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An important distinguishing feature between qubits and classical bits is that multiple qubits can exhibit quantum entanglement; the qubit itself is an exhibition of quantum entanglement. In this case, quantum entanglement is a local or nonlocal property of two or more qubits that allows a set of qubits to express higher correlation than is ...
The approach of topological qubits, which takes advantage of topological effects in quantum mechanics, has been proposed as needing many fewer or even a single physical qubit per logical qubit. [10]
In quantum computers, a qubit is the analog of the classical information bit and qubits can be superposed. [11]: 13 Unlike classical bits, a superposition of qubits represents information about two states in parallel. [11]: 31 Controlling the superposition of
Once the logical qubit is encoded, errors on the physical qubits can be detected via stabilizer measurements. A lookup table that maps the results of the stabilizer measurements to the types and locations of the errors gives the control system of the quantum computer enough information to correct errors.
Quantum networks facilitate the transmission of information in the form of quantum bits, also called qubits, between physically separated quantum processors. A quantum processor is a machine able to perform quantum circuits on a certain number of qubits. Quantum networks work in a similar way to classical networks.
Time-bin qubits do not suffer from depolarization or polarization mode-dispersion, making them better suited to fiber optics applications than polarization encoding. Photon loss is easily detectable since the absence of photons does not correspond to an allowed state, making it better suited than a photon-number based encoding.
Phase estimation requires choosing the size of the first register to determine the accuracy of the algorithm, and for the quantum subroutine of Shor's algorithm, qubits is sufficient to guarantee that the optimal bitstring measured from phase estimation (meaning the | where / is the most accurate approximation of the phase from phase estimation ...
from ket import * a, b = quant (2) # Allocate two quantum bits H (a) # Put qubit `a` in a superposition cnot (a, b) # Entangle the two qubits in the Bell state m_a = measure (a) # Measure qubit `a`, collapsing qubit `b` as well m_b = measure (b) # Measure qubit `b` # Assert that the measurement of both qubits will always be equal assert m_a ...