Ion trap in the Quantum Control Laboratory used in the experiment for the research.
Scientists at the University of Sydney have adapted techniques from autonomous vehicles and robotics to efficiently assess the performance of quantum devices, an important process to help stabilise the emerging technologies.
The innovative approach has been shown experimentally to outperform simplistic characterisation of these environments by a factor of three, with a much higher result for more complex simulated environments.
“Using this approach, we can map the ‘noise’ causing performance variations across quantum devices at least three times as quickly as a brute-force approach,” said lead author Riddhi Gupta, a PhD student in the School of Physics. “Rapidly assessing the noise environment can help us improve the overall stability of quantum devices.”
The research has been published in Nature partner journal Quantum Information.
Quantum computing is still in its early stages of development yet promises to revolutionise technology by solving problems beyond the scope of classical computing.
One of the barriers to develop these systems to practical scale is overcoming the imperfections of hardware. The basic units of quantum technology – quantum bits, or qubits – are highly sensitive to disturbance from their environments, such as electromagnetic ‘noise’, and exhibit performance variations that reduce their usefulness.
Ms Gupta, also part of the ARC Centre of Excellence for Engineered Quantum Systems, has taken techniques from classical estimation used in robotics and adapted them to improve hardware performance. This is achieved through the efficient automation of processes that map both the environment of and performance variations across large quantum devices.
“Our idea was to adapt algorithms used in robotics that map the environment and place an object relative to other objects in their estimated terrain,” she said. “We effectively use some qubits in the device as sensors to help understand the classical terrain in which other qubits are processing information.”
In robotics, machines rely on simultaneous localisation and mapping, or SLAM, algorithms. Devices like robotic vacuum cleaners are continuously mapping their environments then estimating their location within that environment in order to move.
The difficulty with adapting SLAM algorithms to quantum systems is that if you measure, or characterise, the performance of a single qubit, you destroy its quantum information.
What Ms Gupta has done is develop an adaptive algorithm that measures the performance of one qubit and uses that information to estimate the capabilities of nearby qubits.
“We have called this ‘Noise Mapping for Quantum Architectures’. Rather than estimate the classical environment for each and every qubit, we are able to automate the process, reducing the number of measurements and qubits required, which speeds up the whole process,” Ms Gupta said.
Dr Cornelius Hempel, whose experimental team provided Ms Gupta with data from experiments on a one-dimensional string of trapped ions, said he was pleased to see a threefold improvement even in the mapping of such a small quantum system.
“However, when Riddhi modelled this process in a larger and more complex system, the improvement in speed was as high as twentyfold. This is a great result given the future of quantum processing is in larger devices,” he said.
He said: “This work is an exciting demonstration that state-of-the-art knowledge in robotics can directly shape the future of quantum computing. This was a first step to unify concepts from these two fields, and we see a very bright future for the continued development of quantum control engineering.”
The Latest Updates from Bing News & Google News
Go deeper with Bing News on:
Stabilizing quantum technology
- Outlook on the Global Stabilizing Quantum Bits for Computing Market to 2030 - ResearchAndMarkets.comon June 19, 2020 at 5:00 pm
The "Stabilizing Quantum Bits for Computing" report has ... computing research in universities and research institutions. Technology companies such as IBM, Google, Microsoft, D-Wave Systems ...
- Excitons can be manipulated for electronic, quantum computing applicationson June 19, 2020 at 12:09 am
The discovery shows promise for electronic, spintronic and quantum computing applications ... excitons were observed stabilizing at the materials’ ground state. According to their determination, these ...
- A proven method for stabilizing efforts to bring fusion power to Earthon June 17, 2020 at 3:28 pm
Researchers have demonstrated a method for stabilizing fusion plasmas by suppressing edge localized modes (ELMs). All efforts to replicate in tokamak fusion facilities the fusion energy that ...
- A proven method for stabilizing efforts to bring fusion power to Earthon June 17, 2020 at 1:51 pm
All efforts to replicate in tokamak fusion facilities the fusion energy that powers the sun and stars must cope with a constant problem—transient heat bursts that can halt fusion reactions and ...
- 2021 Lexus IS Wants To Play Spot the Differenceon June 16, 2020 at 7:41 am
So what has changed for the 2021 IS? It is all under the skin. The suspension has been reworked with lighter a-arms, coil springs, and stabilizer bar. There is also a new Dynamic Handling Package for ...
Go deeper with Google Headlines on:
Stabilizing quantum technology
Go deeper with Bing News on:
- Hub Security Releases First-of-its-kind Quantum-proof HSMon June 23, 2020 at 4:00 am
Following the close of its $5 million Series A funding round in late April, cybertech company Hub Security today unveiled its next-gen ...
- Global Quantum Dots Market Report 16th Edition - Featuring Avantama, Bio Square & Dotz Nano Among Others - ResearchAndMarkets.comon June 22, 2020 at 8:09 am
DUBLIN--(BUSINESS WIRE)--The "The Quantum Dots Report 2020 (16th Edition)" report has been added to ResearchAndMarkets.com's offering. Quantum Dots (QDs) are used in a range of optoelectronic devices, ...
- A New Startup Intends to Build the World’s First Large-Scale Quantum Computeron June 22, 2020 at 7:00 am
The company is building its qubits out of trapped ions rather than the superconducting circuits that have become the most popular solution in recent years.
- To live up to the hype, quantum computers must repair their error problemson June 22, 2020 at 3:04 am
Now, multiply that error rate by the billions or trillions of calculations per second possible in a typical modern computer. For complex computations, a small probability for error can quickly ...
- Honeywell Unveils the World's Fastest Quantum Computeron June 21, 2020 at 7:23 pm
The race toward quantum-computing devices capable of beating digital systems in real-world applications continues.