7 results about "Adiabatic process" patented technology

A paddle racket manufacturing method comprises a material preparation step, a classification step, an adiabatic step, a cooling step and a bonding step, the material preparation step preparing a plurality of processing components; the classification step classifying each of the plurality of processing components into a pre-adiabatic processing component and a non-adiabatic processing component according to a heating characteristic and a pressurizing characteristic corresponding to a material characteristic of its composition; the adiabatic step applying an adiabatic heating on the pre-adiabatic processing component according to the material characteristic to form a processing component already processed with adiabatic process; the cooling step cooling the processing component already processed with adiabatic process to normal temperature; and the bonding step using cold bonding to connect the processing component already processed with adiabatic process with the non-adiabatic processing component.

The application discloses an acceleration measurement method and device based on optical suspended microparticle centroid motion quantum state, which utilizes optical tweezers to trap a four-level atom and a nanometer microparticle in an optical cavity simultaneously, the optical cavity is driven by driving laser LC, a stable cavity optical field, i.e., cavity mode, is excited and formed in the cavity; the cavity optical field is coupled with the internal energy level transition of the atom and the centroid motion of the nanometer microparticle simultaneously, and three control lasers LES, LER and LGR are used to drive three energy level transition processes of the atom; by controlling the three control lasers LES, LER and LGR, a rapid adiabatic process and an atomic state inversion process are realized; wherein, in the process of preparing the centroid motion of the nanometer microparticle to a target Fock state, the forward rapid adiabatic process and the atomic state inversion process are iteratively executed in sequence; in the acceleration measurement process, the reverse rapid adiabatic process, the atomic state inversion process and the population transfer process based on a pi pulse are comprehensively utilized. The application can further improve the measurement sensitivity.

The application discloses a lithium niobate thin film rapid adiabatic 3dB power splitter, and relates to the technical field of integrated photonics; the lithium niobate thin film rapid adiabatic 3dB power splitter comprises, from top to bottom, an upper cladding layer, an x-cut lithium niobate thin film layer, a buried oxygen layer and a silicon substrate layer; the x-cut lithium niobate layer contains a lithium niobate thin film ridge waveguide formed by etching technology; the lithium niobate thin film waveguide comprises, in sequence, an input end tapered waveguide, an input end S-bent waveguide, a rapid adiabatic mode evolution waveguide and an output end S-bent waveguide; on the basis of a traditional linear adiabatic taper, the adiabatic parameter is combined to realize nonlinear change so as to accelerate the adiabatic process, and the length of the adiabatic power splitter is reduced while the excellent characteristics of the adiabatic power splitter, such as wideband and robustness, are retained.

Random number generation is crucial in applications such as cryptography, simulations, and statistical sampling. However, traditional methods often rely on algorithmic processes, which may not provide true randomness. An example solution may provide a computer-implemented method including: receiving a data set, a processing time, and a state count; executing one or more simulations of a quantum adiabatic process based on the data set, the processing time, the state count, an energy function, and one or more network structures, the one or more network structures including a representation of one or more initial simulated quantum bits; measuring one or more simulated values based on the one or more evolved simulated quantum bits at the end of each simulation; and outputting one or more output values based on the one or more simulated values, the one or more output values including one or more classical bit.

The invention relates to a process for the production of 1,3-butadiene from ethanol and acetaldehyde with catalyst regeneration, comprising a) reacting a feed comprising ethanol and acetaldehyde in a reactor having at least one adiabatic reaction zone comprising a supported catalyst, and b) regenerating the supported catalyst. The regeneration phase b) comprises a stripping step i. at a temperature of 300 to 400 °C, a first combustion step ii. and a second combustion step iii. at a temperature of 350 to 400 °C and a temperature of 400 to 550 °C, respectively, and a stripping step iv. at a temperature of 550 °C to 300 °C. The gas stream to each regeneration step b) i. to b) iv. is first heated and then contacted with the supported catalyst.

Random number generation is crucial in applications such as cryptography, simulations, and statistical sampling. However, traditional methods often rely on algorithmic processes, which may not provide true randomness. An example solution may provide a computer-implemented method including: receiving a data set, a processing time, and a state count; executing one or more simulations of a quantum adiabatic process based on the data set, the processing time, the state count, an energy function, and one or more network structures, the one or more network structures including a representation of one or more initial simulated quantum bits; measuring one or more simulated values based on the one or more evolved simulated quantum bits at the end of each simulation; and outputting one or more output values based on the one or more simulated values, the one or more output values including one or more classical bit.

The present application relates to compressed air energy storage technology field, specifically to a kind of compressed air energy storage gas reservoir volume calculation method, equipment and medium, the method process is as follows: collecting gas reservoir design data;Set first gas reservoir volume;Simulate gas reservoir charging process, calculate first gas reservoir air temperature;Before gas reservoir discharging, determine the temperature change of gas reservoir in intermediate idle process;Simulate gas reservoir discharging process, calculate second gas reservoir air temperature;According to the density difference before and after gas reservoir discharging, calculate second gas reservoir volume;Compare first gas reservoir volume and second gas reservoir volume, carry out iterative calculation until the difference between the two is less than or equal to threshold value, output second gas reservoir volume as final gas reservoir volume.The present application method carries out step-by-step integral iteration according to adiabatic process, can accurately calculate gas reservoir volume, avoid unnecessary waste caused by gas reservoir volume being too large.