Using Qiskit to research Quantum probability distributions
-
Updated
Jun 11, 2020 - Jupyter Notebook
Using Qiskit to research Quantum probability distributions
Building a noise model for simulating a Qiskit quantum circuit in the presence of errors.
This is an attempt to reduce the quantum noice we get when we run a circuit in a quantum computer.
Qiskit Global Summer School 2022 [QGSS22]: Quantum Simulations. This repository contains labs and assignments completed over the course of the program.
Supplemental code for "Variational Quantum Optimization of Nonlocality in Noisy Quantum Networks"
Qiskit Global Summer School 2022: Quantum Simulations by IBM Quantum. Lab assignments completed during the 2-week program.
Python package containing Pauli Twirling pairs for common two-qubit gates, functions to generate Pauli Twirling pairs for additional gates, and twirling implementations
This repository contains a new backend which can simulate noisy quantum logic circuits using the density matrix formalism.
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.
Simulate and optimize quantum communication networks using quantum computers.
Quantum computational chemistry based on TensorCircuit
Tensor network based quantum software framework for the NISQ era
Add a description, image, and links to the quantum-noise topic page so that developers can more easily learn about it.
To associate your repository with the quantum-noise topic, visit your repo's landing page and select "manage topics."