QSim: Quantum Computer Simulator Toolkit

Playground for anyone passionate to learn or experiment in quantum computing, be it students, faculty or researchers.

Launch Workbench
QSim

About QSim

The Quantum Computing Toolkit Project is one of the first initiatives in the country to address the common challenge of advancing the Quantum Computing research frontiers in India.

The project is accomplished by multidisciplinary groups of academicians, scientists, engineers and industry from various leading organizations including – IISc, IIT-Roorkee and C-DAC.

The QSim is like a playground for anyone passionate to learn or experiment in quantum computing, be it students, faculty or researchers.

The QSim offers a robust QC Simulator integrated with a GUI based workbench in which you can create quantum circuits and quantum programs, view the outputs, online help, solved examples and related literature/material.

C-DAC
IISc
IIT Roorkee
IISc

Features

Quantum Circuits

Simulate quantum circuits

Dynamic simulation of quantum circuits with custom parameters.

Noise Parameters

Quantum Noise

Realistic simulator considering effects of noise

UI/UX

Intuitive UI

Intuitive UI/UX helps users to conceptualize and create quantum programs

Secured Login

Secured user management

Secure user management with options to save quantum programs/circuits

Code editor

Code editor

Advanced Python code editor for Quantum Circuits.

Online Help

Examples & Help

Online help, solved examples, and learning material. 

QC Workbench

Qiskit Aakash

Qiskit Aakash is a software library developed by the Indian Institute of Science that simulates noisy quantum logic circuits. It represents quantum states by their density matrices in the Pauli basis and incorporates possible errors in initialization, logic gates, memory, and measurement using simple models. The simulator is implemented as a new backend to IBM’s Qiskit framework.

Download Qiskit Aakash.  The repository contains detailed examples explaining the various features of the simulator. The easiest way is to load the repository into the Binder Image and use Jupyter notebook.

The details about the implementation of the density matrix simulator have been explained in arxiv paper 1908.05154

Knowledge Base

Implementing Grover’s Algorithm in QSim

Introduction Quantum Computer has many advantages over classical computers. Moreover, one crucial problem many applications face is searching for a large dataset. This problem becomes substantial when we have an unstructured dataset. Grover’s algorithm shows the...

Qiskit Textbook

The Qiskit Textbook is a free digital open source textbook that will teach the concepts of quantum computing while you learn to use Qiskit. Click here to read the complete Textbook.

Coding with Qiskit

This video series starts at learning how to install Qiskit locally, understanding what gates to do quantum states and explores quantum algorithms and the latest research topics.

Introduction to Quantum Computing and Quantum Hardware

An introduction to the world of quantum computing, with an exploration of some of the key quantum algorithms and their implementations, as well as the quantum hardware that is designed to run these algorithms. Learn more about Qiskit.

Learn about Qiskit Aakash

Qiskit Aakash is a density matrix-based software simulator developed by the Indian Institute of Science (IISc), Bengaluru. The links provided on this page aim to explain how to use the new simulator ('dm_simulator') that has been added to existing Qiskit backends....

Contact Us

Have a query or a feedback? Reach out to us to learn more about the Quantum Simulator Toolkit and we will be in touch with you at the earliest.

Email Us

qcworkbench [at] cdac [dot ] in