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Abstracts - QCMC 2016 - Centre for Quantum Technologies
Abstracts - QCMC 2016 - Centre for Quantum Technologies

... A Schrodinger Cat Living in Two Boxes 12:10 Hanna Le Jeannic, Laboratoire Kastler Brossel Large-amplitude squeezed optical Schrödinger cat states with minimized non-Gaussian operational cost 12:30 Lunch 14:00 Alex Bocharov, Microsoft Qomputer Science at Microsoft Research 14:30 Julian Kelly, Google ...
L17-20
L17-20

... question of whether a quantum operation has a nontrivial mixed-state model is exactly the question of which operations are extreme points in the convex set of operations, as is shown in Appendix C. 3. Now that we have generalized from von Neumann measurements to quantum operations, we should ask if ...
Eigenstate Phase Transitions
Eigenstate Phase Transitions

... is the eigenstate phase transition within the ferromagnetic phase of an infinite-range spin model. By studying the interplay of the eigenstate thermalization hypothesis and Ising symmetry breaking, we find two eigenstate phase transitions within the ferromagnetic phase: In the lowest-temperature pha ...
Implementation of a combined charge-phase quantum bit - ENS-phys
Implementation of a combined charge-phase quantum bit - ENS-phys

Classical properties of quantum scattering
Classical properties of quantum scattering

Robust dynamical decoupling
Robust dynamical decoupling

The quantum states of muons in fluorides
The quantum states of muons in fluorides

Types for Quantum Computing
Types for Quantum Computing

Multi-particle qubits - Department of Physics — ETH Zurich
Multi-particle qubits - Department of Physics — ETH Zurich

... three categories and introduce each category using case studies. For each qubit encoding scheme we search for possible physical operations that will implement universal quantum computation over this qubit and, thus, pose a suitable candidate for a quantum computer architecture. We find that two of t ...
Single-exciton spectroscopy of single Mn doped InAs quantum dots
Single-exciton spectroscopy of single Mn doped InAs quantum dots

... identical peaks in CdTe. The presence of the acceptor hole also opens an additional optical recombination channel: the band-to-acceptor transition 共X0A0 → h+A−兲, such that the conduction-band electron ionizes the Mn acceptor without filling the quantum dot hole. The goal of this paper is to provide ...
- Quantum Optics Group
- Quantum Optics Group

On realism and quantum mechanics
On realism and quantum mechanics

... (QM1 ) C The probability for ν1 of passing through A is 1/2. If photon ν1 passes through A, then photon ν1 is (operationally) linearly polarized along the direction of the axis of A. Contemporaneously, photon ν2 assumes the same polarization. (QM1 ) D If photon ν1 passes through A, then photon ν2 wi ...
Chapter 14.
Chapter 14.

Chapter 1 - BYU Physics and Astronomy
Chapter 1 - BYU Physics and Astronomy

the transcendental meditation technique and quantum physics
the transcendental meditation technique and quantum physics

Three particle Hyper Entanglement: Teleportation and Quantum Key
Three particle Hyper Entanglement: Teleportation and Quantum Key

March 2002 Vol - Basarab Nicolescu
March 2002 Vol - Basarab Nicolescu

Abstracts of talks for the history of science conference, One hundred
Abstracts of talks for the history of science conference, One hundred

Ph.D. Thesis Rodrigo Gallego
Ph.D. Thesis Rodrigo Gallego

... one acquires classical information. These processes are one of the building elements of the development of scientific knowledge, as the results of measurements are to be confronted with theoretical models predicting the behavior of nature. It is often the case that the measurement process itself can ...
Lossless Quantum Data Compression and Secure Direct
Lossless Quantum Data Compression and Secure Direct

... classical computer has to carry out calculations by addressing any of these 2 N degrees of freedom. In contrast to that, the quantum computer performs his algorithms by addressing the N qubits only. The quantum processor does not have to know about linear algebra: the laws of quantum mechanics do th ...
The Status of our Ordinary Three Dimensions in a Quantum Universe 1
The Status of our Ordinary Three Dimensions in a Quantum Universe 1

... correspond in any direct way with the three dimensions of our manifest image. It is for this reason challenging to see our world as a quantum world. We are missing the account we desire in order to comfortably view the physical space of our world as higher-than-three-dimensional. We have a well-just ...
A Rigorous and Complete Proof of the Security of
A Rigorous and Complete Proof of the Security of

Quantum digital spiral imaging
Quantum digital spiral imaging

... of a target object.6–8 Our results further suggest that the combination of the spiral imaging technique with an entangled source enables a quantum analog of digital spiral imaging, which can be useful in remote sensing. A one-to-one relationship exists between the nonlocal spiral spectrum and the sp ...
Aspects of quantum information theory
Aspects of quantum information theory

... of interest. The promise of new technologies like safe cryptography and new “super computers”, capable of handling otherwise untractable problems, has excited not only researchers from many different fields like physicists, mathematicians and computer scientists, but also a large public audience. On ...
Is spacetime a quantum error-correcting code?
Is spacetime a quantum error-correcting code?

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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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