artificial-brain/quantumcat

quantumcat is a platform-independent, open-source, high-level quantum computing library, which allows the quantum community to focus on developing platform-independent quantum applications without much effort.

Introduction

quantumcat is a platform-independent, open-source, high-level quantum computing library, which allows the quantum community to focus on developing platform-independent quantum applications without much effort.

It is based on two principles:

1. Write once and execute on any supported quantum provider using one syntax

2. quantumcat should enable researchers and developers to create quantum applications using high-level programming in the future so that they can focus on developing quantum applications instead of learning low-level concepts such as gates and circuits

Write once

from quantumcat.utils import providers  
num_of_qubits = 2
qc = QCircuit(num_of_qubits)
qc.h_gate(0)
qc.cx_gate(0, 1)

# To execute on Google Cirq
result = qc.execute(provider=providers.GOOGLE_PROVIDER, repetitions=1024) 

# To execute on IBM Qiskit
result = qc.execute(provider=providers.IBM_PROVIDER, repetitions=1024)

# To execute on Amazon Braket
result = qc.execute(provider=providers.AMAZON_PROVIDER, repetitions=1024)

Compare the results of all the supported providers with a single line of code

# Execute on All providers in one go
circuit.compare_results(plot=True)

Execute on real IBM quantum hardware with quantumcat

from quantumcat.utils import providers  
  
result = qc.execute(provider=providers.IBM_PROVIDER,
api='API KEY from IBM Quantum dashboard', 
device='IBM DEVICE NAME such as ibmq_manila or ibmq_quito')  
# Copy API and Device name from https://quantum-computing.ibm.com/  

Installation

pip install quantumcat

Platforms Supported

• Google Cirq
• IBM Qiskit
• Amazon Braket
• IonQ (Via Braket)
• Rigetti (Via Braket)

Examples of High-Level Functions

Deutsch Jozsa Algorithm

deutsch_jozsa = DeutschJozsa('balanced', 4)
print(deutsch_jozsa.execute(provider=providers.IBM_PROVIDER))

Superposition

qc.superposition(0) 
# puts qubit 0 in superposition  

Entanglement

qc.entangle(0, 1) 
# entangles qubit 0 with qubit 1  

Phase Kickback

qc.phase_kickback(0) 
# applies |-> to qubit 0  

Example of High-Level Applications

Random Number Generator

from quantumcat.utils import providers, constants  
from quantumcat.applications.generator import RandomNumber  
  
random_number = RandomNumber(length=2, output_type=constants.DECIMAL).execute(provider=providers.GOOGLE_PROVIDER)
print(random_number)  

# To generate random number on actual IBM device  
random_number = RandomNumber(length=2, output_type=constants.DECIMAL)
	.execute(provider=providers.IBM_PROVIDER, repetitions=1024, api='API KEY from IBM Quantum dashboard'
		 device='IBM DEVICE NAME such as ibmq_manila or ibmq_quito')
print(random_number)

Password Generator

from quantumcat.applications.generator import Password  
  
password = Password(8).generate()  
print(password)  
# Length should be between 5 - 20  
# Password is generated in hexadecimal format using QRNG@ANU JSON API

OTP Generator

from quantumcat.applications.generator import OTP  
  
otp = OTP().generate()  
print(otp)  
# 5 digits OTP is generated using QRNG@ANU JSON API  

Examples of Low-Level Functions

Circuit Creation

from quantumcat.circuit import QCircuit  
  
num_of_qubits = 3  
qc = QCircuit(num_of_qubits)  

Single-Qubit Gate

qc.x_gate(0) # applies X gate on qubit 0  

Two-Qubit Gate

qc.cx_gate(0, 1) # control qubit, target qubit  

Multi-Qubit Gate

qc.mct_gate([0, 1], 2) # control qubits array, target qubit  

Draw Circuit

from quantumcat.utils import providers  
  
qc.draw_circuit(provider=providers.GOOGLE_PROVIDER)

Gates Supported

Click here to view gates supported

Visualization

Histogram

circuit = QCircuit(1)
circuit.superposition(0)
counts = circuit.execute(provider=providers.GOOGLE_PROVIDER, repetitions=1024)
circuit.histogram(counts) 

Bloch Multivector

circuit = QCircuit(1)
circuit.superposition(0)
state = circuit.execute(provider=providers.GOOGLE_PROVIDER, 
			simulator_name=constants.STATEVECTOR_SIMULATOR)
circuit.bloch_multivector(state) 

QSphere

circuit = QCircuit(1)
circuit.superposition(0)
state = circuit.execute(provider=providers.GOOGLE_PROVIDER, 
			simulator_name=constants.STATEVECTOR_SIMULATOR)
circuit.state_qsphere(state) 

License

Apache License 2.0