Provided herein are methods for processing and/or detecting a sample. A method can comprise providing a barrier between a first region and a second region, wherein the first region comprises the sample, wherein the barrier maintains the first region at a first atmosphere that is different than a second atmosphere of the second region, wherein a portion of the barrier comprises a fluid in coherent motion; and using a detector at least partially contained in the first region to detect one or more signals from the sample while the first region is maintained at the first atmosphere that is different than the second atmosphere of the second region. The portion of the barrier comprising fluid may have a pressure lower than the first atmosphere, the second atmosphere, or both.

Provided herein are methods for processing and/or detecting a sample. A method can comprise providing a barrier between a first region and a second region, wherein the first region comprises the sample, wherein the barrier maintains the first region at a first atmosphere that is different than a second atmosphere of the second region, wherein a portion of the barrier comprises a fluid in coherent motion; and using a detector at least partially contained in the first region to detect one or more signals from the sample while the first region is maintained at the first atmosphere that is different than the second atmosphere of the second region. The portion of the barrier comprising fluid may have a pressure lower than the first atmosphere, the second atmosphere, or both.

Provided herein are methods for processing and/or detecting a sample. A method can comprise providing a barrier between a first region and a second region, wherein the first region comprises the sample, wherein the barrier maintains the first region at a first atmosphere that is different than a second atmosphere of the second region, wherein a portion of the barrier comprises a fluid in coherent motion; and using a detector at least partially contained in the first region to detect one or more signals from the sample while the first region is maintained at the first atmosphere that is different than the second atmosphere of the second region. The portion of the barrier comprising fluid may have a pressure lower than the first atmosphere, the second atmosphere, or both.

Provided herein are methods for processing and/or detecting a sample. A method can comprise providing a barrier between a first region and a second region, wherein the first region comprises the sample, wherein the barrier maintains the first region at a first atmosphere that is different than a second atmosphere of the second region, wherein a portion of the barrier comprises a fluid in coherent motion; and using a detector at least partially contained in the first region to detect one or more signals from the sample while the first region is maintained at the first atmosphere that is different than the second atmosphere of the second region. The portion of the barrier comprising fluid may have a pressure lower than the first atmosphere, the second atmosphere, or both.

Provided is a biosensor including a capillary unit having a capillary channel therein and a reagent disposed in the capillary channel, the reagent being configured to develop colors in a sample, and a measuring unit configured to measure a degree of color development of the sample in the capillary channel.

Among the embodiments disclosed herein are example methods for generating all Clifford gates for a system of Majorana Tetron qubits (quasiparticle poisoning protected) given the ability to perform certain 4 Majorana zero mode measurements. Also disclosed herein are example designs for scalable quantum computing architectures that enable the methods for generating the Clifford gates, as well as other operations on the states of MZMs. These designs are configured in such a way as to allow the generation of all the Clifford gates with topological protection and non-Clifford gates (e.g. a /8-phase gate) without topological protection, thereby producing a computationally universal gate set. Several possible realizations of these architectures are disclosed.

Provided is a biosensor including a capillary unit having a capillary channel therein and a reagent disposed in the capillary channel, the reagent being configured to develop colors in a sample, and a measuring unit configured to measure a degree of color development of the sample in the capillary channel.

A water vapor concentration in a test gas in a measurement chamber in which a sample is disposed is adjusted, and a moisture amount of the sample in the measurement chamber is measured by a measurement unit. When the water vapor concentration in the test gas in the measurement chamber is changed, a shift B in change of the moisture amount of the sample measured by the measurement unit, from change of the water vapor concentration in the test gas, is calculated. The calculated shift B in the change of the moisture amount of the sample corresponds to an adsorption-desorption rate of the sample. Thus, it is possible to analyze not only the moisture amount of the sample but also the adsorption-desorption rate of the sample, so that characteristics of the sample can be widely analyzed.

A water vapor concentration in a test gas in a measurement chamber in which a sample is disposed is adjusted, and a moisture amount of the sample in the measurement chamber is measured by a measurement unit. When the water vapor concentration in the test gas in the measurement chamber is changed, a shift B in change of the moisture amount of the sample measured by the measurement unit, from change of the water vapor concentration in the test gas, is calculated. The calculated shift B in the change of the moisture amount of the sample corresponds to an adsorption-desorption rate of the sample. Thus, it is possible to analyze not only the moisture amount of the sample but also the adsorption-desorption rate of the sample, so that characteristics of the sample can be widely analyzed.

A method and device determines an optimization solution for an optimization problem. The method includes receiving the optimization problem having cost functions and variables in which each of the cost functions has a predetermined relationship with select ones of the variables. The method includes generating a first message for each of the cost functions for each corresponding variable based upon the respective predetermined relationship and a second message for each of the variables for each corresponding cost function based upon the respective predetermined relationship. The method includes generating a disagreement variable for each corresponding pair of variables and cost functions measuring a disagreement value between the first and second beliefs. The method includes repeating steps (b), (c), and (d) until a consensus is formed between the first and second messages until the optimization solution is determined based upon the consensus.