Ethan Phillips Technology Analyst

Bio
Ethan Phillips is a Technology Analyst at IDTechEx, specializing in Semiconductors, Computing, and Artificial Intelligence. Previously, Ethan completed his master's degree in Physics at the University of Cambridge, where he was a key contributor to the EPSRC-SFI-funded 'GeQuantumBus' project. This collaborative initiative, involving Hitachi Cambridge Laboratory and several international research institutions, focused on advancing quantum computing via semiconductor-based qubit interactions. Ethan's contributions included testing advanced materials and quantum dots, which played a significant role in achieving a world record in mobility measurement. His experimental achievements earned him a nomination for the prestigious Nevil Mott Prize.
 
In addition to his academic accomplishments, Ethan brings valuable experience from his role as a strategic analyst in the automotive sector. He has also collaborated on various charitable initiatives, successfully raising hundreds of thousands of pounds.
Education
Ethan holds a master's degree in Physics from the University of Cambridge. His research during this time was centered on quantum computation, with a focus on optimizing long-range qubit interactions within semiconductor materials. His work on the 'GeQuantumBus' project contributed to a deeper understanding of the materials and quantum mechanics involved. Beyond his research project, Ethan also studied a wide range of theoretical physics and business modules.
 
Ethan obtained a First Class Honours in his bachelor's degree in Physics from Swansea University, where he developed a strong foundation in experimental physics, particularly in semiconductor technology. Further, Ethan excelled across his studies, achieving top examination scores of 100% in Quantum Mechanics, Statistical Mechanics, Particle Physics, Electromagnetism and Special Relativity.
Research Field
At IDTechEx, Ethan's research spans the Semiconductors, Computing, and AI sectors, with a current focus on the memory & storage hardware landscape surrounding AI and high-performance computing (HPC).
 

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