Abstract:
We investigate the effect of quantisation of vibrational modes on a system in which the transport path is through a quantum dot mounted on a cantilever or spring such that tunnelling to and from the dot is modulated by the oscillation. We consider here the implications of quantum aspects of the motion. Peaks in the current voltage characteristic are observed which correspond to avoided level crossings in the eigenvalue spectrum. Transport occurs through processes in which phonons are created. This provides a path for dissipation of energy as well as a mechanism for driving the oscillator, thus making it easier for electrons to tunnel onto and off the dot and be ferried across the device.

Abstract:
A which-way device is one which is designed to detect which of 2 paths is taken by a quantum particle, whether Schr\"odinger's cat is dead or alive. One possible such device is represented by an Aharonov-Bohm ring with a quantum dot on one branch. A charged cantilever or spring is brought close to the dot as a detector of the presence of an electron. The conventional view of such a device is that any change in the state of the cantilever implies a change in the electron state which will in turn destroy the interference effects. In this paper we show that it is in fact possible to change the state of the oscillator while preserving the quantum interference phenomenon.

Abstract:
It has been hypothesized that the evolution of modern human cognition was catalyzed by the development of jointly intentional modes of behaviour. From an early age (1-2 years), human infants outperform apes at tasks that involve collaborative activity. Specifically, human infants excel at joint action motivated by reasoning of the form "we will do X" (shared intentions), as opposed to reasoning of the form "I will do X [because he is doing X]" (individual intentions). The mechanism behind the evolution of shared intentionality is unknown. Here we formally model the evolution of jointly intentional action and show under what conditions it is likely to have emerged in humans. Modelling the interaction of hunter-gatherers as a coordination game, we find that when the benefits from adopting new technologies or norms are low but positive, the sharing of intentions does not evolve, despite being a mutualistic behaviour that directly benefits all participants. When the benefits from adopting new technologies or norms are high, such as may be the case during a period of rapid environmental change, shared intentionality evolves and rapidly becomes dominant in the population. Our results shed new light on the evolution of collaborative behaviours.

Abstract:
An original quantum foundations concept of a deep learning computational Universe is introduced. The fundamental information of the Universe (or Triuniverse) is postulated to evolve about itself in a Red, Green and Blue (RGB) tricoloured stable self-mutuality in three information processing loops. The colour is a non-optical information label. The information processing loops form a feedback-reinforced deep learning macrocycle with trefoil knot topology. Fundamental information processing is driven by ψ-Epistemic Drive, the Natural appetite for information selected for advantageous knowledge. From its substrate of Mathematics, the knotted information processing loops determine emergent Physics and thence the evolution of super-emergent Life (biological and artificial intelligence). RGB-tricoloured information is processed in sequence in an Elemental feedback loop (R), then an Operational feedback loop (G), then a Structural feedback loop (B) and back to an Elemental feedback loop (R), and so on around the trefoil in deep learning macrocycles. It is postulated that hierarchical information correspondence from Mathematics through Physics to Life is mapped and conserved within each colour. The substrate of Mathematics has RGB-tricoloured feedback loops which are respectively Algebra (R), Algorithms (G) and Geometry (B). In Mathematics, the trefoil macrocycle is Algebraic Algorithmic Geometry and its correlation system is a Tensor Neural Knot Network enabling Qutrit Entanglement. Emergent Physics has corresponding RGB-tricoloured feedback loops of Quantum Mechanics (R), Quantum Deep Learning (G) and Quantum Geometrodynamics (B). In Physics, the trefoil macrocycle is Quantum Intelligent Geometrodynamics and its correlation system is Quantum Darwinism. Super-emergent Life has corresponding RGB-tricoloured loops of Variation (R), Selection (G) and Heredity (B). In the evolution of Life, the trefoil macrocycle is Variational Selective Heredity and its correlation ecosystem is Darwin’s ecologically “Entangled Bank”.

