James Basham Email and Phone Number

Developing the control backend for the world's largest publicly available neutral atom quantum computer.

Continuing work on the hardware developed while at Northrop, and adding capabilities for quantum machine learning.

Test and Measurement Lead for IARPA’s Quantum Enhanced Optimization (QEO) program.Led a small team stationed at MIT Lincoln Laboratory which conceived and developed the measurement and control infrastructure for a high-coherence 25-qubit quantum annealer based on superconducting flux qubits for applications in optimization and quantum machine learning. Demonstrated: calibration; readout with 99.99% fidelity; conversion of abstract physical parameters to low-level hardware control; design, execution and analysis of novel physical experiments; benchmarking.Maintainer of a software repository for running a flux qubit-based quantum processor which:• Uses computer vision to look at calibration data and update hardware settings to reduce the amount of human oversight.• Abstracts various layers of control for a simplified user interface.• Agile. Scalable. Has extensive documentation and unit testing.• Written in Python and uses common software packages including numpy, pandas, opencv, scipy, scikit-learn.

Providing data analysis, visualization and interpretation. • Published high impact paper demonstrating the flaw in the way mobility is reported in organic semiconductors, and established a new measurement technique without this limitation.• Characterized new insights into carrier transport in semiconductor/insulator polymer blends

• Collaborated with outside partners in synthetic chemistry, including Imperial College, to characterize novel semiconducting polymers for organic photovoltaics and derive structure-function relationships. • Aided industrial partners in characterizing and explaining degradation in solution-processed hole injection layers for commercial OLEDs.• Home built a testing apparatus to measure illumination intensity dependent impedance spectroscopy of organic photovoltaics. • Developed a compact model to extract the density of states, carrier lifetime, ideality, order of recombination, and mobility in working polymer, CdTe, and CIGS solar cells.• Correlated device processing conditions and chemical structure to said metrics in order to understand the origin of efficiency gains in terms of electronic properties. • Grew Rubrene single crystals in a temperature gradient furnace for high-mobility Organic field-effect transistors (OFETs). Characterized with small signal model to extract zero field mobility. • Regularly employ and maintain equipment for a host of advanced PV characterization techniques, including external quantum efficiency, transient photocurrent/photovoltage (open circuit voltage decay), charge extraction (Photo-CELIV), intensity modulated photocurrent/photovoltage, transient absorption spectroscopy and internal photoemission.

Researched Forster Resonance Energy Transfer in Solid State Dye-Sensitized Solar Cells in the Craig A Grimes research group. Work includes classes in traditional clean room fabrications and devices physics, as well as design, fabrication and testing of organic solar cells using lifetime measurements; open circuit voltage decay and Intensity modulated photocurrent and photovoltage spectroscopy, incident photoconversion efficiency, quantum yield, UV-Vis absorption, FE-SEM imaging and impedance analysis.

Teaching assistant for EE211: Intro to Electrical Circuits and Power Distribution

Majored in Applied Physics with research projects in: Time Evolution of CdSe Quantum Dots in Vitreous Media (unpublished),Nucleation and Stochastic Growth (published: Theoretical Population Biology (70) 2006, 464-478) and Synthesis and 2-D Self Assembly of Gold Nanoparticles (published: Lagmuir 2010, 26(10), 7410-7417)