Quantum Entanglement

Quantum Computing

A computing paradigm that uses quantum mechanical phenomena like superposition and entanglement to process information exponentially faster for certain problems.

Qubit

The fundamental unit of quantum information, capable of existing in a superposition of both 0 and 1 states simultaneously.

Superposition

A quantum mechanical property where a qubit exists in multiple states simultaneously until measured.

Quantum Gate

A basic quantum circuit operation that manipulates one or more qubits, analogous to logic gates in classical computing.

Quantum Circuit

A sequence of quantum gates applied to qubits to perform a quantum computation.

Quantum Error Correction

Techniques for protecting quantum information from errors due to decoherence and other quantum noise sources.

Decoherence

The loss of quantum coherence when a quantum system interacts with its environment, causing errors in computation.

Quantum Noise

Random fluctuations in quantum systems that introduce errors and limit the accuracy of quantum computations.

NISQ

Noisy Intermediate-Scale Quantum — the current era of quantum computing with limited, error-prone qubits.

Fault-Tolerant Quantum Computing

Quantum computing systems that can continue to operate correctly even in the presence of errors.

Quantum Teleportation

The transfer of quantum states between qubits using entanglement and classical communication.

Photonic Quantum Computing

Quantum computing using photons as qubits, manipulated through optical components.

The quantum mechanical analogue of a classical random walk, used as a building block for quantum algorithms.

Using quantum mechanical effects to achieve measurement sensitivities beyond what classical sensors can achieve.

A qubit design that encodes information in the topological properties of matter, offering inherent error protection.

The phenomenon where quantum probability amplitudes combine, allowing quantum algorithms to amplify correct answers and cancel wrong ones.

A form of quantum computing based on the adiabatic theorem, gradually evolving a system from an initial to a problem-encoding Hamiltonian.

A quantum computing approach that finds the lowest energy state of a system, useful for optimisation problems.

A geometrical representation of the state space of a single qubit as a point on the surface of a sphere.

A quantum computing approach that uses the complex dynamics of quantum systems as a computational resource.