arXiv subjects

Reena Monica P

Publications and source records attributed to Reena Monica P.

4 recordsLinked to original sources

arXiv2024

SOLSAT: An FPGA Based satellite for effective Solar-activity monitoring

Kp-Index is a very important factor for determining how the Sun's magnetic field is affecting the Earth's magnetic field and help us prepare for the worst (like solar or geomagnetic storms). Currently there are around thirteen observation centers to determine the worldwide Kp index. Huge data is generated from all the observation centers which is then used to determine several factors, but the observatories are concentrated in places like North America and Europe only. To eliminate the data dependency from a very limited geographical periphery we can use a constellation of satellites in LEO which can log in data continuously and provide a real time and accurate Kp index which can help humanity for tackling with the impending issues from our nearest star in a better way. The constellation of the satellites will be deployed in the Low Earth Orbit(LEO) and continuously log the geomagnetic data and provide a constant stream of data, which will be more diverse given the area coverage made by one satellite. This is essentially a boon as more the data we can have better geomagnetic data and the Kp index will be all encompassing which can help in better mapping of any solar-catastrophe.

physics.space-ph↗

arXiv2023

Quantum Circuit Optimization of Arithmetic circuits using ZX Calculus

Quantum computing is an emerging technology in which quantum mechanical properties are suitably utilized to perform certain compute-intensive operations faster than classical computers. Quantum algorithms are designed as a combination of quantum circuits that each require a large number of quantum gates, which is a challenge considering the limited number of qubit resources available in quantum computing systems. Our work proposes a technique to optimize quantum arithmetic algorithms by reducing the hardware resources and the number of qubits based on ZX calculus. We have utilised ZX calculus rewrite rules for the optimization of fault-tolerant quantum multiplier circuits where we are able to achieve a significant reduction in the number of ancilla bits and T-gates as compared to the originally required numbers to achieve fault-tolerance. Our work is the first step in the series of arithmetic circuit optimization using graphical rewrite tools and it paves the way for advancing the optimization of various complex quantum circuits and establishing the potential for new applications of the same.

cs.ET↗

arXiv2023

ASIC Implementation of Denoising Filters for Pacemakers

Cardiac Pacemakers are used to regulate the hearts rhythm and prevent abnormal heart beats. Patients undergo a minimal surgery to get the pacemaker implanted in the body, whereas these devices do have their limitations such as battery life, power consumption and integrated circuit area which makes it difficult for elderly and children to undergo this surgery. This paper focuses on developing an optimised low pass filter ASIC design for implantable QRS complex detector for cardiac pacemaker circuits using filter optimisation techniques such as Pipelining and Folding of filters. The folded low pass filter design consumes an overall power of 0.7575 mW and comprises a total of 1361 standard cells. The number of adder block units in our work reduces area consumption by a factor of 48.37%.

eess.SP↗

arXiv2023

A Quantum Computing-driven Aid for New Material Design

Material discovery is a phenomenon practiced since the evolution of the world. The Discovery of materials had led to significant development in varied fields such as Science, Engineering and Technology etc., It had been a slow and long-drawn process, however, technological advancement had led to the rapid discovery of materials and the creation of a database that documented the earlier research and development. Many intervening technologies at varying levels of efficiency were developed to advance the discovery of materials in the past and create a database. Quantum computing is a recent development that further advances precision and accuracy. In this study, the ground state energy of molecules such as GeO2, SiO2, SiGe, ZrO2 and LiH were found using the quantum algorithm Variational Quantum Eigensolver (VQE). Also, a database consisting of the elements and molecules with the data of their Hamiltonian and Ground State energy was developed.

quant-ph↗