Module quantum
Description
A high-performance quantum computing simulator in Dinfio. This module lets you programme and simulate quantum algorithms, quantum information, and quantum machine learning.
Constants
bra_0— This constant represents bra \(\bra{0}\)bra_1— This constant represents bra \(\bra{1}\)e— Mathematical \(e\) constantgate_i— The matrix representation of \(I\) gategate_x— The matrix representation of \(X\) gategate_y— The matrix representation of \(Y\) gategate_z— The matrix representation of \(Z\) gateket_0— This constant represents state \(\ket{0}\)ket_1— This constant represents state \(\ket{1}\)negative_i— Negative \(i\) number (\(-\sqrt{-1}\))pi— Mathematical \(\pi\) constantpositive_i— Positive \(i\) number (\(\sqrt{-1}\))
Functions
from_binary()— Convert a binary string to number
Classes
-
quantum_circuit— This class models a quantum circuit, providing gate operations, quantum states, probabilities, quantum phases, expectation values, measurements, etc.
Member Functions
-
construct()— The constructor. Create an instance of classquantum_circuit -
barrier()— Add a barrier to the circuit -
bits()— Get total number of classical bits of the circuit -
ccx()— Apply \(CCX\) (also known as Toffoli) gate to the circuit -
classical_bits()— Get the measured classical bits -
cp()— Apply \(CP\) gate to the circuit -
cu()— Apply \(CU\) gate to the circuit - And 37 more member functions
-
Examples
import quantum
qc = quantum_circuit(2)
qc.h(0)
qc.cx(0, 1)
qc.print_statevector()
qc.print_probability()
qc.draw()' Example output:
'
' [ 0.707107 + 0i
' 0 + 0i
' 0 + 0i
' 0.707107 + 0i ]
' [ 0.5
' 0
' 0
' 0.5 ]
' ╭───╮
' q0 ─┤ H ├───●───
' ╰───╯ │
' ╭─┴─╮
' q1 ───────┤ X ├─
' ╰───╯