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How Consciousness Becomes the Physical Universe
How Consciousness Becomes the Physical Universe

Observation of the Pairing Gap in a Strongly Interacting Quantum... Fermionic Atoms
Observation of the Pairing Gap in a Strongly Interacting Quantum... Fermionic Atoms

PPT
PPT

... The two procedures together correct up to d errors that can each be either an X-error or a Z-error — and, since Y = iXZ, they can also be Y-errors From this, a standard linearity argument can be applied to show that the code corrects up to d arbitrary errors (that is, the error can be any quantum op ...
r interaction * Michael R. Geller
r interaction * Michael R. Geller

Tina Bilban Epistemic and ontic interpretation of quantum
Tina Bilban Epistemic and ontic interpretation of quantum

... The relationship between the observer, the observation and the observed has not been seen as particularly important in classical physics, where objects of physical observation and their independence from the observer have been taken for granted. On the contrary, this question has always been seen as ...
SPS 3
SPS 3

... (photons). From this model, it is evident that if only one photon is incident on the beam splitter, then it cannot be simultaneously detected at both the detectors. In that case the joint probability of equal time photo detection at the two detectors will be zero. In this experiment we use single em ...
Quantum coherence: myth or fact?
Quantum coherence: myth or fact?

Matrix elements  for the Coulomb interaction
Matrix elements for the Coulomb interaction

Quantum Field Theory - Why and When?
Quantum Field Theory - Why and When?

... to describe quantum mechanical processes where particles are created and annihilated. Since such processes occur both in the relativistic theories describing elementary particles, and in the non-relativistic theories describing condensed matter systems,14 quantum field theory provides a unified way ...
CHEMISTRY 120A FALL 2006
CHEMISTRY 120A FALL 2006

CHEMISTRY 120A FALL 2006 Lectures: MWF 10
CHEMISTRY 120A FALL 2006 Lectures: MWF 10

Modelling in Physics and Physics Education
Modelling in Physics and Physics Education

... In previous researches we designed and implemented an educational path to construct the theoretical quantum mechanical model, following the Dirac vectorial outline, in the secondary school. In analysing the phenomenon of polarisation students are introduced to quantum concepts and construct their ne ...


Yousof Mardoukhi, Esa Räsänen Introduction Control Scheme
Yousof Mardoukhi, Esa Räsänen Introduction Control Scheme

... Quantum dots positioned on a certain lattice structure, usually square lattices, have a physical realization of cellular automata. This system is called Quantum-dot Cellular Automata (QCA). QCAs can be used for next generation of computer circutes as their time switching is fast and their energy con ...
Niels Bohr`s Philosophy of Quantum
Niels Bohr`s Philosophy of Quantum

... schematisation of things: We do no longer picture how what we study, as such, and in itself, is placed in space and time. We picture instead how features and parts of our field of study can be embedded within the concrete kinds of experiments we can perform. ...
The utterly prosaic connection between physics
The utterly prosaic connection between physics

Quantum cryptography protocols robust against photon
Quantum cryptography protocols robust against photon

PPT - Fernando Brandao
PPT - Fernando Brandao

... Larger Speed-ups with “quantum input” Result 3: There is a quantum algorithm for solving SDPs running in time m1/2poly(log(n, m), s, R, r, δ, rank) with data in quantum form Quantum Oracle Model: There is an oracle that given i, outputs the eigenvalues of Ai and its eigenvectors as quantum states ...
Available PDF download
Available PDF download

A Brief Survey Of Quantum Programming Languages
A Brief Survey Of Quantum Programming Languages

... rich enough to allow all such checks to be performed at compile-time. Also, typically these languages do not have a formal semantics, with the exception of Sanders and Zuliani’s language, which possesses an operational semantics. The various languages in this category each offer a set of advanced pro ...
Small-Depth Quantum Circuits
Small-Depth Quantum Circuits

... computers” can probably simulate physical systems more efficiently than classical ones. • Deutsch (1985) introduced quantum Turing machines, and found evidence that they can solve hard problems more efficiently than classical Turing machines. • Shor (1994) found an efficient quantum algorithm to fac ...
QUANTUM THREE-PASS PROTOCOL: KEY DISTRIBUTION USING
QUANTUM THREE-PASS PROTOCOL: KEY DISTRIBUTION USING

... photons with classical channel [17]. Ping-pong QSDC uses EPR pairs [18]. The weaknesses of the ping-pong scheme were found by Wójcik [19] and Cai [20]. They improved the ping-pong scheme. QSDC with a one-time pad is also proposed [21] [22]. Quantum dense key distribution utilizes QKD and quantum den ...
1210.0414v1
1210.0414v1

... correlations have been proposed to reveal the non-classical correlations that cannot be captured by entanglement measures [3]. Quantum phase transitions (QPTs) are critical changes in the ground states of many-body systems when one or more of its physical parameters are continuously changed at absol ...
PDF
PDF

... rich enough to allow all such checks to be performed at compile-time. Also, typically these languages do not have a formal semantics, with the exception of Sanders and Zuliani’s language, which possesses an operational semantics. The various languages in this category each offer a set of advanced pr ...
Quantum Teleportation Between Discrete and Continuous
Quantum Teleportation Between Discrete and Continuous

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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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