Abstract: A coherence model predicts the coherence time of one spin qubit based on decoherence caused by a surrounding spin bath. This coherence model, which is constructed by performing cluster correlation expansion calculations of spin-bath-induced decoherence, includes a library of coherence time distributions over a parameter-space range. Using this library, maximum likelihood estimation is then performed on a set of experimental data, enabling the density of the spin bath and the dimensionality of the spin qubits to be determined, given certain geometrical constraints. Rather than relying on assumptions that average over interactions between bath spins and central qubit spins, the present embodiments simulate the dynamics of the entire interacting spin bath, producing a quantum mechanical characterization technique for quantum applications that can be incorporated into a feedforward synthesis loop.

Abstract: A molecular-spin qubit includes a molecular color center having a ground state and an excited state. The ground state has non-zero spin with at least first and second sublevels. The molecular-spin qubit also includes a host matrix that is non-isostructural with the molecular color center. The molecular color center is diluted in the host matrix. An optical transition between the ground and excited states lies in the optical region of the electromagnetic spectrum. A spin transition between the first and second sublevels lies in the microwave or millimeter-wave regions of the electromagnetic spectrum. Each of the first and second sublevels is first-order insensitive to magnetic fields near zero magnetic. The molecular color center and host matrix may each be formed from strong-field ligands bound to a metal-atom center. One example of the molecular-spin qubit is Cr(IV)(o-toyl)4 diluted in a host matrix of Sn(IV)(4-fluoro-2-methylphenyl)4.

Abstract: An electronic tag programmed with an identification in a seat belt assembly is identified by reading the programmed identification via an electronic device embedded in a seat. In response to identifying the electronic tag, a determination is made that an occupant has not fastened a seat belt of the seat belt assembly to secure the occupant in the seat.

Abstract: An electronic tag programmed with an identification in a seat belt assembly is identified by reading the programmed identification via an electronic device embedded in a seat. In response to identifying the electronic tag, a determination is made that an occupant has not fastened a seat belt of the seat belt assembly to secure the occupant in the seat.

Abstract: An electronic tag programmed with an identification in a seat belt assembly is identified by reading the programmed identification via an electronic device embedded in a seat. In response to identifying the electronic tag, a determination is made that an occupant has not fastened a seat belt of the seat belt assembly to secure the occupant in the seat.

Abstract: An electronic tag programmed with an identification in a seat belt assembly is identified by reading the programmed identification via an electronic device embedded in a seat. In response to identifying the electronic tag, a determination is made that an occupant has not fastened a seat belt of the seat belt assembly to secure the occupant in the seat.

Abstract: An electronic tag programmed with an identification in a seat belt assembly is identified by reading the programmed identification via an electronic device embedded in a seat. In response to identifying the electronic tag, a determination is made that an occupant has not fastened a seat belt of the seat belt assembly to secure the occupant in the seat.

Abstract: An electronic tag programmed with an identification in a seat belt assembly is identified by reading the programmed identification via an electronic device embedded in a seat. In response to identifying the electronic tag, a determination is made that an occupant has not fastened a seat belt of the seat belt assembly to secure the occupant in the seat.