SearcharxivSearch

arXiv subjects

Muralikrishna Molli

Publications and source records attributed to Muralikrishna Molli.

2 recordsLinked to original sources

Geometric Analysis of the Damped Harmonic Oscillator via the Lambert W Function

The underdamped harmonic oscillator is analyzed through the complex mapping $\zeta = e^{-i\varphi}we^{-w}$ with $w = \beta t + i\Omega t$, which transforms the dynamics into a logarithmic spiral. Within this framework, the displacement extrema correspond to crossings of the imaginary axis by $\zeta(t)$, yielding the explicit times $t_n = (\theta - \varphi - \pi/2 + n\pi)/\Omega$, where $\theta = \arctan(\Omega/\beta)$. The Lambert $W$ function provides closed-form solutions $t = -\beta^{-1}W_k(-\beta A/\omega_0)$ for the times at which the spiral radius attains a given threshold $A$, covering both the rising and decaying branches. The quality factor $Q = \omega_0/(2\beta) = \tfrac{1}{2}\sec\theta$ is directly encoded in the ray angle $\theta$ of the $(u,v)$-plane. Key geometric invariants are derived: the winding number $N_\varepsilon \approx (Q/\pi)\ln(2Q/\varepsilon)$ for large $Q$, the enclosed area $A = \omega_0^2\Omega/(8\beta^3) \approx Q^3$ in the lightly damped limit, and the energy decay $E(t) = E_0 e^{-\omega_0 t/Q}$. Three methods for determining $Q$ from experimental data are compared: logarithmic decrement, ray-angle measurement, and spiral turn counting. The turn-counting method proves particularly robust for high-$Q$ systems, where successive amplitude peaks differ by tiny fractions. The framework unifies classical damped oscillations with complex analysis and special functions.

math-ph

Optimizing Superconducting Qubit Performance: A Theoretical Framework for Design, Analysis, and Calibration

Designing a qubit architecture is one of the most critical challenges in achieving scalable and fault-tolerant quantum computing as the performance of a quantum computer is heavily dependent on the coherence times, connectivity and low noise environments. Superconducting qubits have emerged as a frontrunner among many competing technologies, primarily because of their speed of operations, relatively well-developed and offer a promising path toward scalability. Here, we address the challenges of optimizing superconducting qubit hardware through the development of a comprehensive theoretical framework that spans the entire process - from design to the calibration of hardware through quantum gate execution. We develop this framework in four key steps: circuit design, electromagnetic analysis, spectral analysis, and pulse sequencing with calibration. We first refine the qubit's core components - such as capacitance, Josephson junctions, and resonators - to set the foundation for strong performance. The electromagnetic analysis, using the Lumped Oscillator model, allows us to map out the capacitance matrix, ensuring that we minimize spectral dispersion while maximizing coherence times. Following this, we conduct spectral analysis to fine-tune the qubit's frequency spectrum and coherence properties, ensuring that the qubit parameters are optimized. Finally, we focus on pulse sequencing, including pulse-width optimization, DRAG optimization, and randomized benchmarking, to achieve high gate fidelity. We applied this framework to both Transmon and Fluxonium qubits, obtaining results that closely match those found in experimental studies. This work provides a detailed and practical approach to the design, optimization, and calibration of superconducting qubits, contributing to the broader effort to develop scalable quantum computing technologies.

quant-ph