Arman Zaribafiyan
Deep-tech executive accelerating scientific discovery at the nexus of quantum and AI
Summary
Work
Education
Projects
Writing
Optimizing electronic structure simulations on a trapped-ion quantum computer using problem decomposition
February 14, 2021This work experimentally demonstrates an end-to-end pipeline that minimizes quantum resources while maintaining accuracy and shows the potential for problem decomposition to simulate large molecules on quantum hardware.
Scaling up electronic structure calculations on quantum computers: The frozen natural orbital based method of increments
February 18, 2020This paper proposes the MI-FNO framework to create scalable quantum chemistry problems suitable for assessing NISQ devices, significantly reducing qubit requirements compared to full system simulations.
Methods and systems for unified quantum computing frameworks
July 5, 2018A patent detailing methods and systems for hybrid computing integrating classical and non-classical computing resources, featuring an interface to receive and solve Quadratic Unconstrained Binary Optimization (QUBO) problems by transforming them into forms suitable for quantum algorithms.
Combinatorial Optimization on Gate Model Quantum Computers: A Survey
August 16, 2017This paper provides a survey of approaches to solving different types of combinatorial optimization problems, particularly Quadratic Unconstrained Binary Optimization (QUBO) problems on gate model quantum computers.
Fast Post Processing Algorithms For Fault Tolerant Quantum Computation using Surface Codes
January 1, 2014This PhD thesis presents a fast, concise, operationally inexpensive, and highly parallelizable decoding algorithm for surface codes without using concatenation, achieving a threshold range of 8.6% to 10.5% based on a parameter called OMSS.