Companion site for the textbook Quantum Computing: An Applied Approach
Research using Cirq!
Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.
⚛ 10 week Practical Course on Quantum Information Science and Quantum Computing - with Qiskit and IBMQX
A full stack simulator of quantum hardware, from the low-level analog physics to high-level network dynamics. Includes discrete event simulator, symbolic representation for quantum object, and works with many backend simulators.
QuAIRKit is a Python research framework for quantum computing, quantum information, and quantum machine learning algorithm development. It focuses on flexible design, real-time simulation and rapid verification of quantum and classical algorithms.
A Jupyter notebook that demonstrates the use of Qiskit and the IBM Q Experience using the BBPSSW protocol for entanglement purification as an example.
⚛️ ⚗️ 👨🏫 A project based in Quantum Physics/Mechanics, Quantum Information Science, Quantum Theory, Quantum Chemistry and Quantum Computing. This project was developed as part of the Summer School on Quantum Computing: Software for Near Term Quantum Devices 2020, realized by UIMP (Universidad Internacional Menéndez Pelayo), with the support of …
Modeling nitrogen-vacancy centers in diamond
Implementation of the paper Quantum Error Mitigation by Pauli Check Sandwiching. The scheme was first explored by the paper Extended flag gadgets for low-overhead circuit verification. Adds Pauli parity checks to the input quantum circuit.
Data Acquisition for Confocal Microscope and Spin Control Experiments
Example of quantum communication using polarization-coded photons
⚛️ 👨💻 💥 A project based in Quantum Computing and Quantum Information Science. This project was built using Java and JUnit. The QuISL (Quantum Information Science Library) is a Java Library (or Toolbox/Framework), which will act as Simulator of this new technology, as also, will allow to build and study Quantum Circuits, Quantum Algorithms, amon…
Materials for QIC class for which I was a TA.
Compression of Quantum Information with examples
The codebase for the Superconducting Quantum Information Laboratory in EPFL
Data-centric machine learning in QIS
Resources on Quantum Computing
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