Especially in noisy intermediate-scale quantum (NISQ) devices, fault-tolerant quantum computing cannot be realized without quantum error correction. High error rates in quantum systems stemming from decoherence and gate defects call for effective and flexible QEC systems. This paper presents a novel FPGA-based architecture using dynamic reconfiguration to maximize hardware resources in response to real-time error patterns. Supporting bit-flip, phase-flip, and depolarizing faults among several error correction techniques guarantees high accuracy and little hardware overhead. Scaled for surface code distances up to and beyond, the design combines modular pipelines, adaptive hardware allocation, and error pattern detection. Designed on a Xilinx XC7A50T-CPG236 FPGA, the system showed notable gains over static architecture, averaging 30% lower latency and 20% less resource use overall. Low latency and high throughput are maintained while this dynamic technique enables flexible adaptability to several quantum error models. The outcomes show how well this structure may improve quantum error-correcting systems and enable the incorporation of QEC into useful quantum computer configurations.

For sustainable energy solutions, the introduction of photovoltaic (PV) systems into the electrical grid becomes more critical. Still, maintaining power quality and reducing harmonic distortion demonstrate challenging tasks. LCL filters are extensively applied to increase power factor and boost grid stability by lowering high-frequency harmonic generation by PV inverters. The design and modeling of an optimal LCL filter for grid-connected PV systems are reported in this work. The work thoroughly investigates LCL filter architectures, parameter choice, and the effects of various layouts on system performance. MATLAB/Simulink is used to build a simulation model to assess the efficacy of the filter under many running environments. The findings show how well the intended LCL filter can greatly reduce harmonic distortions while preserving system stability. In addition, investigated to reduce resonance problems are additional control techniques including passive and active dampening techniques. The results of this work help to build affordable and effective filtering techniques for improved grid integration of PV systems.