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Direct Catalytic Conversion of Carbon Dioxide to Liquid Fuel at Ambient Temperature: A Novel Metal-Organic Framework Approach Eka Cahya Muliawati
Science Journal Get Press Vol 1 No 1 (2024): January, 2024
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/science.v1i1.450

Abstract

The increasing concentration of atmospheric CO₂ has prompted the development of efficient strategies for carbon capture and utilization. In this study, a novel bimetallic Cu-Zn/ZT metal-organic framework (MOF) was synthesized and evaluated for direct hydrogenation of CO₂ to methanol and ethanol at ambient temperature (30°C) and 1 atm. The Cu-Zn/ZT catalyst exhibited superior activity compared to monometallic analogs, achieving a CO₂ conversion of 12.5% with 78% selectivity toward methanol and 15% toward ethanol. Characterization revealed a highly crystalline framework, uniform mesoporosity (~1.2 nm), and synergistic Cu⁺/Zn²⁺ active sites that facilitate H₂ activation and CO₂ adsorption. The catalyst demonstrated good stability and reusability over five cycles, retaining high selectivity. These findings highlight the potential of rationally designed bimetallic MOFs for energy-efficient CO₂-to-liquid-fuel conversion under mild conditions, offering a promising route for sustainable carbon utilization
Achieving Quantum Supremacy with Stabilized Qubits: Performance Comparison Against Classical Supercomputing Systems Eka Cahya Muliawati
Science Journal Get Press Vol 1 No 1 (2024): January, 2024
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to analyze recent developments in quantum supremacy by comparing the computational performance of stabilized superconducting qubit systems with classical supercomputing capabilities. A systematic literature review was conducted on major experimental studies published between 2019 and 2024, focusing on random circuit sampling, qubit stability, gate fidelity, and computational runtime comparisons. The analysis covers key quantum processors, including Sycamore and Zuchongzhi, by evaluating three main parameters: number of qubits, circuit complexity, and performance gap relative to classical simulation.The results show that quantum processors with 50–100 qubits and high gate fidelity are able to complete specific sampling tasks within seconds to hours, whereas equivalent classical simulations would require thousands to billions of years. The findings also indicate that computational advantage increases exponentially with system scale and is strongly influenced by qubit stability and error suppression techniques. Although the demonstrated tasks remain specialized and not yet applicable to practical problems, the evidence confirms that stabilized qubit systems have achieved a measurable computational regime beyond classical feasibility.This review provides a clear synthesis of current experimental achievements and highlights that future progress toward practical quantum advantage depends on improvements in error correction, scalability, and hardware reliability.