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This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
Code to accompany: "Reversing Unknown Qubit-Unitary Operation, Deterministically and Exactly," https://arxiv.org/abs/2209.02907
GPU-accelerated value iteration and simulation for perishable inventory control using JAX
Repository containing scripts for enhancing quantum optimal control techniques with Machine Learning
Model-Free Quantum Control with Reinforcement Learning.
This repository provides the videos that accompany the paper: Deep Reinforcement Learning Control of Quantum Cartpoles
A wrapper around libbliss for graph isomorphism testing and canonical labeling.
peterjbrown519 / ncpol2sdpa
Forked from peterwittek/ncpol2sdpaSolve global polynomial optimization problems of either commutative variables or noncommutative operators through a semidefinite programming (SDP) relaxation
Code and data corresponding to the paper "Observing ground-state properties of the Fermi-Hubbard model using a scalable algorithm on a quantum computer"
Data repository for the arXiv:2208.06909 paper
NCTSSOS is a non-commutative polynomial optimization tool based on the moment-SOHS hierarchy.
A python package for exploring end-to-end chemistry workflows on quantum computers and simulators.
Anonymity research tools for Tornado Cash. Contains deposit reuse clustering and TCash-specific reveals. Whitepaper: https://arxiv.org/abs/2201.06811
A tool for token-curated communities.
Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
Tensor network based quantum software framework for the NISQ era
A python module and example scripts to perform molecular simulationts with the variational quantum eigensolver (VQE)
MCRand is a library of Monte Carlo methods. Multidimensional integration, non-uniform random number generation, etc.
Create an open-source library in Python for your scientific research.
A curated list of recent textbooks, reviews, perspectives, and research papers related to quantum machine learning, variational quantum algorithms, tensor networks, and classical machine learning a…