Quantum-Inspired Hamiltonian Descent for mixed-integer quadratic optimization.

Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".

Differentiable analog pulse optimization for Rydberg atoms.

A Julia package for solving quantum optimal control problems using direct trajectory optimization.

Examples of various problems solved on the titanQ platform

Mathematical Programming in JAX

Toolbox for quadratic binary optimization

A Julia package that provides support for reading and writing Numpy .npy and .npz files

First-order solver for quadratric programming on CPU and GPU.

Python CPU/GPU implementation of the Simulated Bifurcation (SB) algorithm to solve quadratic optimization problems (QUBO, Ising, TSP, optimal asset allocations for a portfolio, etc.).

A hardware-efficient approach to sparse Hamiltonian simulation

A software for nonlinear optimization with Quantum Hamiltonian Decent (QHD); QCE 25 TUT Colab: https://colab.research.google.com/drive/1zjpx5Zu8IUI8sSti2ucAHtPXyGJrY0Lw?usp=sharing

A beautiful, simple, clean, and responsive Jekyll theme for academics

Quantum Hamiltonian Descent: numerical simulation, real-machine deployment, and benchmarking

Forward Mode Automatic Differentiation for Julia

The Julia Programming Language

Example notebooks that show how to apply quantum computing with Amazon Braket.

Hamiltonian Simulation with Random States Numerics

Simple Python version management

Apply and save color schemes in MATLAB with ease.