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N. Kannan

Publications and source records attributed to N. Kannan.

3 recordsLinked to original sources

Below-threshold error reduction in single photons through photon distillation

Photonic quantum computers use the bosonic statistics of photons to construct, through quantum interference, the large entangled states required for measurement-based quantum computation. Therefore, any which-way information present in the photons will degrade quantum interference and introduce errors. While quantum error correction can address such errors in principle, it is highly resource-intensive and operates with a low error threshold, requiring numerous high-quality optical components. We experimentally demonstrate scalable, optimal photon distillation as a substantially more resource-efficient strategy to reduce indistinguishability errors in a way that is compatible with fault-tolerant operation. Photon distillation is an intrinsically bosonic, coherent error-mitigation technique which exploits quantum interference to project single photons into purified internal states, thereby reducing indistinguishability errors at both a higher efficiency and higher threshold than quantum error correction. We observe unconditional error reduction (i.e., below-threshold behaviour) consistent with theoretical predictions, even when accounting for noise introduced by the distillation gate, thereby achieving actual net-gain error mitigation under conditions relevant for fault-tolerant quantum computing. We anticipate photon distillation will find uses in large-scale quantum computers. We also expect this work to inspire the search for additional intrinsically bosonic error-reduction strategies, even for fault-tolerant architectures.

quant-ph

Bio-Derived Graphite from Pterocarpus marsupium Leaves for rGO-MoO$_3$ Nanocomposites with Enhanced Photocatalytic Efficiency

This study presents a sustainable approach to synthesize bio-graphite from Pterocarpus marsupium (Indian Kino) leaves without using chemical catalysts, activating agents, or organic solvents. The resulting bio-graphite was used to produce reduced graphene oxide (rGO) via a modified Hummers method. The bio-graphite derived rGO was further incorporated with orthorhombic structured MoO$_3$ at different percentages (1, 3, and 6 wt.%) using ultrasonication. Structural, morphological, and functional characterizations were conducted using XRD, FESEM, FTIR, and UV-Vis DRS spectroscopy, revealing a bandgap of 2.82 eV for the rGO(3 wt.%)-MoO$_3$ composite. Photocatalytic activity was evaluated via methylene blue degradation under natural sunlight. The rGO(3 wt.%)-MoO$_3$ nanocomposite showed superior performance, achieving 90% degradation in 150 minutes when compared to 65% by pure MoO$_3$. The Scavenger tests confirmed superoxide radicals $(\cdot O_2^-)$ as the main reactive species. This work highlights the potential of bio-graphite derived rGO-MoO$_3$ nanocomposites as efficient, eco-friendly photocatalysts for wastewater treatment.

cond-mat.mtrl-sci

Dielectric-Modulated Impact-Ionization MOS (DIMOS) Transistor as a Label-free Biosensor

In this letter, we propose a dielectric-modulated Impact-Ionization MOS (DIMOS) transistor based sensor for application in label-free detection of biomolecules. Numerous reports exist on the experimental demonstration of nanogap-embedded FET-based biosensors, but an I-MOS based biosensor has not been reported previously. The concept of a dielectric-modulated I-MOS based biosensor is presented in this letter based on TCAD simulation study. The results indicate a high sensitivity to the presence of biomolecules even at small channel lengths. In addition, a low variability of the sensitivity to the charges on the biomolecule is observed. The high sensitivity, dominance of dielectric-modulation effects and operation at even small channel lengths makes the DIMOS biosensor a promising alternative for CMOS-based sensor applications.

cond-mat.mes-hall