Definition: The fundamental unit of quantum information, analogous to a classical bit but with additional properties due to quantum mechanics.
Superposition: A qubit can represent both 0 and 1 at the same time, thanks to superposition. This allows quantum computers to perform many calculations in parallel.
Entanglement: A phenomenon where qubits become interconnected, such that the state of one qubit instantly affects the state of another, regardless of distance. This property enables quantum computers to solve complex problems more efficiently.
Quantum Gates:
Definition: Operations that manipulate qubits, similar to logic gates in classical computing.
Types: Quantum gates perform operations such as changing the state of a qubit, entangling qubits, and implementing quantum algorithms. Common gates include the Hadamard gate, Pauli-X gate, and CNOT gate.
Quantum Circuits:
Definition: A sequence of quantum gates applied to qubits to perform computations.
Function: Quantum circuits are used to build and execute quantum algorithms. They consist of various gates arranged in a specific order to achieve desired computational outcomes.
Quantum Algorithms:
Definition: Algorithms designed to run on quantum computers, exploiting quantum mechanical properties to solve problems more efficiently than classical algorithms.
Examples:
Shor’s Algorithm: Efficiently factors large numbers into prime components, which has implications for cryptography.
Grover’s Algorithm: Provides a quadratic speedup for unstructured search problems, improving search efficiency.
Quantum Supremacy:
Definition: The point at which a quantum computer performs a calculation that is infeasible for classical computers to perform within a reasonable time frame.
Achievement: Demonstrated by Google’s Sycamore processor in 2019, which completed a specific problem faster than the most powerful classical supercomputers.