Lecture 8: Nonclassical light • Squeezing • Photon anti
... defined measures of nonclassicality that can be applied to arbitrary quantum states, and which unambiguously can descriminate between quantum states that do have a classical counterpart and those that do not. In particular, we focus on two criteria for nonclassicality, squeezing and photon anti-bunch ...
... defined measures of nonclassicality that can be applied to arbitrary quantum states, and which unambiguously can descriminate between quantum states that do have a classical counterpart and those that do not. In particular, we focus on two criteria for nonclassicality, squeezing and photon anti-bunch ...
higgs bison
... the whole thing without using food metaphors -- molasses, soup, etc. -- which I thought was impressive. Basically, it's like this: Sub-atomic particles are either fermions or bosons. Fermions are the things you learned about in high school physics -- electrons, protons, neutrons and so on -- that sh ...
... the whole thing without using food metaphors -- molasses, soup, etc. -- which I thought was impressive. Basically, it's like this: Sub-atomic particles are either fermions or bosons. Fermions are the things you learned about in high school physics -- electrons, protons, neutrons and so on -- that sh ...
Document
... States such as |n,0> + |0,n> ("high-noon" states, for n large) have been proposed for high-resolution interferometry – related to "spin-squeezed" states. Multi-photon entangled states are the resource required for KLM-like efficient-linear-optical-quantum-computation schemes. A number of proposals f ...
... States such as |n,0> + |0,n> ("high-noon" states, for n large) have been proposed for high-resolution interferometry – related to "spin-squeezed" states. Multi-photon entangled states are the resource required for KLM-like efficient-linear-optical-quantum-computation schemes. A number of proposals f ...
Classically conformal BL extended Standard Model
... and hierarchy problem SM is classically conformal invariant except for the Higgs mass term. W.A. Bardeen, Possibility FERMILAB-CONF-95-391-T The classical conformal symmetry protects mass scale. Even in quantum level this symmetry may protect the quadratic divergences. Therefore once this symmetry i ...
... and hierarchy problem SM is classically conformal invariant except for the Higgs mass term. W.A. Bardeen, Possibility FERMILAB-CONF-95-391-T The classical conformal symmetry protects mass scale. Even in quantum level this symmetry may protect the quadratic divergences. Therefore once this symmetry i ...
PowerPoint file of HBM_part 2
... folds and thus curves this continuum The traces of these Qtargets mark paths where the wave fronts dig pitches into the continuum that combine into channels that act as geodesics. ...
... folds and thus curves this continuum The traces of these Qtargets mark paths where the wave fronts dig pitches into the continuum that combine into channels that act as geodesics. ...
What are the Eigenvalues of a Sum of Non
... Eigenvalues of odd (even) terms add = Classical convolution of probability densities (Technical note: joint densities needed to preserve all the information) Eigenvectors “fill” the proper slots ...
... Eigenvalues of odd (even) terms add = Classical convolution of probability densities (Technical note: joint densities needed to preserve all the information) Eigenvectors “fill” the proper slots ...
1 The free boson on the sphere, normal ordering, and all that
... in terms of the chiral fields X(z, z) = X(z) + X(z). a) Recall from the lecture the definition of the normal ordering prescription : . . . : employed above. Give the general relation between normal ordered and radially ordered operators. b) Give the correlator hX(z)X(w)i for the field X(z). Compare ...
... in terms of the chiral fields X(z, z) = X(z) + X(z). a) Recall from the lecture the definition of the normal ordering prescription : . . . : employed above. Give the general relation between normal ordered and radially ordered operators. b) Give the correlator hX(z)X(w)i for the field X(z). Compare ...
Abstract
... Measurements of the small wave tilt using the optical vortex interferometer with the Wollaston prism Agnieszka Popiołek-Masajada, Piotr Kurzynowski, Władysław A. Woźniak, Monika Borwińska, Institute of Physics, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland ...
... Measurements of the small wave tilt using the optical vortex interferometer with the Wollaston prism Agnieszka Popiołek-Masajada, Piotr Kurzynowski, Władysław A. Woźniak, Monika Borwińska, Institute of Physics, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland ...
The Future of Computer Science
... that involves waiting outside a black hole for ~1070 years, collecting all the Hawking photons it emits, doing a quantum computation on them, then jumping into the black hole to observe that your computation “nonlocally destroyed” the structure of spacetime inside the black hole Harlow-Hayden (2013) ...
... that involves waiting outside a black hole for ~1070 years, collecting all the Hawking photons it emits, doing a quantum computation on them, then jumping into the black hole to observe that your computation “nonlocally destroyed” the structure of spacetime inside the black hole Harlow-Hayden (2013) ...
