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While the ramifications of quantum computers
While the ramifications of quantum computers

... Gil Kalai writes, “The main concern regarding the feasibility of quantum computers has always been that quantum systems are inherently noisy: we cannot accurately control them, and we cannot accurately describe them…What is noise?... Noise refers to the general effect of neglecting degrees of freedo ...
Programming with Quantum Communication
Programming with Quantum Communication

... quantum programs that implement these specifications, and reason about their comparative time, space, and communication complexity, all in the same framework. There has been a number of proposals for formal approaches to quantum programming, including the language qGCL [19,27], process algebraic app ...
Unitary time evolution
Unitary time evolution

... Quantum circuits There are infinitely many possible two-bit gates; but in practice such unitaries are difficult to do. Fortunately, it turns out that just the CNOT (or almost any other two-bit gate), together with one-bit gates, can be used to build up any unitary. (We will prove this later in the ...
Quantum Polarization
Quantum Polarization

... 12) One of a pair of entangled photons is sent toward double slits that normally produce an interference pattern. These slits are covered with horizontal and vertical polarizing filters. The partner photon is sent off in a completely different direction - it never goes near the slits. This is repeat ...
Active teleportation of a quantum bit
Active teleportation of a quantum bit

Probabilistic instantaneous quantum computation
Probabilistic instantaneous quantum computation

file
file

... gate operations into several single-qubit and some interaction (two-qubit) operations in series as the CNOT gate in the globally controlled electron spin scheme. So the single-qubit operations and two-qubit (interaction) operations do not act on the same qubits at the same time. • The GRAPE optimal ...
Document
Document

... Measure of Entanglement:1. For pure bipartite state entanglement is measured by the Von Neumann entropy of any of it’s subsystems. This is the unique measure for all pure bipartite states. 2. For mixed bipartite entangled states, there is no unique way to define entanglement of a state. Two useful m ...
Surrey seminar on CQP - School of Computing Science
Surrey seminar on CQP - School of Computing Science

... Typechecking for No Cloning Suppose that Alice continues with some behaviour, after sending the qubit to Bob. Alice(x:Qbit, q:^[Qbit], n:0..3) = {x *= n} . q![x] . Continue The type system of CQP guarantees that Continue does not refer to x. Technically: the fact that x is sent along q means that ...
Photonic realization of nonlocal memory effects and non
Photonic realization of nonlocal memory effects and non

Quantum (wave) mechanics
Quantum (wave) mechanics

... uncertainty principle is of no consequence, but that is not the case for atomic sized systems. According to the uncertainty principle, we can never obtain precise knowledge of a physical system, regardless of improvements in experimental techniques. We can only obtain probable values, and this is a ...
Interpretation of quantum mechanics - Institut für Physik
Interpretation of quantum mechanics - Institut für Physik

... anymore. There are two processes which the Schrödinger equation for the isolated system does not explain, which leads to the failure of describing the measurement. 1. The process of the transition from a state including superpositions of eigenstates to a state consisting of only definite eigenstates ...
Quantum Information Technology based on Single Electron Dynamics
Quantum Information Technology based on Single Electron Dynamics

CALCULATING A MAXIMIZER FOR QUANTUM MUTUAL
CALCULATING A MAXIMIZER FOR QUANTUM MUTUAL

... Holevo 1 has introduced a measure of the amount of classical information remaining in a state that has been sent over a noisy quantum channel. The capacity of a channel is given by the maximization of this Holevo quantity over an ensemble of input states, and can be interpreted as the amount of info ...
Document
Document

Science as Representation: Flouting the Criteria
Science as Representation: Flouting the Criteria

CSE 599d - Quantum Computing Mixed Quantum States and Open
CSE 599d - Quantum Computing Mixed Quantum States and Open

A physics approach to classical and quantum machine learning
A physics approach to classical and quantum machine learning

Quantum Analysis on Time Behavior of a Lengthening Pendulum
Quantum Analysis on Time Behavior of a Lengthening Pendulum

... actual systems. A gravitational pendulum which has been used as a seismic sensor of translation and rotation is one of its well-known applications [24]. Usually seismologists use a kind of sensing device (pendulum) in order to detect earthquake waves, which is more complicated than the simple pendul ...
2 - arXiv
2 - arXiv

... The first goal builds on a typical Lyapunov-LaSalle strategy, with additional care needed due to the infinite dimension. For the second goal, we resort to a separation of the quantum dynamics into fast and slow components. We then apply an adiabatic elimination of the fast system to deduce a good ap ...
Relativistic quantum field theory Nobel Lecture, December 11, 1965
Relativistic quantum field theory Nobel Lecture, December 11, 1965

Quantum measurement carries information even when
Quantum measurement carries information even when

Another Philosopher Looks at Quantum Mechanics - SAS
Another Philosopher Looks at Quantum Mechanics - SAS

A Modular Method for the Efficient Calculation of Ballistic Transport
A Modular Method for the Efficient Calculation of Ballistic Transport

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Quantum machine learning

Quantum machine learning is a newly emerging interdisciplinary research area between quantum physics and computer science that summarises efforts to combine quantum mechanics with methods of machine learning. Quantum machine learning models or algorithms intend to use the advantages of quantum information in order to improve classical methods of machine learning, for example by developing efficient implementations of expensive classical algorithms on a quantum computer. However, quantum machine learning also includes the vice versa approach, namely applying classical methods of machine learning to quantum information theory.Although yet in its infancy, quantum machine learning is met with high expectations of providing a solution for big data analysis using the ‘parallel’ power of quantum computation. This trend is underlined by recent investments of companies such as Google and Microsoft into quantum computing hardware and research. However, quantum machine learning is still in its infancy and requires more theoretical foundations as well as solid scientific results in order to mature to a full academic discipline.
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