Ket quantum programming language interpreter and library
Project description
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
Ket Development :hammer:
Setup for Ket development:
git clone https://gitlab.com/quantum-ket/ket.git
cd ket
pip install -e . --user
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}
}
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
Hashes for ket_lang-0.7.1.dev0-py3-none-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a5000681a3b9681d66c0676cafe6b04baa2fb2132a837f65381f7ec474e89ae9 |
|
MD5 | fa52d88d781406c0dda34a3adc55c5fb |
|
BLAKE2b-256 | e08d4a17d81761fa6e80da5696b4873d2ebe0e66381ee7693567f2cd728b0969 |
Hashes for ket_lang-0.7.1.dev0-py3-none-manylinux_2_28_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | eead64e538c9ac44c5122107d702f3983962f6b303d8498acca620d360d87d6e |
|
MD5 | d9b41f0a40ee4e9632262581aefd6235 |
|
BLAKE2b-256 | b7903d7daa9a03b3ef0a6383fcff544a94977672f91ac0c6275f69d565db60d6 |
Hashes for ket_lang-0.7.1.dev0-py3-none-manylinux_2_28_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1377934ce9cd6daf6fcfd95dafd34452408a75bbe95db87461905bff58d4617d |
|
MD5 | b8c9ef246f487e06b571e45608cb5eec |
|
BLAKE2b-256 | e26925dacf6649c5e3ff824c6ebb27ce199b0bbf40f9d92f85a77a2cd250aa6f |
Hashes for ket_lang-0.7.1.dev0-py3-none-macosx_10_7_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0076e61e1d0659c1eab9ad27b5b1686b6c03bc92a653ecb54e86db19681ddeb3 |
|
MD5 | 0c77359e647ef7810f0ae04d40ccfc36 |
|
BLAKE2b-256 | 26e49658ab78637ec80beee9f550aa37bdbe421ee0f350f13cc3e24f96fe11cf |