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Reading out a quantum bit
Reading out a quantum bit

... In order to get the result of a quantum algorithm we need to read out the state of the qubits in the out register when the algorithm is done. As we will see later one also needs to read out certain qubits during the computation if we want to perform error correction. On the algorithm level a read-ou ...
Bulk Locality and Quantum Error Correction in AdS/CFT arXiv
Bulk Locality and Quantum Error Correction in AdS/CFT arXiv

... mentioned in the introduction, that is that no nontrivial operator in the CFT can commute with all local CFT operators on Σ. To avoid this contradiction it must be the case that the representations of φ(x) in different wedges are not really all the same operator on the CFT Hilbert space. We can see ...
Online Adaptable Learning Rates for the Game Connect-4
Online Adaptable Learning Rates for the Game Connect-4

Memory cost of quantum contextuality Linköping University Post Print
Memory cost of quantum contextuality Linköping University Post Print

The University of Sydney
The University of Sydney

Observation of Distinct Two-Photon Transition Channels in CdTe
Observation of Distinct Two-Photon Transition Channels in CdTe

Kondo-model for quantum-dots with spin
Kondo-model for quantum-dots with spin

Squeezed light
Squeezed light

The Violation of Bell Inequalities in the Macroworld
The Violation of Bell Inequalities in the Macroworld

Quantum computing with cavity QED
Quantum computing with cavity QED

... of this century in its name, the rising of the quantum theory and the emerging of information technology. This seems to be a powerful combination [1]. But the challenges in combining both to a new synthesis are huge. In the following a motivation for quantum computing is given and its possible eleme ...
Lecture, Week 1: September 27th - October 3rd, 1999 Outline 1
Lecture, Week 1: September 27th - October 3rd, 1999 Outline 1

Eikonal Approximation K. V. Shajesh
Eikonal Approximation K. V. Shajesh

The many-worlds interpretation of quantum - Philsci
The many-worlds interpretation of quantum - Philsci

... with a system in a measurement process in such a way that the combination of the two evolves into a superposition of the observer seeing macroscopically different apparatus pointer readings (or other macroscopic states), the observer’s consciousness “forks” or “splits,” because only those subspaces ...
Document
Document

Quantum Knots and Lattices, or a Blueprint for Quantum Systems
Quantum Knots and Lattices, or a Blueprint for Quantum Systems

... ignore the unneeded non-pertinent geometric structure of 3-space. However, if one’s objective is to use knot theory as a tool for investigating problems in physics, then this may not be the best strategy. Case in point is the set of the Reidemeister moves. These moves have become one of the major co ...
Impossibility of the Counterfactual Computation for All Possible
Impossibility of the Counterfactual Computation for All Possible

The fuzzball paradigm for black holes: FAQ
The fuzzball paradigm for black holes: FAQ

... has thus ended, without any horizon or region interior to the horizon. Note that the KK monopole is a nonperturbative construction, in the sense that if we had looked at perturbative solutions to the gauge field Aµ arising from the compact S 1 , then we would not have found this solution. This micro ...
HBNI Th65 - The Institute of Mathematical Sciences
HBNI Th65 - The Institute of Mathematical Sciences

... there have been many approaches that include Bell-type inequalities, entanglement witnesses, entropy based measures, distance (geometry) based measures, and criteria based on positive maps that are not completely positive. Quantum discord is a ‘beyond-entanglement’ quantum correlation, since there e ...
Decoherence in Solid State Qubits
Decoherence in Solid State Qubits

Four strategies for dealing with the counting anomaly
Four strategies for dealing with the counting anomaly

quant-ph/0608013 PDF
quant-ph/0608013 PDF

Word Doc - Exodus 2006
Word Doc - Exodus 2006

... The challenge is to count, or calculate, a number, not to unmask a specific man! But what a challenge this one could be? The number is declared to be 666! How could we count a number already counted? ... In my opinion, most researchers have been led astray because the ultimate value of the number is ...
Disorder-induced order with ultra-cold atoms
Disorder-induced order with ultra-cold atoms

... the phase between the pairing function and the condensate wave-function becomes fixed by disorder [Niederberger et al., 2009]. Finally, Chapter 6 shows our studies of the quantum-XY model, in which we numerically simulated onedimensional spin chains and observed signatures of disorder-induced orderi ...
Circuit QED: Superconducting Qubits Coupled to
Circuit QED: Superconducting Qubits Coupled to

... study ultra-strong coupling between ‘atoms’ and individual microwave photons (Devoret et al., 2007). The concept of the photon is a subtle one, but hopefully these notes will convince the reader that microwaves, despite their name, really are particles. We will accordingly begin our study with a rev ...
Quantum Databases
Quantum Databases

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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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