Features

Numerical and symbolic simulation of quantum algorithms
Plot state and current operation, density matrix and measurement graphs
The state values can be represented as angles, which helps in the analysis of the fourrier quantum transform.
Operations can be performed directly on the instantiated qubit object or using qubit indices.

Installation
Startup
- To instantiate a qubit
- To instantiate a qubit register
Operations
Measure
- Measure the expected value of one or more qubits
- Measure one shot on a qubit
Plot graphs and print state
Code sample
Other code samples

Installation

CPU-only install:

pip install logicqubit

GPU (PyTorch/CUDA) extras:

pip install "logicqubit[cuda]"

Startup

logicQuBit = LogicQuBit(n_qubits, symbolic = True)

Additional optional keyword arguments let you choose the TensorNetwork backend and toggle CUDA acceleration:

logicQuBit = LogicQuBit(
    n_qubits,
    tn_backend="numpy",   # or "jax", "pytorch", "tensorflow"
    enable_cuda=False     # set to True to try a GPU-capable backend
)

Where n_qubits is the number of qubits, and symbolic defines whether the values a and b of the qubits will be symbolic or not, if the symbolic input is omitted the calculation will be numeric.

To instantiate a qubit

q = Qubit()

To instantiate a qubit register

reg = QubitRegister(num_qubits)

Operations

Operations on one qubit

The operation can be performed as q.Gate(parameters) or logicQuBit.Gate(id_qubit, parameters).

Operations on two qubits

In this case, the operation can be performed as q.Gate(control_qubit, parameters) or logicQuBit.Gate(control_qubit, target_qubit, parameters).

*The need for parameters depends on the type of gate.

List of available gates

Single-qubit gates: X, Y, Z, V, S, T, H, RX, RY, RZ, U, U1, U2, U3.

Two-qubits gates: CX or CNOT, CY, CZ, CV, CS, CT, CRX, CRY, CRZ, CU, CU1, CU2, CU3, SWAP.

Three-qubits gates: CCX or Toffoli, Fredkin.

Measure

Measure the expected value of one or more qubits

result = logicQuBit.Measure([q1,q2,..,qn])

Measure one shot on a qubit

value = logicQuBit.Measure_One(qubit)

Plot graphs and print state

Plot expected values

logicQuBit.plot()

Generate a graph of the values obtained by the Measure([...]).

Plot the density matrix

logicQuBit.PlotDensityMatrix()

Print the current state

logicQuBit.PrintState()

Print the current state as angles

logicQuBit.getPsiAtAngles(degree=True)

The degree variable defines whether the result will be displayed in degrees or radians.

Code sample

from logicqubit.logic import *

logicQuBit  = LogicQuBit(3)

a = Qubit()
b = Qubit()
c = Qubit()

a.H()
b.H()

c.CCX(a,b) # and operation

logicQuBit.Measure([c])
logicQuBit.Plot()

Other code samples

https://github.com/clnrp/logicqubit-algorithms

Release files for logicqubit 1.7.9

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for logicqubit 1.7.9
File	Interpreter	ABI	Platform	Reset
logicqubit-1.7.9-py3-none-any.whl 23.1 kB Nov 10, 2025	Python 3	none	any	Details

Release files / logicqubit-1.7.9-py3-none-any.whl

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