

Barclays (and others) strive for machine learning at quantum speed
Embryonic work on quantum neural networks raises hope of faster, more accurate models
Fans of Douglas Adams’ sci-fi work, The Hitchhiker’s Guide to the Galaxy, may be familiar with the Babel fish. The tiny animal can be inserted in the ear and translates any foreign language for its host.
Financial technologists may be on their way to creating their own Babel fish: a circuit that acts as an interpreter between quantum machines and regular computers. Barclays recently used the circuit to develop a quantum version of a neural network. It was able to forecast stock prices more
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe
You are currently unable to print this content. Please contact info@risk.net to find out more.
You are currently unable to copy this content. Please contact info@risk.net to find out more.
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Printing this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@risk.net
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@risk.net
More on Technology
Risk applications and the cloud: driving better value and performance from key risk management architecture
Today's financial services organisations are increasingly looking to move their financial risk management applications to the cloud. But, according to a recent survey by Risk.net and SS&C Algorithmics, many risk professionals believe there is room for…
Machine learning models: the validation challenge
Machine learning models are seeing increasing demand across the capital markets spectrum. But how can firms improve their chances of gaining internal and regulatory approval for these type of models?
Big banks seek solace in quantum-proof encryption
Barclays, JP Morgan and SocGen act to counter threat from next generation of computing
Facing the future: the growth of automation in Asia‑Pacific fixed income trading
How can automation improve fixed income trading strategies and best execution? In a recent Asia Risk webinar, in partnership with Tradeweb, a panel of market experts discussed the outlook for automation in the trading space
Moonshots and machines: can AI solve the problems of fincrime?
New technologies such as artificial intelligence (AI) and machine learning promise much in the battle against financial crime, but where are these solutions best deployed? A panel of anti-money laundering and analytics professionals convened for a Risk…
Next-generation technologies and the future of trading
At a Risk.net webinar in association with capital markets technology provider Numerix, panellists discuss the potential for increased adoption of the public cloud to boost investment performance, its impact on risk management and overcoming barriers to…
The pitfalls of out-of the-box surveillance
In the Covid-19 era and beyond, surveillance is and will be complex and ever-evolving. For a surveillance programme to be effective, it must be able to process increasing volumes of data, integrate that data across multiple platforms and devices, and…