With an aim to build analog computers out of soft matter fluidic systems infuture, this work attempts to invent a new information-theoretic language, inthe form of two-dimensional Quick Response (QR) codes. This language is,effectively, a digital representation of the analog signals shown by theproteinoids. We use two different experimental techniques: (i) avoltage-sensitive dye and (ii) a pair of differential electrodes, to record theanalog signals. The analog signals are digitally approximatied (synthesised) bysampling the analog signals into a series of discrete values, which are thenconverted into binary representations. We have shown theAND-OR-NOT-XOR-NOR-NAND-XNOR gate representation of the digitally sampledsignal of proteinoids. Additional encoding schemes are applied to convert thebinary code identified above to a two-dimensional QR code. As a result, the QRcode becomes a digital, unique marker of a given proteinoid network. We showthat it is possible to retrieve the analog signal from the QR code by scanningthe QR code using a mobile phone. Our work shows that soft matter fluidicsystems, such as proteinoids, can have a fundamental informatiom-theoreticlanguage, unique to their internal information transmission properties(electrical activity in this case) - such a language can be made universal andaccessible to everyone using 2D QR codes, which can digitally encode theirinternal properties and give an option to recover the original signal whenrequired. On a more fundamental note, this study identifies the techniques ofapproximating continuum properties of soft matter fluidic systems using aseries representation of gates and QR codes, which are a piece-wise digitalrepresentation, and thus one step closer to programming the fluids usinginformation-theoretic methods, as suggested almost a decade ago by Tao's fluidprogram.
Information-theoretic language of proteinoid gels: Boolean gates and QR codes
Giuseppe Tarabella;
2024
Abstract
With an aim to build analog computers out of soft matter fluidic systems infuture, this work attempts to invent a new information-theoretic language, inthe form of two-dimensional Quick Response (QR) codes. This language is,effectively, a digital representation of the analog signals shown by theproteinoids. We use two different experimental techniques: (i) avoltage-sensitive dye and (ii) a pair of differential electrodes, to record theanalog signals. The analog signals are digitally approximatied (synthesised) bysampling the analog signals into a series of discrete values, which are thenconverted into binary representations. We have shown theAND-OR-NOT-XOR-NOR-NAND-XNOR gate representation of the digitally sampledsignal of proteinoids. Additional encoding schemes are applied to convert thebinary code identified above to a two-dimensional QR code. As a result, the QRcode becomes a digital, unique marker of a given proteinoid network. We showthat it is possible to retrieve the analog signal from the QR code by scanningthe QR code using a mobile phone. Our work shows that soft matter fluidicsystems, such as proteinoids, can have a fundamental informatiom-theoreticlanguage, unique to their internal information transmission properties(electrical activity in this case) - such a language can be made universal andaccessible to everyone using 2D QR codes, which can digitally encode theirinternal properties and give an option to recover the original signal whenrequired. On a more fundamental note, this study identifies the techniques ofapproximating continuum properties of soft matter fluidic systems using aseries representation of gates and QR codes, which are a piece-wise digitalrepresentation, and thus one step closer to programming the fluids usinginformation-theoretic methods, as suggested almost a decade ago by Tao's fluidprogram.File | Dimensione | Formato | |
---|---|---|---|
2405.19337v1.pdf
accesso aperto
Descrizione: Information-theoretic language of proteinoid gels: Boolean gates and QR codes
Tipologia:
Versione Editoriale (PDF)
Licenza:
Creative commons
Dimensione
572.16 kB
Formato
Adobe PDF
|
572.16 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.