Quantum simulation using matrix exponentials and Lie-theoretic Trotterization. Lecture 6 from the Lie Groups with Applications series by Quantum Formalism.
-
Updated
Apr 17, 2025 - Jupyter Notebook
Quantum simulation using matrix exponentials and Lie-theoretic Trotterization. Lecture 6 from the Lie Groups with Applications series by Quantum Formalism.
Python code for constructing and simulating quantum circuits to carry out Hamiltonian simulation of benchmark molecules.
Numerical analysis of the Magnus Hamiltonian simulation technique
Honorable mention of Classiq "22 Hamiltonian Challenge
Quantum Computation and Visualization of Hamiltonians Using Discrete Quantum Mechanics and IBM QISKit
End-to-End Python implementation of Mancilla et al.'s (2026) methodology for solving the direct indexing portfolio selection problem as quantum combinatorial optimization. Enforces cardinality constraints via subspace confinement. Benchmarks PennyLane quantum circuits against D-Wave simulated annealing & HRP baselines with walk-forward backtesting.
Quantum Hamiltonian Analysis Toolkit for studying quantum computing algorithms applied to Hamiltonian simulation or related topics
Quantum hamiltonian simulation with matrix-free linear operators
Add a description, image, and links to the hamiltonian-simulation topic page so that developers can more easily learn about it.
To associate your repository with the hamiltonian-simulation topic, visit your repo's landing page and select "manage topics."