quantum computing book list - A book list for those who want to self-study quantum computing

From Qiskit Metal to pattern generation to real nanofabrication demo. Here, quantum devices on a chip are patterned via direct-write electron-beam lithography in a nanofabrication facility. Written & patterned by Onri Jay Benally, an Indigenous American quantum hardware engineer.

Everything you need for quantum hardware engineering in the field. Curated by Onri Jay Benally, an Indigenous American quantum hardware engineer & doctoral researcher.

A validated design database and simulation workflow software for superconducting quantum hardware

Quantum Electronics Design Automation - The RTL of Quantum Computing

Spooky Manufacturing's Quantum Hardware IDE

Arline Quantum is an open-source library providing basic functionality for creating and manipulating quantum circuits. It also contains a list of mock quantum hardware

Tensor network based quantum software framework: next generation

This program is designed to analyze Scanning Electron Microscope (SEM) images, specifically images of superconducting quantum devices. It uses the Segment Anything library from Meta to identify and segment objects in the image.

A repository for Indigenous American language material for quantum hardware education from the Diné/Navaho/Navajo tribe. Collected & written by Onri Jay Benally, an Indigenous American quantum engineer.

Alarm system (email and slack messages) for BlueFors fridges to alert about temperatures over a threshold value and Pulse Tube failure

Repository containing the Python scripts related to my Physics degree end-of-degree project at the University of Alicante. This end-of-degree project is supervised by Joaquín Fernández Rossier.

Quantum Information with Atoms and Photons lecture notes. University of Padua, AY 2022/23.

Config files for my GitHub profile.

This repository offers custom PCells and functional macros for KLayout for LFL Lab Workflows

A small API to make quantum circuits accessible for labscript

This project aims to implement Quantum Support Vector Machines (QSVM) on actual quantum devices and simulators using the Qiskit library in conjunction with Amazon Braket (AWS). The core objective is to evaluate and compare the performance efficiency of QSVM implementations across various quantum hardware and simulation environments.

Get acquainted with quantum hardware platforms: formulate problems, send jobs, retrieve results, etc.

Run qiskit metal inside a docker container