About
I'm Priyabrata Senapati, a PhD candidate in Computer Science at Kent State University and a doctoral researcher in the Advanced Computing, Mathematics, and Data division at Pacific Northwest National Laboratory. My work sits at the intersection of quantum algorithm design, uncertainty quantification, and noise-aware characterization of quantum systems — connecting theory, simulation, and hardware-facing evaluation so quantum workloads can be analyzed with stronger statistical confidence.
I design QSVT-based algorithms for Hamiltonian simulation, Green's-function molecular spectroscopy, and open quantum system dynamics, and develop benchmarking frameworks for NISQ computing using MCMC-based Bayesian posterior estimation and sensitivity analysis, informed by an understanding of Markovian QCVV protocols (Quantum Characterization, Verification, and Validation).
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Research
QSP/QSVT, Green's-function methods, VQAs, resource estimation, uncertainty quantification, benchmarking, and research experience.
Publications
Peer-reviewed work across quantum computing, reproducibility, visualization, and computational biology.
Profile
Education, technical skills, professional service, open-source work, and collaborations in one CV-style view.
Resources
Curated lectures, course pages, references, and tools for quantum computing, open quantum systems, optimization, and mathematical foundations.
Contact
Email and professional links for research collaborations, recruiting, and academic inquiries.
Featured Strengths
Algorithmic Depth
Resource-aware quantum algorithms for Green's-function QSVT, Hamiltonian simulation, spectroscopy, VQAs, and open quantum dynamics.
Cost-Aware Validation
Resource estimation, transpilation reuse, and statistical analysis to identify computational bottlenecks in noisy quantum workloads.
Hardware Relevance
Benchmarking and characterization methods designed around real backend behavior, circuit structure, and noise.