Cambridge Quantum Computing (CQC) today announced the discovery of a new algorithm that accelerates quantum Monte Carlo integration – shortening the time to quantum advantage and confirming the critical importance of quantum computing to the […]
Google Quantum Summer Symposium 2021
The Quantum Summer Symposium (QSS) is Google Quantum AI’s annual conference. It brings together experts in academia, industry and government to discuss progress in quantum computing research. This year’s event is virtual. If you are […]
Quantum Machine Learning on QC Ware Forge built on Amazon Braket
In this post, Fabio Sanches, Quantum Computing Services Lead for QC Ware, introduces you to QC Ware Forge, which is built on Amazon Braket. It provides turnkey quantum algorithms, so you can speed up research into applying […]
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Goldman Sachs and QC Ware collaborate in Quantum Monte Carlo simulations
Goldman Sachs and QC Ware researchers have designed new, robust quantum algorithms that outperform state-of-the-art classical algorithms for Monte Carlo simulations and can be used on near-term quantum hardware expected to be available in 5 to 10 […]
CaixaBank develops risk classification model using Quantum Computing
CaixaBank is progressing in its preparation strategy for the arrival of quantum computing. After successfully performing the first real tests of quantum computing to study the applications of this technology in financial services, the institution […]
Overview of DRL for our quantum architecture search framework
Quantum Architecture Search via Deep Reinforcement Learning
Recent advances in Quantum Computing have drawn considerable attention to building realistic application for and using quantum computers. However, designing a suitable quantum circuit architecture requires expert knowledge. For example, it is non-trivial to design […]
Linear Ascending Metrological Algorithm
A research team around Quantum tech startup Terra Quantum pushed sensing capacity beyond what has previously been achievable by exploiting quantum resources. Human understanding of the world and our technological progress are often limited by […]
Federated Quantum Machine Learning
Federated Quantum Machine Learning
Distributed training across several quantum computers could significantly improve the training time and if we could share the learned model, not the data, it could potentially improve the data privacy as the training would happen […]
Nvidia announces its Quantum Stack cuQuantum
Nvidia has just announced at their GTC event about the performance of quantum simulators using the DGX A100 and its own custom-cooked quantum development software stack, called cuQuantum. The thing is, most of the quantum […]
Pablo Bonilla Ataides (left) with co-author Dr Ben Brown from the School of Physics. Credit: Louise Cooper
Student’s homework picked up by Amazon
University of Sydney science undergraduate Pablo Bonilla Ataides has tweaked some computing code to effectively double its capacity to correct errors in the quantum computers. This homework has attracted the attention of quantum computing programmers at Amazon […]
