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Quantum simulation of dissipation for Maxwell equations in dispersive media
No full textThe dissipative character of an electromagnetic medium breaks the unitary evolution structure that is present in lossless, dispersive optical media. In dispersive media, dissipation appears in the Schrodinger representation of Maxwell equations as a sparse diagonal operator occupying an r-dimensional subspace. A first order Suzuki-Trotter approximation for the evolution operator enables us to isolate the non-unitary operators (associated with dissipation) from the unitary operators (associated with lossless media). The unitary operators can be implemented through qubit lattice algorithm (QLA) on n qubits, based on the discretization and the dimensionality of the pertinent fields. However, the non-unitary-dissipative part poses a challenge both physically and computationally on how it should be implemented on a quantum computer. In this paper, two dilation algorithms are considered for handling the dissipative operators. The first algorithm is based on treating the classical dissipation as a linear amplitude damping-type completely positive trace preserving (CPTP) quantum channel where an unspecified environment interacts with the system of interest and produces the non-unitary evolution. Therefore, the combined system-environment is now closed, and must undergo unitary evolution in the dilated space. The unspecified environment can be modeled by just one ancillary qubit, resulting in an implementation scaling of O(2n−1n2) elementary gates for the total system-environment unitary evolution operator. The second algorithm approximates the non-unitary operators by the Linear Combination of Unitaries (LCU). On exploiting the diagonal structure of the dissipation, we obtain an optimized representation of the non-unitary part, which requires O(2n) elementary gates. A connection of our results with the non-linear-in-normalization-only (NINO) quantum channels is also presented
Peskas - National Fisheries Monitoring System of Timor-Leste
No full textData collected from small-scale fishing activities in Timor-Leste containing detailed information on fishing trips (temporal coverage, fishing effort, catch value) and catches (taxa type, number of individuals, species length and weight). Read README file for detailed info about specific data content and period covered
Survei sosial ekonomi nasional (SUSENAS)
No full textThe National Socioeconomic Survey (SUSENAS) is a series of large-scale multi-purpose socioeconomic surveys initiated in 1963-1964 and fielded every year or two since then. Since 1993, SUSENAS surveys cover a nationally representative sample typically composed of 200,000 households. Each survey contains a core questionnaire which consists of a household roster listing the sex, age, marital status, and educational attainment of all household members, supplemented by modules covering about 60,000 households that are rotated over time to collection additional information such as health care and nutrition, household income and expenditure, and labor force experience. DATASETS AVAILABLE FOR YEARS: 2015-2022</p
One and Two Dimensional Quantum Lattice Algorithms for Maxwell Equations in Inhomogeneous Scalar Dielectric Media. II: Simulations
No full textLong-time quantum lattice algorithm (QLA) simulations are performed for the multiple reflection-transmission of an initial electromagnetic pulse propagating normally to a boundary layer region joining two media of different refractive index. For these one-dimensional (1D) simulations, there is excellent agreement between x-, y- and z-representations, as well as very good agreement with nearly all the standard plane wave boundary condition results for reflection and transmission off a dielectric discontinuity. In the QLA simulation, no boundary conditions are imposed at the continuous, but sharply increasing, dielectric boundary layers. Two-dimensional (2D) QLA scattering simulations in the x–z plane are performed for an electromagnetic pulse interacting with a conical dielectric obstacle for the 8–16 qubit model
Replication Data for: Selecting Out of “Politics”: The Self-Fulfilling Role of Conflict Expectation
No full textReplication files, additional supplemental information, and human subjects information
PDB: 1ZTX, West Nile Virus Envelope Protein DIII in complex with neutralizing E16 antibody Fab (313K, 40°C, 100 ns)
No full textPDB: 1ZTX, West Nile Virus Envelope Protein DIII in complex with neutralizing E16 antibody Fab (313K, 40°C, 100 ns): random seed #1. PDBs obtained at every 50 ns
The Spread of AI-Generated Misinformation
No full textIn today's digital world, information flows freely and endlessly across borders and platforms. While this connectivity has empowered the spread of ideas, it has also enabled the propagation of misleading claims that can erode truth and trust. A new threat has emerged from the rising tide of artificial intelligence, as generative models allow the industrial-scale production of synthetic yet sophisticated content. Like a flood, AI-generated misinformation and disinformation threaten to drown the foundations of an informed society under a deluge of falsity. We must acknowledge that this flood was not unforeseen, but the inevitable result of careless development and deployment without adequate responsibility or wisdom. The creators of these powerful tools failed to consider their darker applications and the need to establish guardrails against abuse. Now the waters rage largely unchecked, with platforms struggling to stem the current and individuals left floundering in murky confusion. While regulation and moderation have roles, the solution lies deeper - in taking ownership of our technological progress and prioritizing integrity over expediency. The tide will not recede through reaction alone but requires a turn toward proactive responsibility. Developers must recognize their ethical duty to envision misuse and implement safeguards that do not compromise functionality but uphold reliability. Platforms must find transparency and educate users to bolster critical thinking against manipulation. Individuals too have a part, in media literacy and willingness to reconsider preconceptions in the face of contradictory evidence. We must shore up our foundations with truth and wisdom before the coming storm. This thesis aims to survey the rising floodwaters and assess our defenses. It will define the concepts of misinformation and disinformation, differentiating falsehood by intent. It will examine how generative AI enables the mass production of synthetic content, from deepfakes to persuasive text, and the realistic yet misleading material this facilitates. Detection methods will be explored, considering techniques from fact-checking to provenance analysis. Platform policies and individual responsibilities will also be evaluated. Through rigorous analysis this work seeks to bring clarity and responsibility to the issue. It aims to neither deny technological progress nor dismiss risk, but navigate a balanced path between the two. Ultimately it calls us to rise above reaction and embrace foresight, prioritizing integrity over convenience in both creation and consumption of information. The tide of falsity grows swiftly, but with wisdom and courage, we can establish bulwarks of truth to withstand the coming flood. By understanding the challenges and cooperating constructively, our society can emerge from this trial with foundations reinforced rather than eroded. The time to prepare is now, before the deluge
Replication Data for: Education reform and change driven by digital technology: A bibliometric study from a global perspective
No full textData analyzed in the article of Humanities and Social Science Communications, "Education reform and change driven by digital technology: A bibliometric study from a global perspective". (Manuscript Number: HSSCOMMS-15216