Unlocking True Randomness: Quantum Coin Flips with Python
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Introduction to Quantum Coin Flipping
Engaging in quantum coin flipping is not only an intriguing experiment but also a fantastic way for beginners to explore true randomness in computing.
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Traditional computers struggle with generating genuine random numbers, instead relying on algorithms to produce what are termed pseudo-random numbers. These numbers may seem random but ultimately follow predetermined rules, leading to eventual repetitions.
Exploring Quantum Randomness
To achieve genuine randomness, conventional computers often draw from external phenomena, such as atmospheric noise or the precise timing of keystrokes. In stark contrast, quantum computers operate on principles of inherent randomness, presenting both challenges and advantages. This randomness, while complex, is fundamental to the power of quantum computing.
Is it excessive to utilize a quantum computer for a simple coin flip? Absolutely! But it's also an exhilarating experience!
Setting Up for Quantum Coin Flips
To get started, you'll need an internet connection and Python. IBM offers access to real quantum computers for free. Follow these steps:
- Create an account at quantum-computing.ibm.com.
- Obtain your API token to connect with IBM's quantum systems.
We will utilize the Qiskit library in Python to create a basic quantum circuit. This circuit will feature one qubit, representing our coin, which will be manipulated to exist in a superposition of 0 (heads) and 1 (tails). Much like Schrödinger’s cat, our coin will simultaneously be heads and tails until observed.
The Measurement Process
Upon measuring the qubit, it will randomly resolve to either heads or tails, with an equal probability of ½.
First, install the Qiskit library:
pip install qiskit
Next, we will define our quantum circuit:
# Code to create a quantum circuit with one qubit
In this example, we create a quantum circuit featuring one qubit (our coin) and a classical bit to store the measurement outcome. We apply the Hadamard gate to put the coin into a superposition of both heads and tails. Finally, we measure the qubit to store the result in the classical bit.
Executing the Quantum Circuit
To run the circuit on IBM's quantum computers, use the following code:
# Code to execute the quantum circuit on IBM's quantum computer
This code sets up a secure connection to the IBM Quantum API using your API key. It specifies that we want to run our circuit on the "ibmq_armonk" quantum computer. The "shots" parameter indicates that we wish to perform the coin flip just once. After executing, the code retrieves and displays the result of the coin flip.
The Outcome of Our Experiment
Upon running our code on "ibmq_armonk," the IBM Quantum platform showcases various available quantum computers, detailing their qubit capacity and more. The completion time for our coin flip may vary depending on the quantum computer's current workload.
Reflecting on the Experience
Before moving on to other tasks, it’s crucial to pause and reflect on what we've just accomplished. Running a few lines of Python code, we've engaged with astonishing technology that operates at temperatures near absolute zero (-273.15 °C or -459.67 °F), far colder than even outer space.
By sending instructions to manipulate an isolated quantum system, we effectively performed a truly random coin flip. If that doesn’t send shivers down your spine, I don’t know what will!
For any questions or comments, feel free to connect with me on LinkedIn. Note that I have no affiliation with IBM. If you enjoyed this post, consider subscribing to my newsletter at marcelmoos.com/newsletter.
Chapter 2: Learning through Quantum Programming
In the video titled "Quantum Coding Tutorial | How To Win a Quantum Coin Flip," you will discover more about implementing quantum code to achieve randomness through coin flips.
Chapter 3: Advanced Quantum Concepts
The second video, "#12/100: Quantum coin flipping and unflipping || Quantum Computer Programming in 100 Easy Lessons," dives deeper into quantum computing principles and practical applications.