Researchers from Rigetti Computing and the Commonwealth Bank of Australia (CBA) announce they have taken an important step towards the use of quantum computing in the financial services sector. This week, they published details of […]
Researchers at CNRS, IRIF and Université Paris Diderot have described the first CNN implementation on quantum processors, with an advantage that could allow for bigger and faster CNN, thus many more applications.
IBM recently added support in Qiskit for trapped ion-based quantum computing devices.
Microsoft Quantum is driving innovation in quantum computing with Azure Quantum to address complex global challenges through a scalable quantum system.
Researchers at Google Research and X, The Moonshot Factory have proposed modifications to the Quantum Approximate Optimization Algorithm (QAOA).
PennyLane, Xanadu’s software for quantum machine learning & optimization of hybrid quantum-classical computations, now has support for Google AI Cirq via the new PennyLane-Cirq plugin!
Researchers at University of Trento, Italy, propose a hybrid quantum-classical algorithm to solve optimization problems with an adiabatic machine assuming restrictions on the class of available problem Hamiltonians.
A team at Argonne National Laboratory and Clemson University in USA has performed a large-scale numerical study of the approximation ratios attainable by QAOA.
Solving linear systems of equations is an essential component in science and technology, including in many machine learning algorithms. Existing quantum algorithms have demonstrated large speedups in solving linear systems, but the required quantum resources […]
The Green’s function plays a crucial role to study the nature of quantum many-body systems, especially strongly-correlated systems. Although the development of quantum computers in near term is expected to enable us to compute energy […]
Boltzmann machines are the basis of several deep learning methods that have been successfully applied to both supervised and unsupervised machine learning tasks. These models assume that a dataset is generated according to a Boltzmann […]
The ultimate goal of quantum error correction is to achieve the fault-tolerance threshold beyond which quantum computers can be made arbitrarily accurate. This requires extraordinary resources and engineering efforts. The researchers at Lawrence Berkeley National […]
A team of researchers from Barclays’ chief technology and innovation office, in collaboration with IBM, have published a paper describing a proof-of-concept quantum optimised application. The paper, Quantum algorithms for mixed binary optimization, published earlier in October, […]
Entropica Labs, a Singapore-based startup, announces the public release of EntropicaQAOA, a free and open source software package implementing the Quantum Approximate Optimisation Algorithm (QAOA). QAOA is an algorithm designed for near-term quantum computers, and has […]
Researchers at the University of Chicago have introduced a technique for compiling highly optimized quantum instructions that can be executed on near-term hardware. This technique is particularly well suited to a new class of variational […]
High-energy physics is replete with hard computational problems and it is one of the areas where quantum computing could be used to speed up calculations. The researchers present an implementation of likelihood-based regularized unfolding on […]
Methods for electronic structure based on Gaussian and molecular orbital discretizations offer a well established, compact representation that forms much of the foundation of correlated quantum chemistry calculations on both classical and quantum computers. Despite […]
Quantum-Kit is a graphical desktop application for quantum circuit simulations. Its powerful, memory-efficient computational engine enables large-scale simulations on a desktop. The ability to design hybrid circuits, with both quantum and classical bits and controls, […]
Although several models have been proposed towards assisting machine learning (ML) tasks with quantum computers, a direct comparison of the expressive power and efficiency of classical versus quantum models for datasets originating from real-world applications […]
We have just sadly been told that Peter Wittek has gone missing on a Himalaya expedition. Peter has been one of the most influential member of the quantum machine learning community. We hope he’ll be […]
Solving linear systems of equations is central to many engineering and scientific fields. Several quantum algorithms have been proposed for linear systems, where the goal is to prepare |x⟩ such that A|x⟩∝|b⟩. While these algorithms are promising, the […]
Researchers at X, The Moonshot Factory and Google Research have just released a very interesting paper about Quantum Graph Neural Networks (QGNN). QGNNs are a new class of quantum neural network ansatze which are tailored […]
QC Ware is launching its Forge cloud platform for accessing the quantum computing hardware and simulators of major vendors. Forge will give developers the ability to run their algorithms on a variety of hardware platforms and simulators. […]
There have been a lot of hype and buzz since last week. At least, here is a smart article written by a smart guy. Read it up to the end – it’s worth it. Scott’s […]
Boston-based Aliro Technologies, a spinout of the NarangLab at Harvard University, aims to develop a hardware-agnostic quantum computing software platform. Its vision is to create the “Java of quantum computing”. The startup has just closed […]