Anand Krishna P V
Founder & CEO of Quortup. Quantum computing researcher, two-time published patent inventor, and India Book of Records achiever dedicated to building accessible browser quantum tools.
“Quantum computing shouldn't be confined to elite corporate superlabs or broken Jupyter notebooks. We created Quortup to give every curious student, engineer, and researcher in India and across the world intuitive visual tools, real Qiskit execution, and verified credentials to build the future of quantum technology.”
Anand Krishna P V
Published Patents
A Low Resource Two Qubit Quantum Structural Interaction Layer and Hybrid System for Deterministic Sentence Comparison with Enhanced Interpretability and Technical Efficiency
Architected a low resource two qubit Quantum Natural Language Processing (QNLP) framework for deterministic sentence comparison. The system focuses on computational efficiency, reduced qubit resource requirements, and enhanced interpretability through a novel Quantum Structural Interaction Layer (Q SIL).
Hybrid Graph Based Structural Features with Histogram of Oriented Gradients (HOG) for Interpretable Classification of Colon Histopathology Images
A patented diagnostic methodology addressing accurate classification of colon histopathology images for colorectal cancer detection. Integrates Histogram of Oriented Gradients (HOG) texture descriptors with graph theoretic cellular network modeling for interpretable pathology evaluation.
Peer Reviewed Scientific Publications
Quantum Hamiltonian Simulation of Cellular Networks for Hybrid Topological Biomarker Extraction in Colon Histopathology
Global Advances in Multidisciplinary Applications in Next-Gen and Modern Technologies
Introduces a quantum algorithmic framework for extracting topological biomarkers from colon histopathology images using quantum Hamiltonian simulation. The study models k Nearest Neighbor (k NN) cellular spatial networks to capture complex tissue architecture and cellular arrangements.
Improving Colon Histopathology Classification Using Graph-Based Structural Features and HOG Descriptors
World Journal of Current Medical and Pharmaceutical Research
Investigates interpretable colon histopathology classification using a hybrid feature fusion framework combining Histogram of Oriented Gradients (HOG) texture descriptors with graph theoretic cellular network features.
A Study on Graph-Theoretic-Based Classification to Explore Geometric Consistency in Tissue Architecture of Colon Histopathology
Letters in Biomathematics
A mathematical study investigating spatial organization and geometric consistency in colon histopathology using graph theory which models complex tissue imagery as networks of interacting cellular nodes.
Honors & Faculty Guidance
IBR Achiever
Aug 2026Recognised as an IBR Achiever by India Book of Records for research in quantum computing, specifically for patented innovation in low resource two qubit quantum systems for deterministic sentence comparison.
Academic & Research Guidance
Faculty MentoredProduct guided by P. Venkata Krishna sir and Y. Bhavani Kumar sir.
The Story Behind Quortup
As an active quantum computing researcher and patent inventor, Anand Krishna identified a fundamental bottleneck facing aspiring quantum developers: the software ecosystem was fragmented across complex terminal configurations, conflicting Python dependencies, and unintuitive abstract mathematics.
Quortup was created to solve this challenge. By combining visual drag and drop circuit authoring, real time complex statevector evolution, 3D multi qubit Bloch sphere tracking, and AI assisted quantum algorithm generation, Quortup allows students and research teams to learn, experiment, and simulate quantum circuits instantly inside any modern web browser.
Quortup remains committed to 100% free public access for fundamental quantum learning and academic education worldwide.