Science Journals — AAAS
... enhanced performance of tasks in secure networking, simulations, distributed computing, and other key tasks where exponential speedups are available. Processing circuits to realize these applications are built up from logic gates that harness quantum effects such as superposition and entanglement. A ...
... enhanced performance of tasks in secure networking, simulations, distributed computing, and other key tasks where exponential speedups are available. Processing circuits to realize these applications are built up from logic gates that harness quantum effects such as superposition and entanglement. A ...
Occam`s Quantum Strop: Synchronizing and
... a one-dimensional spin system in a magnetic field might have most of its spins “up” with just a few “down”— defects determined by the details of spin coupling and thermal fluctuations. Though nominally the same pattern, the domains of these systems span the macroscopic to the microscopic, the multi- ...
... a one-dimensional spin system in a magnetic field might have most of its spins “up” with just a few “down”— defects determined by the details of spin coupling and thermal fluctuations. Though nominally the same pattern, the domains of these systems span the macroscopic to the microscopic, the multi- ...
3D simulation of a silicon quantum dot in
... gate. An undoped silicon dot with height 4 nm and square base L × L is embedded in the oxide layer. We consider three different dot sizes, corresponding to L = 10, 20, and 30 nm. The magnetic field is uniform along the vertical (z) direction. We assume a silicon gyromagnetic factor of 2.6. In Fig. 3 ...
... gate. An undoped silicon dot with height 4 nm and square base L × L is embedded in the oxide layer. We consider three different dot sizes, corresponding to L = 10, 20, and 30 nm. The magnetic field is uniform along the vertical (z) direction. We assume a silicon gyromagnetic factor of 2.6. In Fig. 3 ...
2005-q-0035-Postulates-of-quantum-mechanics
... • Note that since U is linear, a small-factor change in amplitude of a particular state at t1 leads to a correspondingly small change in the amplitude of the corresponding state at t2. – Chaos (sensitivity to initial conditions) requires an ensemble of initial states that are different enough to be ...
... • Note that since U is linear, a small-factor change in amplitude of a particular state at t1 leads to a correspondingly small change in the amplitude of the corresponding state at t2. – Chaos (sensitivity to initial conditions) requires an ensemble of initial states that are different enough to be ...
The speed of quantum information and the preferred frame
... In an optical EPR experiment (Fig. 1), two photons are produced in an entangled state and sent to two analyzing stations A and B. The quantum entanglement manifests itself by the interference fringes that are observed in the coincidence counts of the detectors in A and B. These interferences are pre ...
... In an optical EPR experiment (Fig. 1), two photons are produced in an entangled state and sent to two analyzing stations A and B. The quantum entanglement manifests itself by the interference fringes that are observed in the coincidence counts of the detectors in A and B. These interferences are pre ...
Surrey seminar on CQP - School of Computing Science
... A protocol allowing 2 classical bits of information to be transmitted by sending 1 qubit and making use of entanglement. Alice and Bob share an entangled pair of qubits: x, y. Alice wishes to send n (0 n 3) to Bob. There is a quantum ...
... A protocol allowing 2 classical bits of information to be transmitted by sending 1 qubit and making use of entanglement. Alice and Bob share an entangled pair of qubits: x, y. Alice wishes to send n (0 n 3) to Bob. There is a quantum ...
Derivation of the Quantum Hamilton Equations of Motion and
... three preceding papers (UFT 172 to UFT 174 on www.aias.us). In Section 2, the methods used to develop the fermion equation are used to show that in the non-relativistic limit, the Schroedinger equation of motion derives from differential geometry within the philosophy of relativity. The Schroedinger ...
... three preceding papers (UFT 172 to UFT 174 on www.aias.us). In Section 2, the methods used to develop the fermion equation are used to show that in the non-relativistic limit, the Schroedinger equation of motion derives from differential geometry within the philosophy of relativity. The Schroedinger ...
Hybrid QM/MM Car-Parrinello Simulations of
... One possible solution for the modelling of such systems is the choice of a hierarchical hybrid approach in which the whole system is partitioned into a localized chemically active region (treated with a quantum mechanical method) and its environment (treated with empirical potentials). This is the s ...
... One possible solution for the modelling of such systems is the choice of a hierarchical hybrid approach in which the whole system is partitioned into a localized chemically active region (treated with a quantum mechanical method) and its environment (treated with empirical potentials). This is the s ...
Quantum Algorithms - UCSB Computer Science
... (α 0 β 1 ) You α 0 You saw a " zero" β 1 You saw a " one" ...
... (α 0 β 1 ) You α 0 You saw a " zero" β 1 You saw a " one" ...
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.