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Lecture 29B - UCSD Department of Physics
Lecture 29B - UCSD Department of Physics

Hidden Variables as Fruitful Dead Ends
Hidden Variables as Fruitful Dead Ends

The past decade has seen a substantial rejuvenation of interest in
The past decade has seen a substantial rejuvenation of interest in

... finite temperature crossovers near quantum critical points of Fermi liquids [245] to the physics of the heavy fermion compounds. A separate motivation for the study of quantum phase transitions is simply the value in having another perspective on the physics of an interacting many-body system. A tr ...
What a state function isn`t
What a state function isn`t

Quantum_Circuit_Proj.. - UTK-EECS
Quantum_Circuit_Proj.. - UTK-EECS

NEW COVER SLIDE- qinfo with p & a
NEW COVER SLIDE- qinfo with p & a

On the Einstein-Podolsky-Rosen paradox
On the Einstein-Podolsky-Rosen paradox

Fri., May 6, 12:45 pm
Fri., May 6, 12:45 pm

... Alice and Bob want to communicate with each other quantum mechanically. Let’s say that they each have a set of N (a finite number) qubits at their disposal, each entangled with one another. They decide to label qubits 1 through N, and then at a great distance at the same point in time, they measure ...
Optomechanics Experiments
Optomechanics Experiments

...  Alters the dynamics of the mirror  Spring-like forces  optical trapping  Viscous forces  optical damping  Tune the frequency response of the GW detector ...
PDF
PDF

Breaking RSA with Quantum Computing
Breaking RSA with Quantum Computing

Prog. Theor. Phys. Suppl. 138, 489 - 494 (2000) Quantum Statistical
Prog. Theor. Phys. Suppl. 138, 489 - 494 (2000) Quantum Statistical

... that a QC might be more powerful than an ordinary computer is based on the notion that a quantum system can be in any superposition of states and that interference of these states allows exponentially many computations to be done in parallel. 7) This hypothetical power of a QC might be used to solve ...
Quantum Computing - Computer Science
Quantum Computing - Computer Science

ppt - University of Toronto Physics
ppt - University of Toronto Physics

... You can do ANYTHING if you can do the following things with initialized qubits: • Unitary operations on any individual qubit: A+ B1  A' + B '1 ...
Quantum Circuits. Intro to Deutsch. Slides in PPT.
Quantum Circuits. Intro to Deutsch. Slides in PPT.

QUANTUM COMPUTING
QUANTUM COMPUTING

... because in principle we can tweak the ratio of probabilities in which the states 0 and 1 occur to any desired accuracy. When with certainty we have either 0 or 1 then this reduces to the classical case. Deutsch proposed ia quantum generalization of the TM system. The basic idea is that - rather than ...
Quantum Mechanics
Quantum Mechanics

1 Applying Quantum Optimization Algorithms for Linear Programming
1 Applying Quantum Optimization Algorithms for Linear Programming

... allows one to efficiently determine whether two sets of linear equations have the same solution [3], as well as many other simple global properties [4]. The HHL algorithm is likely to find applications in settings where the matrix A and the vector b are generated algorithmically, rather than being w ...
PowerPoint
PowerPoint

... PLAN OF THE TALK: • Why are the measurement outcomes limited to an orthogonal subset of all the possible states in the Hilbert states? (as in “Collapse”) • Why does “Born’s rule” yield probabilities? • How can “objective classical reality” -- states we can find out -- arise from the fragile quantum ...
Classical World because of Quantum Physics
Classical World because of Quantum Physics

... With cats? ...
Quantum Numbers
Quantum Numbers

... The principal quantum number (n = 1, 2, 3, 4 ...) denotes the eigenvalue of H with the J2 part removed. This number therefore has a dependence only on the distance between the electron and the nucleus (ie, the radial coordinate, r). The average distance increases with n, and hence quantum states wit ...
Dima Geshkenbian
Dima Geshkenbian

Orbitals and Quantum Numbers
Orbitals and Quantum Numbers

... An orbital is an allowed energy state of an electron in the quantum-mechanical model of the atom the term orbital is also used to describe the spatial distribution of the electron. ...


... The latest quantum trick — mapping two entangled photon states onto two separate regions of an atomic cloud, and then retrieving them — could be a fillip for applications, among them quantum cryptography. On page 67 of this issue, Choi et al.1 recount how they store two ‘entangled’ photon states in ...
ppt - HEP Educational Outreach
ppt - HEP Educational Outreach

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Quantum computing



Quantum computing studies theoretical computation systems (quantum computers) that make direct use of quantum-mechanical phenomena, such as superposition and entanglement, to perform operations on data. Quantum computers are different from digital computers based on transistors. Whereas digital computers require data to be encoded into binary digits (bits), each of which is always in one of two definite states (0 or 1), quantum computation uses quantum bits (qubits), which can be in superpositions of states. A quantum Turing machine is a theoretical model of such a computer, and is also known as the universal quantum computer. Quantum computers share theoretical similarities with non-deterministic and probabilistic computers. The field of quantum computing was initiated by the work of Yuri Manin in 1980, Richard Feynman in 1982, and David Deutsch in 1985. A quantum computer with spins as quantum bits was also formulated for use as a quantum space–time in 1968.As of 2015, the development of actual quantum computers is still in its infancy, but experiments have been carried out in which quantum computational operations were executed on a very small number of quantum bits. Both practical and theoretical research continues, and many national governments and military agencies are funding quantum computing research in an effort to develop quantum computers for civilian, business, trade, and national security purposes, such as cryptanalysis.Large-scale quantum computers will be able to solve certain problems much more quickly than any classical computers that use even the best currently known algorithms, like integer factorization using Shor's algorithm or the simulation of quantum many-body systems. There exist quantum algorithms, such as Simon's algorithm, that run faster than any possible probabilistic classical algorithm.Given sufficient computational resources, however, a classical computer could be made to simulate any quantum algorithm, as quantum computation does not violate the Church–Turing thesis.
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