Abstract:
Entropic gravity theories propose that spacetime and gravity emerge from quantum information entanglements. Vacuum spacetime emerges in the ground state and its area law for entanglement entropy is due to short-range entanglement of neighbouring microscopic degrees of freedom. Matter changes the entanglement entropy in this vacuum and leads to Einstein gravity. Additionally, in a positive dark energy de Sitter Universe, where each conscious agent has a cosmological horizon, a volume law contribution to entanglement entropy is divided evenly over the same degrees of freedom and is caused by long-range entanglement. I propose these complementary shortrange and long-range entanglement contributions form a nested small-world network which provides the topological quantum computing foundation for relativistic multi-agent correlations which weave together a universal physics of Nature. The volume law contribution to entanglement entropy surpasses the area law for entanglement entropy at an agent’s cosmological horizon. Verlinde interprets gravitational “dark matter” phenomena as polymer-like memory effects caused by the volume contribution to the entanglement entropy. I propose these phenomena are instead multi-agent quantum computational consensus effects due to an equivalent volume contribution to the entanglement entropy. Life is correlated with its environment. Phenomena attributed to unseen “dark matter” particles are proposed here to be founded upon nested observer halos, “spheres of influence or correlation”, caused by the consensus Agency of Life. Suitable cosmological conditions for earliest Life in the Universe occurred some 10 billion years ago and older galaxies do not exhibit “dark matter” phenomena. Also, galactic rotation curves flatten beyond their high-radiation centres, due to astrobiology and the Agency of Life living in outlying low-radiation habitable zones. Where baryonic matter is in motion, then the Agency of Life stores its baryonic matter-lagging memory in skewed trails of apparent “dark matter” phenomena in spacetime.

Abstract:
Conscious agency is considered to be founded upon a quantum state of mind . An original synthesis, called “Lithium Quantum Consciousness” (LQC), proposes that this quantum state utilises lithium-6 (spin-1) qutrit nuclear magnetic resonance (NMR) quantum information processing (QIP) in the connectome (brain-graph). In parallel to the connectome’s processing of physiological controls, perception, cognition and intelligence via quantum electrodynamics (QED), the connectome also functions via its dynamic algebraic topology as a unitary transceiver antenna laced with lithium-6 nuclei which are spin-entangled with each other and with the environmental vortical gluon field via quantum chromodynamics (QCD). This unitary antenna (connectome) bestows the self its unity of consciousness within an intertwined-history multi-agent environment. An equivalence is proposed between Whitehead’s occasions of experience and topological spacetime instantons in the vortical gluon field. Topological spacetime instantons pervade the vortical gluon field in a quantum information network of vortex interactions, herein termed the “instanton-net”, or “Instanet” [sic]. The fermionic isotope lithium-6 has a very low nuclear binding energy and the smallest non-zero nuclear electric quadrupole moment of any stable nucleus making it susceptible to quantum chromodynamic (QCD) interaction with the vortical gluon field and ideal for spin-1 qutrit NMR-QIP. The compact spherical atomic orbital of lithium provides ideal rotational freedom inside tetrahedral water cages in organo^{6}Li^{+}(H_{2}O)_{4} within which the lithium nucleus rapidly tumbles for NMR motional narrowing and long decoherence times. Nuclear spin-entanglement, among water-caged lithium-6 nuclei in the connectome, is a spin-1 qutrit NMR-QIP resource for conscious agency. By contrast, similar tetrahedral xenon cages in organo6Li+Xe4 excimers are postulated to decohere the connectome’s NMR-QIP due to xenon’s NMR signal being extremely sensitive to its molecular environment. By way of this quantum neurochemistry, lithium is an effective psychiatric medication for enhancing mood and xenon is an effective anaesthetic.

Abstract:
Cosmologies are developed by physicists and
philosophers to explain our experiences of the evolving cosmos. Intelligent
deep-learning metaheuristics provide original frameworks for cosmologies which
are founded on quantum information. Mathematical standard models of physical
cosmology and particle physics formalize an abundance of observations, yet
there is no scientific consensus about how these models include our conscious
experiences and fundamental philosophiesofinformation. Furthermore, Naturalness in physics is coupled to the
related problem of fine-tuning. To address these foundational problems, within
the quantum information paradigm,whilst aligning with
standard scientific models, I introduce a topological deep-learning cosmology
metaheuristic. Braided, 3-coloured, world-strands are proposed to be the
fundamental quantum information tracts (ethereal fibre bundles) of our evolving
Triuniverse. This Braided Loop Metaheuristic comprises eternally evolving
deep-learning feedback loops of superposed, braided, 3-coloured, quantum
information world-strands, which process (in 3-level qutrit states)
foundational properties coined Algebrus (labelled red), Algorithmus (labelled
green) and Geometrus (labelled blue). Braids split from 1→2→3 (in knot
representation respectively: closed loop→trefoilknot→Borromean loops) thence combine from 3→2→1 to form eternally
evolving deep-learning loops. This cosmology metaheuristic simultaneously
incorporates initial Laws of Form; Emergentism (from substrate Mathematics,
through Quantum Physics to Life); Consciousness (as a superposed triunity of
Implicate Order, Process Philosophy and Aesthetic Relationalism); Reductionism
(from Life, through Quantum Physics to Pure Mathematics expressed as Logical
Axioms, Laws of Parsimony and Ideal Form); and the Braided Loop Metaheuristic
reboots its eternal cycle with the initial Laws of Form.An agent’spersonal anthropic Braided
Loop Metaheuristic

