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ketlang 0.7.1

Ket Quantum Programming
[[TOC]]
Ket is an embedded programming language that introduces the ease of Python to quantum programming, letting anyone quickly prototype and test a quantum application.
Python is the most widely used programming language for machine learning and data science and has been the language of choice for quantum programming. Ket is a Python-embedded language, but many can use it as a Python library in most cases. So you can use Ket together with NumPy, ScyPy, Pandas, and other popular Python libraries.
Ket's goal is to streamline the development of hardware-independent classical quantum applications by providing transparent interaction of classical and quantum data. See https://quantumket.org to learn more about Ket.
Installation :arrow_down:
Ket requires Python 3.8 or newer and is available for Linux, Windows, and macOS. If you are not using x86_64 (example ARM), you must install Rust before installing Ket.
You can install Ket using pip. To do so, copy and paste the following command into your terminal:
pip install ket-lang

Documentation :scroll:
Documentation available at https://quantumket.org.
Examples :bulb:
Grover's Algorithm
from ket import *
from math import sqrt, pi

def grover(n: int, oracle) -> int:
p = Process()
qubits = H(p.alloc(n))
steps = int((pi / 4) * sqrt(2**n))
for _ in range(steps):
oracle(qubits)
with around(H, qubits):
phase_oracle(0, qubits)
return measure(qubits).value

n = 8
looking_for = 13
print(grover(n, phase_oracle(looking_for)))
# 13

Quantum Teleportation
from ket import *

def entangle(a: Quant, b: Quant):
return CNOT(H(a), b)

def teleport(quantum_message: Quant, entangled_qubit: Quant):
adj(entangle)(quantum_message, entangled_qubit)
return measure(entangled_qubit).value, measure(quantum_message).value

def decode(classical_message: tuple[int, int], qubit: Quant):
if classical_message[0] == 1:
X(qubit)

if classical_message[1] == 1:
Z(qubit)

if __name__ == "__main__":
from math import pi

p = Process()

alice_message = PHASE(pi / 4, H(p.alloc()))

alice_message_dump = dump(alice_message)

alice_qubit, bob_qubit = entangle(*p.alloc(2))

classical_message = teleport(
quantum_message=alice_message, entangled_qubit=alice_qubit
)

decode(classical_message, bob_qubit)

bob_qubit_dump = dump(bob_qubit)

print("Alice Message:")
print(alice_message_dump.show())

print("Bob Qubit:")
print(bob_qubit_dump.show())
# Alice Message:
# |0⟩ (50.00%)
# 0.707107 ≅ 1/√2
# |1⟩ (50.00%)
# 0.500000+0.500000i ≅ (1+i)/√4
# Bob Qubit:
# |0⟩ (50.00%)
# 0.707107 ≅ 1/√2
# |1⟩ (50.00%)
# 0.500000+0.500000i ≅ (1+i)/√4

Setup for Ket Development :hammer:
To get started with Ket development, follow these steps:

Rust Installation
Ensure that Rust is installed on your system. If not, follow the Rust install guide. After installation, set the Rust version to 1.75 using the following command:
rustup default 1.75

Clone and Compile
Clone the Ket repository and compile the Rust libraries:
git clone --recursive https://gitlab.com/quantum-ket/ket.git
cd ket

cargo build --manifest-path src/ket/clib/libs/libket/Cargo.toml
cargo build --manifest-path src/ket/clib/libs/kbw/Cargo.toml

ln -s libket/target/debug/libket.so src/ket/clib/libs
ln -s kbw/target/debug/libkbw.so src/ket/clib/libs

Set Up Virtual Environment
Set up a virtual environment for Python:
python3 -m venv venv
source venv/bin/activate

Install Dependencies
Upgrade pip and install development requirements:
pip install -U pip
pip install -r requirements_dev.txt

Install Ket
Install Ket in editable mode:
pip install -e .

Run Tests
To ensure everything is correctly installed, run the tests:
pytest

You're now set up for Ket development! Happy coding! 🚀
Cite Ket :book:
When using Ket for research projects, please cite:

Evandro Chagas Ribeiro da Rosa and Rafael de Santiago. 2021. Ket Quantum Programming. J. Emerg. Technol. Comput. Syst. 18, 1, Article 12 (January 2022), 25 pages. DOI: 10.1145/3474224

@article{ket,
author = {Evandro Chagas Ribeiro da Rosa and Rafael de Santiago},
title = {Ket Quantum Programming},
year = {2021},
issue_date = {January 2022},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {18},
number = {1},
issn = {1550-4832},
url = {https://doi.org/10.1145/3474224},
doi = {10.1145/3474224},
journal = {J. Emerg. Technol. Comput. Syst.},
month = oct,
articleno = {12},
numpages = {25},
keywords = {Quantum programming, cloud quantum computation, qubit simulation}
}