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:
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Write once and execute on any supported quantum provider using one syntax
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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 quantumcatPlatforms 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 APIOTP 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) 