Spin-based Quantum Computing in Silicon Andrew Dzurak UNSW - Australia
[email protected] Australian National US-Australia Enabling Technologies Exchange Meeting Fabrication Facility Arlington, VA, 13 May 2015 Quantum Information Science Data Security Decryption National Security Financial Services National Security e-Commerce Intelligence Integrated Circuits Killer Apps ? Extending Moore’s Law High Performance Computing Database Searching Bioinformatics Modeling & Design Future Vision for Spin-based QIP Co-Workers & Sponsors UNSW - Australia David Jamieson, Jeff McCallum, Michael Fogarty Lloyd Hollenberg U. Melbourne Wister Huang Steve Flammia, Stephen Bartlett Jason Hwang University of Sydney Yuxin Sun Jarryd Pla, John Morton UCL, UK Ruichen Zhao Jason Cheng, Charles Smith Dr Fay Hudson Cambridge, UK Dr Alessandro Rossi Malcolm Carroll Sandia National Lab Dr Menno Veldhorst Dr Henry Yang Gerhard Klimeck, Rajib Rahman Purdue Dr Juan-Pablo Dehollain Charles Tahan, Rusko Ruskov LPS, USA Dr Fahd Mohiyaddin Kohei Itoh Keio University, Japan Dr Juha Muhonen Mikko Möttönen Aalto, Finland Dr Arne Laucht A/Prof Andrea Morello Floris Zwanenburg Twente, Netherlands Spin Qubits in Semiconductors Si:P Donors: Electron & Nuclear Spin Qubits in 28Si J. Muhonen et al., Nature Nanotechnol. 9, 986 (2014) SiMOS Quantum Dot: Electron Spin Qubit in 28Si M. Veldhorst et al., Nature Nanotechnol. 9, 981 (2014) Spin Qubits in Semiconductors Spin Qubits in Silicon • Long Coherence Times in Silicon at 1K: Nuclear – mins Electron – ms-s • Scalable • Industry “Compatible” B=2T Intel 300 mm Si Wafer 22nm Gate Length Single Atom Nanotechnologies: Top-Down & Bottom-Up Jamieson, Yang, Hopf, O'Brien, Schofield, Hearne, Pakes, Prawer, Simmons, Clark, ASD, Mitic, Gauja, Andresen, Curson, Kane, McAlpine, Hudson, ASD and Clark, Hawley and Brown, Appl.