Photon Enhanced Interaction and Entanglement in Semiconductor Position-Based Qubits

CMOS technologies facilitate the possibility of implementing quantum logic in silicon. In this work, we discuss a minimalistic modelling of entangled photon communication in semiconductor qubits. We demonstrate that electrostatic actuation is sufficient to construct and control desired potential energy profiles along a Si quantum dot (QD) structure allowing the formation of position-based qubits. We further discuss a basic mathematical formalism to define the position-based qubits and their evolution under the presence of external driving fields. Then, based on Jaynes–Cummings–Hubbard formalism, we expand the model to include the description of the position-based qubits involving four energy states coupled with a cavity. We proceed with showing an anti-correlation between the various quantum states. Moreover, we simulate an example of a quantum trajectory as a result of transitions between the quantum states and we plot the emitted/absorbed photos in the system with time. Lastly, we examine the system of two coupled position-based qubits via a waveguide. We demonstrate a mechanism to achieve a dynamic interchange of information between these qubits over larger distances, exploiting both an electrostatic actuation/control of qubits and their photon communication. We define the entanglement entropy between two qubits and we find that their quantum states are in principle entangled.

Carbon monoxide activation by atomic thorium: ground and excited state reaction pathways

Ground and excited states of ThCO and OThC isomers are studied with multi-reference configuration interaction and coupled cluster methods. The potential energy profiles connecting the states of the two nearly isoenergetic molecules are constructed.

A theoretical exploration of the nonradiative deactivation of hydrogen-bond complexes: isoindole–pyridine and quinoline–pyrrole

CC2 potential energy profiles of the ground and excited states of the isoindole–pyridine complex along the proton transfer reaction coordinate are studied.

Random Sampling Monte-Carlo Approach to Studying Entropic Elasticity Properties of Cell Proteins and Lipids

An efficient numerical Monte-Carlo method is proposed for the estimation of the entropic contribution to the elastic properties of cell protein and lipid chain biomolecules. Specific load-extension curves are obtained numerically for a group of molecules with degenerate potential energy profiles. Spread of the linear elastic regimes and dependence on the molecular weight and geometric parameters of the molecules are discussed.