Quantum Speed-ups for Gibbs Sampling
... - Player A chooses density matrix Xt - Player B chooses matrix 0 < Mt
... - Player A chooses density matrix Xt - Player B chooses matrix 0 < Mt
A Unique Quantum Random Number Generator using Bosonic
... References: [1] M. Luby. Pseudorandomness and Cryptographic Applications. Princeton Univ Press (1996). [2] I. Kanter, Y. Aviad, I. Reidler, E. Cohen and M. Rosenbluh. An optical ultrafast random bit generator Nature Photonics 4, 58 (2010). [3] N. Gisin, G. Ribordy, W. Tittel, H. Zbinden. Quantum Cry ...
... References: [1] M. Luby. Pseudorandomness and Cryptographic Applications. Princeton Univ Press (1996). [2] I. Kanter, Y. Aviad, I. Reidler, E. Cohen and M. Rosenbluh. An optical ultrafast random bit generator Nature Photonics 4, 58 (2010). [3] N. Gisin, G. Ribordy, W. Tittel, H. Zbinden. Quantum Cry ...
SPS 3
... The emitted photons are allowed to enter a Hanbury Brown-Twiss setup. The beamsplitter of the Hanbury Brown-Twiss setup directed about half of the incident photons to APD 1 and the other half to APD 2. These two APD's are used to compensate a dead time of each detector in measuring the time interval ...
... The emitted photons are allowed to enter a Hanbury Brown-Twiss setup. The beamsplitter of the Hanbury Brown-Twiss setup directed about half of the incident photons to APD 1 and the other half to APD 2. These two APD's are used to compensate a dead time of each detector in measuring the time interval ...
Statistical Methods MT2007 Analysis of Sampling Plans
... where the sums are confined to units in the sample, the Yates–Grundy–Sen variance estimator. Notice this requires πjk > 0 if πi > 0, πk > 0, and that small selection probabilities lead to high variance (unless for units with small yj ). The Horvitz–Thompson estimator is not always a very good estima ...
... where the sums are confined to units in the sample, the Yates–Grundy–Sen variance estimator. Notice this requires πjk > 0 if πi > 0, πk > 0, and that small selection probabilities lead to high variance (unless for units with small yj ). The Horvitz–Thompson estimator is not always a very good estima ...
Sampled DFA
... Such a resulting automaton is a simple DFA and does not require additional information on the states or on the transitions. ...
... Such a resulting automaton is a simple DFA and does not require additional information on the states or on the transitions. ...
Sufficient Conditions for Efficient Classical Simulation of Quantum
... computer, provided the PQDs can be efficiently generated: α is chosen from the input probability distribution Pðαjρin Þ; given α, β is chosen according to the probability distribution PE ðβjαÞ; finally, given β, n is chosen according to the measurement distribution π M QΠ ðnjβÞ. Applying this proced ...
... computer, provided the PQDs can be efficiently generated: α is chosen from the input probability distribution Pðαjρin Þ; given α, β is chosen according to the probability distribution PE ðβjαÞ; finally, given β, n is chosen according to the measurement distribution π M QΠ ðnjβÞ. Applying this proced ...
Lecture 22: Simon`s Problem and towards Shor 1 Overview 2
... could be more efficient than the turing machine model, query complexity in the last example. In this lecture, we shall inspect one more problem, which in a way is a true separation from the classical and quantum model since it beats even randomized algorithms on classical turing machines. The techni ...
... could be more efficient than the turing machine model, query complexity in the last example. In this lecture, we shall inspect one more problem, which in a way is a true separation from the classical and quantum model since it beats even randomized algorithms on classical turing machines. The techni ...
Document
... given that we detected one at t=0. If photons are coming in sparse intervals: τ=0 is a surprise! We can modify our classical picture of photons: we can think of photons as coming in bunches ...
... given that we detected one at t=0. If photons are coming in sparse intervals: τ=0 is a surprise! We can modify our classical picture of photons: we can think of photons as coming in bunches ...
vuletic
... Cooling and trapping techniques Stabilizing Ions with Light Ions are a promising qubit for quantum computation. Ions are standardly trapped with time varying (RF) electric fields. These traps are limited in size and by micromotion, residual motion inherent in these RF traps. We are developing a new ...
... Cooling and trapping techniques Stabilizing Ions with Light Ions are a promising qubit for quantum computation. Ions are standardly trapped with time varying (RF) electric fields. These traps are limited in size and by micromotion, residual motion inherent in these RF traps. We are developing a new ...
CS 294-5: Statistical Natural Language Processing
... Why sample? Learning: get samples from a distribution you don’t know Inference: getting a sample is faster than computing the right answer (e.g. with variable elimination) ...
... Why sample? Learning: get samples from a distribution you don’t know Inference: getting a sample is faster than computing the right answer (e.g. with variable elimination) ...