乐播传媒

Contact

• workPhysics
  University Park
  乐播传媒
  NG7 2RD
  UK
• Adam.Gammon-Smith@nottingham.ac.uk

Biography

I am a condensed matter theorist interested primarily in non-equilibrium quantum dynamics, particularly quantum quenches of lattice models. I am also interested in topologically ordered systems, quantum computation and machine learning. My current research focus is on using quantum computers and tools from machine learning to study many-body quantum physics.

I was award an ERC Starting Grant in 2023.

In 2020 I was awarded a research fellowship from the Royal Commission for the Exhibition of 1851. Previously I was at the Technische Universit盲t M眉nchen in the group of Frank Pollmann. Before this I was a research associate at Imperial College London with Prof. Myungshik Kim and Dr. Johannes Knolle. This position was part of a collobaration between Imperial College and Samsung to simulate quantum systems with the IBM quantum computers. I completed my PhD entitled "Disorder-free Localization" at the University of Cambridge with Dr. Dmitry Kovrizhin. Before that I studied for a Masters in Physics at Cambridge, and did my undergraduate studies at the University of Leeds.

Teaching Summary

I am currently teaching the following modules at the 乐播传媒:

• PHYS4041 - Introduction to Practical Quantum Computing
• PHYS4038 - Scientific Programming in Python (led by Mike Smith)

Previous courses:

• Advanced methods in quantum many-body theory (topic: topological quantum field theory) - TU Munich 2020

I have taught at the following graduate schools:

• ETN Tensor Network School 2023 - Abingdon (topic: Tensor networks to quantum circuits and back again)
• Topological Matter School 2022 - San Sebasti谩n (topic: Non-abelian anyons: the basics of topological quantum field theory)
• School on Topological Phases in Condensed Matter and Ultracold Atoms Systems (IESC) 2022 - Carg猫se (topic: Non-abelian anyons: the basics of topological quantum field theory)
• IMPRS-MPSSE Summer School 2021 - MPI-PKS Dresden (topic: Quantum computing on NISQ devices)

Research Summary

I am primarily interested in non-equilibrium dynamics of quantum many-body systems. My recent focus is on using quantum computers and tools from machine learning to study condensed matter physics.

You can find more details on my

Recent Publications

• PAPAEFSTATHIOU, IRENE, SMITH, ADAM and KNOLLE, JOHANNES, 2020. PHYSICAL REVIEW B. 102(16),
• OMRI GOLAN, ADAM SMITH and ZOHAR RINGEL, 2020. Physical Review Research. 2, 043032
• ADAM SMITH, OMRI GOLAN and ZOHAR RINGEL, 2020. Physical Review Research. 2, 033515
• SMITH, ADAM, ICNOLLE, JOHANNES, MOESSNER, RODERICH and KOVRIZHIN, DMITRY L., 2019. PHYSICAL REVIEW LETTERS. 123(8),

• View all publications

• PAPAEFSTATHIOU, IRENE, SMITH, ADAM and KNOLLE, JOHANNES, 2020. PHYSICAL REVIEW B. 102(16),
• OMRI GOLAN, ADAM SMITH and ZOHAR RINGEL, 2020. Physical Review Research. 2, 043032
• ADAM SMITH, OMRI GOLAN and ZOHAR RINGEL, 2020. Physical Review Research. 2, 033515
• SMITH, ADAM, ICNOLLE, JOHANNES, MOESSNER, RODERICH and KOVRIZHIN, DMITRY L., 2019. PHYSICAL REVIEW LETTERS. 123(8),
• SMITH, ADAM, KIM, M. S., POLLMANN, FRANK and KNOLLE, JOHANNES, 2019. NPJ QUANTUM INFORMATION. 5,
• SMITH, ADAM, KNOLLE, JOHANNES, MOESSNER, RODERICH and KOVRIZHIN, DMITRY L., 2018. PHYSICAL REVIEW B. 97(24),
• SMITH, ADAM, KOVRIZHIN, DMITRY L., MOESSNER, RODERICH and KNOLLE, JOHANNES, 2018. QUANTUM SCIENCE AND TECHNOLOGY. 3(4),
• SMITH, A., KNOLLE, J., KOVRIZHIN, D. L. and MOESSNER, R., 2017. PHYSICAL REVIEW LETTERS. 118(26),
• SMITH, A., KNOLLE, J., MOESSNER, R. and KOVRIZHIN, D. L., 2017. PHYSICAL REVIEW LETTERS. 119(17),
• SMITH, A., KNOLLE, J., KOVRIZHIN, D. L., CHALKER, J. T. and MOESSNER, R., 2016. PHYSICAL REVIEW B. 93(23),
• ADAM SMITH, JOHANNES KNOLLE, DMITRY L. KOVRIZHIN, JOHN T. CHALKER and RODERICH MOESSNER, 2015. Physical Review B. 92, 180408(R)