Properties and detection of spin nematic order in strongly correlated
... (curves) maintain their integrity. A spin nematic state is a linear superposition of fluctuating domain configurations such as these. Within each domain, the staggered magnetization (arrows) is well defined, and it flips sign across the anti-phase domain walls. Due to fluctuations, translational sym ...
... (curves) maintain their integrity. A spin nematic state is a linear superposition of fluctuating domain configurations such as these. Within each domain, the staggered magnetization (arrows) is well defined, and it flips sign across the anti-phase domain walls. Due to fluctuations, translational sym ...
Building and bounding quantum Bernoulli factories
... of a state preparation oracle is considered in [4], but the oracle there is built to hide quantum states rather than a probability. The kinds of Bernoulli factories considered in this paper are included in Table I. Some types are newly defined and others have already been studied in the literature. ...
... of a state preparation oracle is considered in [4], but the oracle there is built to hide quantum states rather than a probability. The kinds of Bernoulli factories considered in this paper are included in Table I. Some types are newly defined and others have already been studied in the literature. ...
Computational Methods for Simulating Quantum Computers
... computer memory that is needed to simulate a quantum spin system of L spins on a conventional digital computer. The dimension D of the Hilbert space (i.e. the number of amplitudes ai ) spanned by the L spin-1/2 states is D = 2L . For applications that require highly optimized code, it is often more ...
... computer memory that is needed to simulate a quantum spin system of L spins on a conventional digital computer. The dimension D of the Hilbert space (i.e. the number of amplitudes ai ) spanned by the L spin-1/2 states is D = 2L . For applications that require highly optimized code, it is often more ...
Matrix Mechanics and Wave Mechanics - Philsci
... attempted to reduce them to essentially corpuscular properties. Schrödinger perceived the field-like continuity of some key micro-physical phenomena (e.g., those related to the double-slit experiments), as they were accounted for by Wave Mechanics, as its main advantage over the old quantum mechanic ...
... attempted to reduce them to essentially corpuscular properties. Schrödinger perceived the field-like continuity of some key micro-physical phenomena (e.g., those related to the double-slit experiments), as they were accounted for by Wave Mechanics, as its main advantage over the old quantum mechanic ...
Inner and outer edge states in graphene rings: A numerical
... 4共b兲兴. The corresponding electronic structures as a function of magnetic field are shown in Figs. 4共c兲 and 4共d兲. The number of hexagonal plaquettes in each side of the hexagonal dot considered is Nout = 13 共the counting for armchair edge terminations takes in account only the outermost plaquettes兲, ...
... 4共b兲兴. The corresponding electronic structures as a function of magnetic field are shown in Figs. 4共c兲 and 4共d兲. The number of hexagonal plaquettes in each side of the hexagonal dot considered is Nout = 13 共the counting for armchair edge terminations takes in account only the outermost plaquettes兲, ...
(Super) Oscillator on CP (N) and Constant Magnetic Field
... The harmonic oscillator plays a distinguished role in theoretical and mathematical physics, due to its overcomplete symmetry group. The wide number of hidden symmetries provides the oscillator with unique properties, e.g. closed classical trajectories, the degeneracy of the quantum-mechanical energy ...
... The harmonic oscillator plays a distinguished role in theoretical and mathematical physics, due to its overcomplete symmetry group. The wide number of hidden symmetries provides the oscillator with unique properties, e.g. closed classical trajectories, the degeneracy of the quantum-mechanical energy ...
Finding shortest lattice vectors faster using quantum search
... small. Construct an algorithm “Search” that, given L and f as input, returns an e ∈ L with f (e) = 1, or determines that (with high probability) no such e exists. We assume for simplicity that f can be evaluated in unit time. Classical algorithm. With classical computers, the natural way to find suc ...
... small. Construct an algorithm “Search” that, given L and f as input, returns an e ∈ L with f (e) = 1, or determines that (with high probability) no such e exists. We assume for simplicity that f can be evaluated in unit time. Classical algorithm. With classical computers, the natural way to find suc ...
From optimal state estimation to efficient quantum algorithms
... (e.g., coset states for HSP) • Express the states in terms of an average-case algebraic problem (e.g., subset sum for dihedral HSP) • Perform the pretty good measurement on k copies of the states: - Choose k large enough that the measurement succeeds with reasonably high probability (this happens if ...
... (e.g., coset states for HSP) • Express the states in terms of an average-case algebraic problem (e.g., subset sum for dihedral HSP) • Perform the pretty good measurement on k copies of the states: - Choose k large enough that the measurement succeeds with reasonably high probability (this happens if ...
vector. - cloudfront.net
... In 2D Kinematics displacement is a vector whose magnitude is the straightline distance from the initial to the final point of the motion. The direction points towards the final location of the object. Like mentioned in 1D Kinematics, the displacement is meant to describe the change in position, and ...
... In 2D Kinematics displacement is a vector whose magnitude is the straightline distance from the initial to the final point of the motion. The direction points towards the final location of the object. Like mentioned in 1D Kinematics, the displacement is meant to describe the change in position, and ...
