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! Cirq is an open-source framework for Noisy Intermediate Scale Quantum (NISQ) computers. Combine […]
An adiabatic quantum algorithm is essentially given by three elements: An initial Hamiltonian with known ground state, a problem Hamiltonian whose ground state corresponds to the solution of the given problem and an evolution schedule […]
Quantum Approximate Optimization Algorithm (QAOA) is one of the most promising quantum algorithms for the Noisy Intermediate-Scale Quantum (NISQ) era. Quantifying the performance of QAOA in the near-term regime is of utmost importance. A team […]
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 […]
