all quantum gradient and geometric tensor methods in this folder. Read this file first, then follow the leaf skill for the chosen method.
finite-difference
by unitarylab
Quantum gradient estimation via finite difference method. Supports both Estimator (expectation value gradients) and Sampler (probability distribution gradients) primitives with central, forward, and backward difference schemes.
reverse
by unitarylab
Reverse-mode statevector gradient and QGT computation for parameterized circuits using Qiskit Algorithms classes ReverseEstimatorGradient and ReverseQGT.
spsa
by unitarylab
Concise guide to the local SPSA estimator and sampler gradient implementations for parameterized quantum circuits.
quantum-fourier-transform
by unitarylab
Skill for implementing and using the Quantum Fourier Transform (QFT) via the PennyLane QFT operation. Covers circuit construction, gate decomposition, matrix access, adjoint (inverse QFT), and integration into larger circuits such as QPE and Shor's algorithm.
backward-heat-1d-schrodingerization
by unitarylab
A Schrödingerization-based solver for the 1D backward heat equation, addressing its ill-posed nature by transforming unstable exponential growth into a structured evolution system. Supports classical matrix methods and quantum-inspired Trotter simulation.
advection-schrodingerization
by unitarylab
A Schrödingerization-based solver for the 1D advection equation, supporting both direct unitary evolution (under periodic and central difference discretization) and general transformation for non-unitary cases. Enables classical and quantum simulation through Hamiltonian formulation.
heat-1d-schrodingerization
by unitarylab
A quantum-compatible solver for the 1D Heat Equation using Schrödingerization to transform the non-unitary diffusion equation into a unitary evolution problem. Supports Dirichlet and periodic boundary conditions, source terms, and both classical and Trotter-based quantum evolution with automatic circuit generation and solution visualization.
quantum-machine-learning
by unitarylab
Variational quantum algorithms for optimization and machine learning, including QAOA for combinatorial optimization, VQE for ground-state energy estimation, QNN and VQC for supervised learning with parameterized quantum circuits, and QCBM for generative modeling of discrete probability distributions.
simulators
by unitarylab
A collection of quantum simulators for quantum program development, providing local and cloud execution environments. Includes UnitaryLab (recommended), Qiskit, and PennyLane for various use cases and capabilities.
cryptography
by unitarylab
Quantum algorithms that attack classical cryptographic protocols, including Shor's integer factorization, discrete logarithm solving, and Simon's hidden subgroup problem.
schrodingerization
by unitarylab
Quantum PDE solvers using Schrodingerization, transforming non-unitary PDEs into unitary Schrodinger-type dynamics for quantum simulation. Currently covers advection, backward heat, and heat equations in 1D/2D.
linear-systems
by unitarylab
A set of quantum algorithms for solving linear systems of equations, providing exponential speedup over classical methods for certain types of problems. This skill includes efficient implementations and educational resources for understanding and utilizing quantum linear systems algorithms in various applications.