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…
A quantum-compatible solver for the 2D Heat Equation using Schrödingerization to transform the non-unitary diffusion equation into a unitary evolution problem. Supports anisotropic diffusion, Dirichlet and periodic boundary conditions, source terms, and both classical and Trotter-based quantum evolution with automatic…
A router for UnitaryLab quantum state-preparation algorithms, including sparse-support, uniformly controlled-rotation, tensor-network, recursive multiplexer, and variational Pauli-word preparation. Use when selecting or comparing methods for loading target amplitude vectors into quantum circuits.
Prepares an arbitrary small complex quantum state using the Möttönen decomposition. This skill explains the amplitude and phase rotations, Gray-code uniformly controlled RY/RZ ladders, bit-order conversion, and phase-invariant validation used by UnitaryLab.
Loads states with a Matrix Product State representation when low-entanglement structure can reduce the preparation cost. It covers state-to-MPS decomposition, bond-dimension truncation, canonicalization, QR-based unitary completion, work-qubit encoding, leakage, and phase-invariant validation in UnitaryLab.
Repository-faithful multiplexer state preparation: normalization, zero padding, one internal bit reversal, binary magnitude loading, basis-selective phase loading, and the actual run() contract.
A method for approximately preparing a target quantum state by applying a fixed sequence of rotations based on Pauli words, which are products of basic quantum operations. It checks the result with an error measure that ignores overall phase.
Prepares a normalized state with sparse computational-basis support using compact coefficient preparation followed by a support permutation. The current implementation is exact up to floating-point error but materializes dense matrices.
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.
A collection of quantum algorithms implemented using Qiskit, covering a wide range of topics including quantum search, quantum phase estimation, amplitude amplification, and more. Provides efficient implementations and examples for various quantum computing applications.
Use UnitaryLab for local quantum circuit construction, simulation, measurement, expectation values, transpilation, drawing, serialization, and algorithms provided by unitarylab.library. Trigger for runnable UnitaryLab workflows; consult bundled references for package APIs and dedicated algorithm skills for…
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