qdrift
OfficialStochastic Pauli-term Hamiltonian simulation.
Education & Research#simulation#randomized#unitarylab#qdrift#quantum-algorithms#hamiltonian-simulation#pauli-decomposition
Authorunitarylab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
QDrift provides a stochastic method to simulate quantum dynamics by randomly sampling Pauli-term evolutions with probabilities proportional to their coefficients, enabling efficient approximations of e^{-iHt} for Hamiltonians with many terms.
Core Features & Use Cases
- Randomized sampling of Pauli evolutions with coefficient-proportional probabilities.
- Efficient baseline for Hamiltonian simulation and benchmarking, especially for large Pauli-term expansions.
- Educational demonstration of randomized product formulas and trajectory averaging.
Quick Start
Execute the QDrift demonstration by running scripts/algorithm.py.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
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Please help me install this Skill: Name: qdrift Download link: https://github.com/unitarylab/quantum-skills/archive/main.zip#qdrift Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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