In quantum information theory, quantum state purification refers to the process of representing a mixed state as a pure quantum state of higher-dimensional...

liturgical feast Purification Rundown, in Scientology Purification (album), a 2002 Crimson Thorn album Quantum state purification in quantum mechanics, especially...

In quantum physics, a quantum state is a mathematical entity that embodies the knowledge of a quantum system. Quantum mechanics specifies the construction...

A quantum computer is a computer that exploits quantum mechanical phenomena. On small scales, physical matter exhibits properties of both particles and...

entangled states. Graph states are useful in quantum error-correcting codes, entanglement measurement and purification and for characterization of computational...

noise on stored quantum information, faulty quantum gates, faulty quantum state preparation, and faulty measurements. Effective quantum error correction...

Superconducting quantum computing is a branch of solid state physics and quantum computing that implements superconducting electronic circuits using superconducting...

location to the next, quantum teleportation only transfers quantum information. The sender does not have to know the particular quantum state being transferred...

Post-quantum cryptography (PQC), sometimes referred to as quantum-proof, quantum-safe, or quantum-resistant, is the development of cryptographic algorithms...

Quantum annealing (QA) is an optimization process for finding the global minimum of a given objective function over a given set of candidate solutions...

Quantum networks form an important element of quantum computing and quantum communication systems. Quantum networks facilitate the transmission of information...

Quantum machine learning is the integration of quantum algorithms within machine learning programs. The most common use of the term refers to machine learning...

In quantum computing, the variational quantum eigensolver (VQE) is a quantum algorithm for quantum chemistry, quantum simulations and optimization problems...

Quantum information science is a field that combines the principles of quantum mechanics with information theory to study the processing, analysis, and...

Quantum neural networks are computational neural network models which are based on the principles of quantum mechanics. The first ideas on quantum neural...

Quantum programming refers to the process of designing and implementing algorithms that operate on quantum systems, typically using quantum circuits composed...

Shor's algorithm is a quantum algorithm for finding the prime factors of an integer. It was developed in 1994 by the American mathematician Peter Shor...

The term quantum state discrimination collectively refers to quantum-informatics techniques, with the help of which, by performing a small number of measurements...

physically realized with a two-state device. A qubit is a two-state (or two-level) quantum-mechanical system, one of the simplest quantum systems displaying the...

In quantum mechanics, notably in quantum information theory, fidelity quantifies the "closeness" between two density matrices. It expresses the probability...

A topological quantum computer is a type of quantum computer. It utilizes anyons, a type of quasiparticle that occurs in two-dimensional systems. The...

This is a timeline of quantum computing. Stephen Wiesner invents conjugate coding 13 June – James L. Park (Washington State University, Pullman)'s paper...

Quantum key distribution (QKD) is a secure communication method that implements a cryptographic protocol involving components of quantum mechanics. It...

Intermediate state may refer to: an intermediate chemical state Virtual state, a very short-lived, unobservable quantum state Meissner effect, the expulsion...

In quantum computing, quantum supremacy or quantum advantage is the goal of demonstrating that a programmable quantum computer can solve a problem that...

In quantum computing, a quantum algorithm is an algorithm that runs on a realistic model of quantum computation, the most commonly used model being the...

In quantum mechanics, a density matrix (or density operator) is a matrix used in calculating the probabilities of the outcomes of measurements performed...

information as binary states (represented by "1"s and "0"s), quantum memory stores a quantum state for later retrieval. These states hold useful computational...

In quantum computing, the quantum phase estimation algorithm is a quantum algorithm to estimate the phase corresponding to an eigenvalue of a given unitary...

In quantum computing, the quantum Fourier transform (QFT) is a linear transformation on quantum bits, and is the quantum analogue of the discrete Fourier...