Spin Wave Engineering & Machine Learning Program

The Spinwave Engineering & Machine Learning Program, led by Professor Ben Buchler based at The Australian National University, seeks to harness the rich physics of light-atom interactions for quantum information processing. When interacting strongly with ensembles of atoms, photons can be transferred into a ‘spinwave polariton’, which is a superposition of atomic coherence and optical excitation. This allows a range of possible manipulations of optical quantum information ranging from passive storage of qubits in an atomic quantum memory through to strong interactions between spinwave polaritons and stationary light that could enable deterministic optical quantum gates. Inspired by the successful optimisation of a magneto-optic trap, our program now also encompasses machine learning goals aimed at optimising quantum technologies..

People

Prof. Ben C. Buchler Executive Team, Work Package Leader, Program Manager Australian National University
Dr. Daniel Higginbottom Visiting Research Fellow Australian National University
Ida Kunnel Shine PhD Student Australian National University
Anthony Leung PhD Student Australian National University
Karun Paul PhD Student Australian National University
Arindam Saha PhD Student Australian National University
Dr. Aaron Tranter Research Fellow Australian National University

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Featured publications

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Observation of cross phase modulation in cold atom gradient echo memory AC Leung, KSI Melody, AD Tranter, KV Paul, GT Campbell, PK Lam, B Buchler New Journal of Physics, 24, 093011 (2022)

Intelligent metaphotonics empowered by machine learning S Krasikov, A Tranter, A Bogdanov, Y Kivshar Opto-Electronic Advances, 5, 210147 (2022)

Non-Gaussian Mechanical Motion via Single and Multiphonon Subtraction from a Thermal State G Enzian, L Freisem, JJ Price, AO Svela, J Clarke, B Shajilal, J Janousek, BC Buchler, PK Lam, MR Vanner Physical Review Letters, 127, 243601 (2021)

Search for topological defect dark matter with a global network of optical magnetometers S Afach, BC Buchler, D Budker, C Dailey, A Derevianko, V Dumont, NL Figueroa, I Gerhardt, ZD Grujić, H Guo, C Hao, PS Hamilton, M Hedges, DF Jackson Kimball, D Kim, S Khamis, T Kornack, V Lebedev, ZT Lu, H Masia-Roig, M Monroy, M Padniuk, CA Palm, SY Park, KV Paul, A Penaflor, X Peng, M Pospelov, R Preston, S Pustelny, T Scholtes, PC Segura, YK Semertzidis, D Sheng, YC Shin, JA Smiga, JE Stalnaker, I Sulai, D Tandon, T Wang, A Weis, A Wickenbrock, T Wilson, T Wu, D Wurm, W Xiao, Y Yang, D Yu, J Zhang Nature Physics, 17, 1396 (2021)

Echo-Based Quantum Memory G. T. Campbell,K. R. Ferguson,M. J. Sellars,B. C. Buchler,P. K. Lam Quantum Information: From Foundations to Quantum Technology Applications, Volumes 1 and 2 (2016)

Highly efficient optical quantum memory with long coherence time in cold atoms Y.-W. Cho, G. T. Campbell, J. L. Everett, J. Bernu, D. B. Higginbottom, M. T. Cao, J. Geng, N. P. Robins, P. K. Lam, and B. C. Buchler Optica, 3, 100 (2016)