# quantum computing python

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If you’re keen on delving into quantum computing using Python, you’re at the right place! While many of us don’t have access to an actual quantum computer, simulators are here to save the day. They might not match the performance of a real quantum computer, but they’re perfect for running and testing quantum applications. For this, you have three choices for simulators: PyQu, QuTip, and Qitensor. After a thorough review, we’re zeroing in on QuTip due to its expansive codebase and up-to-date modifications. Notably, PyQu hasn’t seen updates since 2010, and Qitensor has been dormant for a year.

Related course:
Quantum Computing: An Applied Approach

Installation Guide
This tutorial assumes you’re on a Unix machine, but other OS users can also follow along. To install, execute the following commands:

Once installed, initiate Python via command line and input the subsequent commands:

Successful installation will display QuTip details.

Understanding Quantum Data Structures
To accurately simulate quantum systems, it’s essential to use data structures that can encapsulate the properties of quantum operators, ket vectors, and bra vectors. The Qobj data structure serves this purpose well. Here’s an example to illustrate this:

Executing the above code will provide an output of the quantum object.

If you wish to input custom data, the following approach works:

This will display the quantum object containing the user-provided data.

Engaging with Quantum States and Operators
Quantum systems are multi-state systems. QuTip boasts a variety of predefined states and quantum operators, all of which are detailed here.

Demystifying Qubits and Operators
A Qubit, the quantum version of a classical bit, can exist in a superposition of two states simultaneously, a phenomenon pivotal for quantum computing. Here’s how you can create one:

Following this, you can execute quantum system operators on this qubit:

Integrating Multiple Qubits
To effectively describe the states of two intertwined qubits, the tensor product of their state vectors is imperative. Here’s a demonstration:

Exploring Further
With this foundation in place, you’re all set to develop basic quantum applications. Should you wish to dive deeper and design a truly functional application, it’s advisable to deepen your understanding of quantum computing and explore tutorials like this one on QuTip.