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Regular Structures
Regular Structures

Quantum Machine Learning Algorithms: Read the
Quantum Machine Learning Algorithms: Read the

Quantum Wires and Quantum Point Contacts
Quantum Wires and Quantum Point Contacts

Quantum-assisted biomolecular modelling
Quantum-assisted biomolecular modelling

Computing with Atoms and Molecules
Computing with Atoms and Molecules

A quantum mechanical model of adaptive mutation
A quantum mechanical model of adaptive mutation

... RNA and protein will differ only at single residues and, therefore, only involve relatively small-scale atomic displacements for very small numbers of particles. We propose that under these conditions, quantum coherence persists within the cell for a relatively long period of time, tD1, before decoh ...
Communicating quantum processes
Communicating quantum processes

Finite Quantum Measure Spaces
Finite Quantum Measure Spaces

Dissipative decoherence in the Grover algorithm
Dissipative decoherence in the Grover algorithm

Quantum Imaging beyond the Diffraction Limit by
Quantum Imaging beyond the Diffraction Limit by

... de Broglie wavelength of N photons, each with classical wavelength , can be as small as =N. It is especially desirable for imaging applications to take advantage of the small de Broglie length scale, since the resolution of classical optical imaging is limited by the size of , according to the Ra ...
The death of Schrödinger`s cat and of consciousness
The death of Schrödinger`s cat and of consciousness

QUANTUM PHYSICS AND PHILOSOPHY
QUANTUM PHYSICS AND PHILOSOPHY

Titles and Abstracts - The Institute of Mathematical Sciences
Titles and Abstracts - The Institute of Mathematical Sciences

Notes on the “Advanced Tools and Concepts” section of the full day
Notes on the “Advanced Tools and Concepts” section of the full day

Classical limit and quantum logic - Philsci
Classical limit and quantum logic - Philsci

M06/11
M06/11

Physics from Computer Science — a position statement —
Physics from Computer Science — a position statement —

Quantum Turing Test
Quantum Turing Test

= ∫ ∫ - at www.arxiv.org.
= ∫ ∫ - at www.arxiv.org.

ppt - Zettaflops
ppt - Zettaflops

1203.3054v2
1203.3054v2

Quantum error correcting codes and Weyl commutation relations
Quantum error correcting codes and Weyl commutation relations

aps13-bohr - Caltech Particle Theory
aps13-bohr - Caltech Particle Theory

Small-Depth Quantum Circuits
Small-Depth Quantum Circuits

... (In fact, when r is a power of 2, the “bad” states cancel exactly.) ...
An Exploration of Powerful Power of Thought Experiences
An Exploration of Powerful Power of Thought Experiences

... internal feeling and releasing the desire for the manifestation (M) is routinely suggested as directly related to how quickly and thoroughly it comes about (e.g., Braden, 2006; Maurey, 1990; Boone, 1992). Support within Quantum Mechanics So, can we find theoretical support for any of these notions w ...
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Quantum cognition

Quantum cognition is an emerging field which applies the mathematical formalism of quantum theory to model cognitive phenomena such as information processing by the human brain, decision making, human memory, concepts and conceptual reasoning, human judgment, and perception. The field clearly distinguishes itself from the quantum mind as it is not reliant on the hypothesis that there is something micro-physical quantum mechanical about the brain. Quantum cognition is based on the quantum-like paradigm or generalized quantum paradigm or quantum structure paradigm that information processing by complex systems such as the brain, taking into account contextual dependence of information and probabilistic reasoning, can be mathematically described in the framework of quantum information and quantum probability theory.Quantum cognition uses the mathematical formalism of quantum theory to inspire and formalize models of cognition that aim to be an advance over models based on traditional classical probability theory. The field focuses on modeling phenomena in cognitive science that have resisted traditional techniques or where traditional models seem to have reached a barrier (e.g., human memory ), and modeling preferences in decision theory that seem paradoxical from a traditional rational point of view (e.g., preference reversals ). Since the use of a quantum-theoretic framework is for modeling purposes, the identification of quantum structures in cognitive phenomena does not presuppose the existence of microscopic quantum processes in the human brain.
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