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Quantum computation of scattering in scalar quantum field theories
Quantum computation of scattering in scalar quantum field theories

... large amount of effort devoted to finding additional quantum algorithms offering exponential speedup. This turns out to be very difficult. At present, only relatively few problems have been discovered admitting exponential quantum speedup [7], including simulating nonrelativistic many-body quantum s ...
Interpreting Heisenberg Interpreting Quantum States - Philsci
Interpreting Heisenberg Interpreting Quantum States - Philsci

... will be based on a rather small number of passages I shall quote, considering various possible readings of these, even though there are certainly many more passages in his later writings that might be relevant with respect to the points at issue. The main reason for proceeding in this way is that th ...
PDF
PDF

A Classical-Light Attack on Energy-Time Entangled Quantum Key Distribution, and Countermeasures
A Classical-Light Attack on Energy-Time Entangled Quantum Key Distribution, and Countermeasures

... Headquarters (GCHQ) in the United Kingdom declassified information that revealed a similar discovery made several years earlier [7, pp. 283–290]. Due to the secret nature of intelligence work, the original inventors at GCHQ had to wait over two decades before their achievement was recognized publicl ...
Fractional @ Scaling for Quantum Kicked Rotors without Cantori
Fractional @ Scaling for Quantum Kicked Rotors without Cantori

... has already been experimentally realized with cold atoms [10] and its fractional scaling occurs over a much broader range of p than for the usual DKP, this feature of the atomic momentum distributions is particularly amenable to experimental study. Here we introduce a system which is random but clos ...
Heralded Single-Magnon Quantum Memory for Photon Polarization States
Heralded Single-Magnon Quantum Memory for Photon Polarization States

... a (not revealed) polarization state j c i as a magnon ji. At tr ¼ tw þ L =4 ¼ 1:5 s, when the atomic spins point along the resonator axis ^z, the z^ -polarized read beam, tuned to the F ¼ 3 ! F0 ¼ 2 transition, is applied for 100 ns  L . The read beam addresses a  transition, such that collec ...
Investigating incompatibility: How to reconcile complementarity with EPR  C
Investigating incompatibility: How to reconcile complementarity with EPR C

... These are two different modes of incompatibility. There are deep going, logical reasons behind these alternative modes of Incompatibility, which will be brought out in full in due time. For the time being, and for the task at hand, suffice it to say that if a pair of complementary quantities such as ...
arXiv:1312.4758v2 [quant-ph] 10 Apr 2014
arXiv:1312.4758v2 [quant-ph] 10 Apr 2014

History of Quantum Mechanics or the Comedy of Errors1 Jean
History of Quantum Mechanics or the Comedy of Errors1 Jean

History of Quantum Mechanics or the Comedy of Errors
History of Quantum Mechanics or the Comedy of Errors

The world according to quantum mechanics (or, the 18 errors of
The world according to quantum mechanics (or, the 18 errors of

Revista Mexicana de Física . Darboux-deformed barriers
Revista Mexicana de Física . Darboux-deformed barriers

... of the Schrödinger equation for a radial symmetric potential (see also [2, 3]) and found that the involved eigenvalues are complex ² = E − iΓ/2, Γ > 0. Thus, Gamow functions ΨG represent quasi-stationary (resonant) states (E and Γ−1 are the energy and lifetime, respectively). Resonant states u are ...
The classical and quantum Fourier transform
The classical and quantum Fourier transform

Time-Space Efficient Simulations of Quantum Computations
Time-Space Efficient Simulations of Quantum Computations

... known time-space lower bounds for classical algorithms (see [37] for a survey) hold for models with random access to the input and memory. This makes the lower bounds more meaningful as they do not exploit artifacts due to sequential access. Extending the standard quantum Turing machine model [8] t ...
Document
Document

Entropic Test of Quantum Contextuality
Entropic Test of Quantum Contextuality

gaussian wavepackets
gaussian wavepackets

... colleague, Albyn Jones—has led me to the speculative perception that “the quantum world, under certain circumstances, appears classical” for ultimately the same reason that experiments repeated many times over can be expected to yield results of high accuracy, and that the statistical properties of ...
Fractional quantum Hall effect in graphene
Fractional quantum Hall effect in graphene

Necessary and Sufficient Conditions for an Quantum Mechanical Systems
Necessary and Sufficient Conditions for an Quantum Mechanical Systems

field concepts and the emergence of a holistic
field concepts and the emergence of a holistic

arXiv:0905.2946v1 [cond-mat.str-el] 18 May 2009
arXiv:0905.2946v1 [cond-mat.str-el] 18 May 2009

Fact Sheet: Bringing Artificial Intelligence to Life
Fact Sheet: Bringing Artificial Intelligence to Life

... formation of complex pathways in a neural network. Many of us already benefit from these algorithms, which are used for the facial recognition/tagging feature on social media, voice recognition on our smartphones, semi-autonomous vehicle control, and many more applications. Intel Technologies for Ma ...
referring
referring

... in this paper is not generally followed in undergraduate quantum mechanics courses, in contrast, for example, to Einstein’s approach in the teaching of relativity. Indeed Heisenberg’s paper is widely regarded as being difficult to understand and of mainly historical interest today. For example, Wein ...
Theory of Brain Function, Quantum Mechanics and Superstrings
Theory of Brain Function, Quantum Mechanics and Superstrings

achieving 128-bit security against quantum attacks in openvpn
achieving 128-bit security against quantum attacks in openvpn

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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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