Control-Plane Openness in Near-Term Quantum Computing: A Survey of Vendor Stacks and Field Implications
Rylan Malarchick
Quantum computing researcher.
I research quantum systems software. Primarily compilers, pulse control, and HPC simulation frameworks. Planning a PhD in quantum computing systems.
Featured
Cache Hierarchy and Vectorization Analysis of Lindblad Master Equation Simulation for Near-Term Quantum Control
Open-source quantum control kernel. GRAPE optimizer, Lindblad and SME solvers, closed-loop Lyapunov feedback controller. v0.7.0 released.
Experience
Quantum Computing Summer School (Incoming Summer 2026)
Mentors: Harsha Nagarajan and Abhijith Jayakumar. Robust optimization and quantum circuit design.
QubitOS, Quantum Control Kernel
Open-source quantum control kernel. Python core, Rust HAL, gRPC API. GRAPE pulse optimizer, Lindblad and stochastic master equation solvers, closed-loop Lyapunov feedback controller. v0.7.0 released.
AIRHOUND, Autonomous UAV Perception System (PI and Perception Lead)
Autonomous UAV perception platform for target detection and pursuit. Presented at SPIE Defense + Commercial Sensing 2026 (paper 14030-26). Methods paper under review at ERAU Beyond: Undergraduate Research Journal (MS #1176).
NASA Goddard Space Flight Center Intern (OSTEM)
ML framework for cloud base height retrieval. Two papers (CBH Retrieval; Domain Shift Analysis) pending NTRS release. Under Dr. Dong Wu.
Education
Embry-Riddle Aeronautical University
Accelerated BS/MS in Engineering Physics, spacecraft instrumentation track. BS expected May 2027, MS expected May 2028. Minor in Computational Mathematics. NCAA DII Cross Country and Track.