Package Health Score

46 / 100

security
Security review needed
popularity
Limited
maintenance
Inactive
community
Sustainable

Popularity

Limited

GitHub Stars: 365
Forks: 54
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package blueqat, we found that it has been starred 365 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Apr 2, 2023
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 12
Open PR: 0
Last Release: 1 year ago
Last Commit: 10 months ago

Further analysis of the maintenance status of blueqat based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for blueqat is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 20
Funding: No

With more than 10 contributors for the blueqat repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: ==3.*

Age: 6 years
Latest Release: 1 year ago
Dependencies: 7 Direct / 25 Total
Versions: 51
Maintainers: 2
Wheels: OS Independent

Not sure how to use blueqat?

To help you get started, we've collected the most common ways that blueqat is being used within popular public projects.

Blueqat / Blueqat / tests / test_circuit.py View on Github

def test_copy_empty_numba():
    c = Circuit()
    c.run(backend='numba')
    # copy_history: deprecated.
    cc = c.copy(copy_backends=True)
    assert c.ops == cc.ops and c.ops is not cc.ops
    assert c._backends['numba'].cache is None and cc._backends['numba'].cache is None
    assert c._backends['numba'].cache_idx == cc._backends['numba'].cache_idx == -1

View more ways to use blueqat

Logo

blueqat

A Quantum Computing SDK

Version

Tutorial

https://github.com/Blueqat/Blueqat-tutorials

Notice

The back end has been changed to tensor network. The previous backend environment can still be used with .run(backend="numpy").

Install

git clone https://github.com/Blueqat/Blueqat
cd Blueqat
pip3 install -e .

pip3 install blueqat

Circuit

from blueqat import Circuit
import math

#number of qubit is not specified
c = Circuit()

#if you want to specified the number of qubit
c = Circuit(50) #50qubits

Method Chain

# write as chain
Circuit().h[0].x[0].z[0]

# write in separately
c = Circuit().h[0]
c.x[0].z[0]

Slice

Circuit().z[1:3] # Zgate on 1,2
Circuit().x[:3] # Xgate on (0, 1, 2)
Circuit().h[:] # Hgate on all qubits
Circuit().x[1, 2] # 1qubit gate with comma

Rotation Gate

Circuit().rz(math.pi / 4)[0]

Run

from blueqat import Circuit
Circuit(50).h[:].run()

Run(shots=n)

Circuit(100).x[:].run(shots=100)
# => Counter({'1111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111': 100})

Single Amplitude

Circuit(4).h[:].run(amplitude="0101")

Expectation value of hamiltonian

from blueqat.pauli import Z
hamiltonian = 1*Z[0]+1*Z[1]
Circuit(4).x[:].run(hamiltonian=hamiltonian)
# => -2.0

Blueqat to QASM

Circuit().h[0].to_qasm()
    
#OPENQASM 2.0;
#include "qelib1.inc";
#qreg q[1];
#creg c[1];
#h q[0];

Hamiltonian

from blueqat.pauli import *

hamiltonian1 = (1.23 * Z[0] + 4.56 * X[1] * Z[2]) ** 2
hamiltonian2 = (2.46 * Y[0] + 5.55 * Z[1] * X[2] * X[1]) ** 2
hamiltonian = hamiltonian1 + hamiltonian2
print(hamiltonian)
    
# => 7.5645*I + 5.6088*Z[0]*X[1]*Z[2] + 5.6088*X[1]*Z[2]*Z[0] + 20.793599999999998*X[1]*Z[2]*X[1]*Z[2] + 13.652999999999999*Y[0]*Z[1]*X[2]*X[1] + 13.652999999999999*Z[1]*X[2]*X[1]*Y[0] + 30.8025*Z[1]*X[2]*X[1]*Z[1]*X[2]*X[1]

Simplify the Hamiltonian

hamiltonian = hamiltonian.simplify()
print(hamiltonian)

#=>-2.4444000000000017*I + 27.305999999999997j*Y[0]*Y[1]*X[2] + 11.2176*Z[0]*X[1]*Z[2]

QUBO Hamiltonian

from blueqat.pauli import qubo_bit as q

hamiltonian = -3*q(0)-3*q(1)-3*q(2)-3*q(3)-3*q(4)+2*q(0)*q(1)+2*q(0)*q(2)+2*q(0)*q(3)+2*q(0)*q(4)
print(hamiltonian)
    
# => -5.5*I + 1.0*Z[1] + 1.0*Z[2] + 1.0*Z[3] + 1.0*Z[4] + 0.5*Z[0]*Z[1] + 0.5*Z[0]*Z[2] + 0.5*Z[0]*Z[3] - 0.5*Z[0] + 0.5*Z[0]*Z[4]

Time Evolution

hamiltonian = [1.0*Z(0), 1.0*X[0]]
a = [term.get_time_evolution() for term in hamiltonian]

time_evolution = Circuit().h[0]
for evo in a:
    evo(time_evolution, np.random.rand())
    
print(time_evolution)

# => Circuit(1).h[0].rz(-1.4543063361067243)[0].h[0].rz(-1.8400416676737137)[0].h[0]

QAOA

from blueqat import Circuit
from blueqat.utils import qaoa
from blueqat.pauli import qubo_bit as q
from blueqat.pauli import X,Y,Z,I

hamiltonian = q(0)-q(1)
step = 1

result = qaoa(hamiltonian, step)
result.circuit.run(shots=100)
    
# => Counter({'01': 99, '11': 1})

Circuit Drawing Backend

from blueqat import vqe
from blueqat.pauli import *
from blueqat.pauli import qubo_bit as q

#hamiltonian = q(0)-3*q(1)+2*q(0)*q(1)+3*q(2)*q(3)+q(4)*q(7)
hamiltonian = Z[0]-3*Z[1]+2*Z[0]*Z[1]+3*Z[2]*Z[3]+Z[4]
step = 8

result = vqe.Vqe(vqe.QaoaAnsatz(hamiltonian, step)).run()
result.circuit.run(backend='draw')

draw

Cloud System Connection (API Key is required)

from bqcloud import register_api
api = register_api("Your API Key")

from bqcloud import load_api
api = load_api()

from blueqat import Circuit
from bqcloud import Device

task = api.execute(Circuit().h[0].cx[0, 1], Device.IonQDevice, 10)
#task = api.execute(Circuit().h[0].cx[0, 1], Device.AspenM1, 10)

# Wait 10 sec. If complete, result is returned, otherwise, None is returned.
result = task.wait(timeout=10)

if result:
    print(result.shots())
else:
    print("timeout")

Document

https://blueqat.readthedocs.io/en/latest/

Contributors

Disclaimer

blueqat dependencies

autoray matplotlib networkx numpy opt-einsum quimb scipy

FAQs

What is blueqat?

Quantum Computer Library for Everyone. Visit Snyk Advisor to see a full health score report for blueqat, including popularity, security, maintenance & community analysis.

Is blueqat popular?

The python package blueqat receives a total of 521 weekly downloads. As such, blueqat popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is blueqat well maintained?

We found indications that blueqat is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is blueqat safe to use?

While scanning the latest version of blueqat, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 24 April-2024, at 05:30 (UTC).

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