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Quantum gases in optical lattices
Quantum gases in optical lattices

... As 1D bosonic quantum gases become even more strongly The quantum gases in our experiments were cooled to interacting, it should be possible to enter the regime of a almost absolute zero, but they still had some finite tempera- Tonks–Girardeau gas, in which the fermionization is even ture, and this ...
Maximal Newton polygons via the quantum Bruhat graph
Maximal Newton polygons via the quantum Bruhat graph

Origin of the exponential decay of the Loschmidt echo in integrable
Origin of the exponential decay of the Loschmidt echo in integrable

Chapter 2 Foundations I: States and Ensembles
Chapter 2 Foundations I: States and Ensembles

Topics in Applied Physics Volume 115
Topics in Applied Physics Volume 115

Non-Local Realistic Theories and the Scope of the Bell theorem
Non-Local Realistic Theories and the Scope of the Bell theorem

Quantum Computation and Quantum Information 10th Anniversary
Quantum Computation and Quantum Information 10th Anniversary

CS286.2 Lectures 5-6: Introduction to Hamiltonian Complexity, QMA
CS286.2 Lectures 5-6: Introduction to Hamiltonian Complexity, QMA

... Theorem 11. (Kempe-Kitaev-Regev) 2 − LHa,b is QMA-complete for some a = 2− poly(n) and b = 1/ poly(n). The first result along these lines came from Kitaev, who showed that 5 − LH is QMA-complete. We shall show a slightly weaker version of the theorem, which will contain all the key ideas: Theorem 12 ...
daniel lowd - CIS Users web server
daniel lowd - CIS Users web server

... Summer 2004: Intern at Microsoft Research with Christopher Meek in Redmond, WA. Developed simple yet effective attacks against linear spam filters, testing filter robustness and promoting the development of more secure spam filters. June 2002 – September 2003: Research assistant for Jon Herlocker at ...
Complementarity in Quantum Mechanics and Classical Statistical
Complementarity in Quantum Mechanics and Classical Statistical

... unity of material world. In fact, wave-particle duality is a property of matter as universal as the fact that any kind of matter is able to produce a gravitational interaction. While the state of a system in classical mechanics is determined by the knowledge of the positions q and momenta p of all i ...
Why Philosophers Should Care About - Philsci
Why Philosophers Should Care About - Philsci

... If there actually were a machine with [running time] ∼ Kn (or even only with ∼ Kn2 ) [for some constant K independent of n], this would have consequences of the greatest magnitude. That is to say, it would clearly indicate that, despite the unsolvability of the Entscheidungsproblem, the mental effo ...
Approach to ergodicity in quantum wave functions
Approach to ergodicity in quantum wave functions

Leftover Hashing Against Quantum Side Information
Leftover Hashing Against Quantum Side Information

Initial Conditions from Inflation
Initial Conditions from Inflation

On the Topological Origin of Entanglement in Ising Spin Glasses
On the Topological Origin of Entanglement in Ising Spin Glasses

history of quantum computing
history of quantum computing

... standard, or “classical” physics, such as: 1. Superposition. If a system can be in state A or state B, it can also be in a “mixture” of the two states. If we measure it, we see either A or B, probabilistically. 2. Collapse. Any further measurements will give the same result. 3. Entanglement. There e ...
Steering criteria and steerability witnesses
Steering criteria and steerability witnesses

... – Many experiments realised since then strongly follow the quantum mechanical predictions, and (up to some loopholes involving Eric Cavalcanti, PIAF workshop, Sydney, February 2008 lack of space-like separation) support20 detection efficiencies and/or ...
Flow of zero-point energy and exploration of phase space in
Flow of zero-point energy and exploration of phase space in

A note on the realignment criterion
A note on the realignment criterion

Tip-Enhanced Fluorescence Microscopy at 10 Nanometer Resolution
Tip-Enhanced Fluorescence Microscopy at 10 Nanometer Resolution

... curves are exponential decays. The data are clearly consistent with a power law, and deviate systematically from the best exponential fit. Previously, both power law [7,14] and exponential [4] decays were fit to experimental data with equal success. The precision of those experiments was insufficien ...
Embracing the quantum limit in silicon computing
Embracing the quantum limit in silicon computing

Quantum computation with two-electron spins in
Quantum computation with two-electron spins in

QUANTUM COMPUTATION AND LATTICE PROBLEMS ∗ 1
QUANTUM COMPUTATION AND LATTICE PROBLEMS ∗ 1

... cannot perform in any reasonable time. One task which quantum algorithms are known to perform much better than classical algorithm is that of factoring large integers. The importance of this problem stems from its ubiquitous use in cryptographic applications. While there are no known polynomial time ...
Impurity and soliton dynamics in a Fermi gas with nearest
Impurity and soliton dynamics in a Fermi gas with nearest

... initial state is shown in panels (a) and (b) of Fig. 3. The distribution is zero at j0 − 1 and j0 , and obtains maxima at j0 − 2 and j0 + 1 when the bath fermion at j0 tunnels either to j0 − 1 or j0 + 1. The distributions result from the superposition of these two configurations. Correspondingly, th ...
Geometric phases and cyclic isotropic cosmologies
Geometric phases and cyclic isotropic cosmologies

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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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