Abstract:
Degrees of freedom in deep learning, quantum
cosmological, information processing are shared and evolve through a
self-organizing sequence of optimal, non-antipodal, spherical codes, . This Tribonacci
Quantum Cosmology model invokes four codes: 1-vertex,
3-vertex (great circle equilateral triangle), 4-vertex (spherical tetrahedron)
and 24-vertex (spherical snub cube). The vertices are einselected centres of coherent
quantum information that maximise their minimum separation and survive
environmental decoherence on a noisy horizon. Twenty-four 1-vertex codes, , self-organize into eight 3-vertex codes, , which self-organize into one 24-vertex code, , isomorphic to dimensions of
24-spacetime and 12(2) generators of SU(5). Snub cubical
24-vertex code chirality causes matter asymmetries and the corresponding
graph-stress has normal and shear components relating to respective sides of
Einstein’s tensor equivalence . Cosmological scale factor and Hubble parameter evolution is
formalized as an Ostwald-coarsening function of time,
scaled by the tribonacci constant (T≈1.839) property of the snub
cube. The 24-vertex code coarsens to a broadband 4-vertex code,
isomorphic to emergent 4-spacetime and antecedent structures in 24-spacetime
metamorphose to familiar 4-spacetime forms. Each of the coarse code’s
4-vertices has 6-fold parallelized degrees of freedom (conserved from the
24-vertex code), , so 4-spacetime is properly denoted 4(6)-spacetime.
Cosmological parameters are formalized: CMB

Abstract:
We investigate two approaches for estimating formation permeability based on microseismic data. The two approaches differ in terms of the mechanism that triggers the seismicity: pore-pressure triggering mechanism and the so-called seepage-force (or effective stress) triggering mechanism. Based on microseismic data from a hydraulic fracture experiment using water and supercritical CO2 injection, we estimate permeability using the two different approaches. The microseismic data comes from two hydraulic stimulation treatments that were performed on two formation intervals having similar geological, geomechanical, and in situ stress conditions, yet different injection fluid was used. Both approaches (pore-pressure triggering, and the seepage-force triggering) provide estimates of permeability within the same order of magnitude. However, the seepage-force mechanism (i.e., effective stress perturbation) provides more consistent estimates of permeability between the two different injection fluids. The results show that permeability estimates using microseismic monitoring have strong potential to constrain formation permeability limitations for large-scale CO2 injection. 1. Introduction Fracture stimulation has been applied for the past 60 years to enhance recovery from hydrocarbon reservoirs, with an estimated 70% of wells being fracture stimulated, and hence is a key factor in the economic exploitation of unconventional reserves, such as tight-gas and shale-gas reservoirs [1]. Over the past 20 years, microseismic monitoring has developed into one of the most effective methods of monitoring fracture stimulation and hence is routinely applied to monitor fracture stimulation programs. The spatial and temporal variations in microseismicity can be used to monitor changes in the stress field and hence potentially be used to monitor perturbations in fluid pathways as well as top-seal and well-bore integrity. Furthermore, microseismicity has been used also to characterise spatial and temporal variations within the reservoir and surrounding rock mass by monitoring changes in seismic attributes between the source and receiver (e.g., shear-wave splitting analysis to characterise fracture-induced anisotropy [2–4]). Additional information can be gained by evaluating microseismic failure mechanisms to characterise the rock mass at the source and provide a measure of the strength, orientation, and type of elastic failure to potentially quantify damage (e.g., [5–7]). Although microseismicity can provide fairly accurate temporal and spatial locations of brittle failure, how