Machine learning at the quantum lab

September 26, 2019

For several years, the electron spin of individual electrons in a quantum dot has been identified as an ideal candidate for the smallest information unit in a quantum computer, otherwise known as a qubit.

Controlled via applied voltages

In quantum dots made of layered semiconductor materials, individual electrons are caught in a trap, so to speak. Their spins can be determined reliably and switched quickly, with researchers keeping the electrons under control by applying voltages to the various nanostructures within the trap. Among other things, this allows them to control how many electrons enter the quantum dot from a reservoir via tunneling effects. Here, even small changes in voltage have a considerable influence on the electrons.

For each quantum dot, the applied voltages must therefore be tuned carefully in order to achieve the optimum conditions. When several quantum dots are combined to scale the device up to a large number of qubits, this tuning process becomes enormously time-consuming because the semiconductor quantum dots are not completely identical and must each be characterized individually.

Automation thanks to machine learning

Now, scientists from the Universities of Oxford, Basel, and Lancaster have developed an algorithm that can help to automate this process. Their machine-learning approach reduces the measuring time and the number of measurements by a factor of approximately four in comparison with conventional data acquisition.

First, the scientists train the machine with data on the current flowing through the quantum dot at different voltages. Like facial recognition technology, the software gradually learns where further measurements are needed with a view to achieving the maximum information gain. The system then performs these measurements and repeats the process until effective characterization is achieved according to predefined criteria and the quantum dot can be used as a qubit.

"For the first time, we've applied machine learning to perform efficient measurements in gallium arsenide quantum dots, thereby allowing for the characterization of large arrays of quantum devices," says Dr. Natalia Ares from the University of Oxford. "The next step at our laboratory is now to apply the software to semiconductor quantum dots made of other materials that are better suited to the development of a quantum computer," adds Professor Dr. Dominik Zumbühl from the Department of Physics and the Swiss Nanoscience Institute at the University of Basel. "With this work, we've made a key contribution that will pave the way for large-scale qubit architectures."
-end-
Original source:

Efficiently measuring a quantum device using machine learning
D.T. Lennon, H. Moony, L.C. Camenzind, Liuqi Yu, D.M. Zumbuhl, G.A.D. Briggs, M.A. Osborne, E.A. Laird, and N. Ares
npj Quantum Information, doi: 10.1038/s41534-019-0193-4

Further information:

Dr. Natalia Ares
Materials Department, Oxford University
16 Parks Road
Oxford, OX1 3PH, UK
Tel: +44 (0)1865 273719
natalia.ares@materials.ox.ac.uk
https://www.natalia-ares.com/

Prof. Dr. Dominik M. Zumbühl
Department of Physics, University of Basel
Klingelbergstrasse 82
4056 Basel, Switzerland
T +41 (0)61 207 36 93
dominik.zumbuhl@unibas.ch
http://ZumbuhlLab.unibas.ch

Dr. Edward Laird
Department of Physics, Lancaster University
Office: A051, A - Floor, Physics Building
Lancaster LA1 4YB, UK
Tel: +44 (0)1524 510831
e.a.laird@lancaster.ac.uk
http://wp.lancs.ac.uk/laird-group/

Swiss Nanoscience Institute, University of Basel

Related Quantum Dots Articles from Brightsurf:

Direct visualization of quantum dots reveals shape of quantum wave function
Trapping and controlling electrons in bilayer graphene quantum dots yields a promising platform for quantum information technologies.

Scientists age quantum dots in a test tube
Researchers from MIPT and the RAS Institute of Problems of Chemical Physics have proposed a simple and convenient way to obtain arbitrarily sized quantum dots required for physical experiments via chemical aging.

'Growing' active sites on quantum dots for robust H2 photogeneration
Chinese researchers had achieved site- and spatial- selective integration of earth-abundant metal ions in semiconductor quantum dots (QDs) for efficient and robust photocatalytic H2 evolution from water.

New insights into the energy levels in quantum dots
Researchers from Basel, Bochum and Copenhagen have gained new insights into the energy states of quantum dots.

What a pair! Coupled quantum dots may offer a new way to store quantum information
Researchers at the National Institute of Standards and Technology (NIST) and their colleagues have for the first time created and imaged a novel pair of quantum dots -- tiny islands of confined electric charge that act like interacting artificial atoms.

Spinning quantum dots
A new paper in EPJ B presents a theoretical analysis of electron spins in moving semiconductor quantum dots, showing how these can be controlled by electric fields in a way that suggests they may be usable as information storage and processing components of quantum computers.

Controlling the charge state of organic molecule quantum dots in a 2D nanoarray
Australian researchers have fabricated a self-assembled, carbon-based nanofilm where the charge state (ie, electronically neutral or positive) can be controlled at the level of individual molecules.

Modified quantum dots capture more energy from light and lose less to heat
Los Alamos National Laboratory scientists have synthesized magnetically-doped quantum dots that capture the kinetic energy of electrons created by ultraviolet light before it's wasted as heat.

Using quantum dots and a smartphone to find killer bacteria
A combination of off-the-shelf quantum dot nanotechnology and a smartphone camera soon could allow doctors to identify antibiotic-resistant bacteria in just 40 minutes, potentially saving patient lives.

Synthesizing single-crystalline hexagonal graphene quantum dots
A KAIST team has designed a novel strategy for synthesizing single-crystalline graphene quantum dots, which emit stable blue light.

Read More: Quantum Dots News and Quantum Dots Current Events
Brightsurf.com is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to Amazon.com.