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Codes for "Robust Quantum Control using Reinforcement Learning from Demonstration"
Open quantum system dynamics using process tensor networks and iTEBD.
Production-ready platform for agentic workflow development.
A high-performance library for gradient based quantum optimal control
Formula recognition based on LaTeX-OCR and ONNXRuntime.
Math OCR model that outputs LaTeX and markdown
A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
Your browser's reference manager: automatic paper detection (Arxiv, OpenReview & more), publication venue matching and code repository discovery! Also enhances ArXiv: BibTex citation, Markdown link…
Topological spin transport (TST) is a repo to test out the idea of transporting spin in a topological phase of matter by local, bias-free driving.
BosonIc Numerical Gate Optimization in python
Source code and data for Encoding of Qubit States in Resonators With Cat Codes
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Model-Free Quantum Control with Reinforcement Learning.
Extension of Qiskit to support hybrid boson-qubit simulations for the NQI C2QA effort.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Tensor network simulations for finite temperature, open quantum system dynamics
Machine learning algorithms for many-body quantum systems
Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python ⚡
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum compu…
Allows the simulation of the Hierarchical Equations of Motion for bosonic Caldeira-Leggett environments using QuTiP.
School project on bosonic codes in pure-loss channel
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
An efficient Julia framework for Hierarchical Equations of Motion (HEOM) in open quantum systems
Notebooks for the O'Reilly book "Learning Ray"