Physicist for Emerging Computing Technologies
I am a research scientist with Raytheon BBN Technologies. My research focus is developing devices and architectures for next-generation computing outside of the von Neumann framework, specifically using superconducting electronics.
I’m a physicist by training with a background in magnetics and nanofabrication. My previous work has focused on exploring novel solid state magnetic memory elements for the eventual replacement of SRAM/DRAM in certain applications.
I enjoy numerical simulations, experiment control, and scientific visualizations. Most of my scientific programming takes place in Python and Julia using libraries like Qt for GUIs and OpenGL and CUDA for simulation acceleration and visualizations.
Email: graham dot rowlands at rtx dot com
Research
Novel spin-torque MRAM, cryogenic spin-orbit torque MRAM, superconducting reservoir computing, quantum computing with superconducting qubits.
Software
A variety of simulation packages (mostly for magnetics) and an experiment control suite specialized for superconducting quantum computers.
Visualization
Visualizations and 3D rendering using open source tools like Blender and KLayout. Gallery of some recent work, and possibly some tutorials in the near future.
