Google Quantum Supremacy?
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
Aliro Technologies wants to create the Java of quantum computing
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
Nondestructive classification of quantum states using an algorithmic quantum computer
Methods of processing quantum data become more important as quantum computing devices improve their quality towards fault tolerant universal quantum computers. These methods include discrimination and filtering of quantum states given as an input to
AQT and University of Innsbruck leverage Google Cirq for quantum algorithm development
Alpine Quantum Technologies (AQT) and the University of Innsbruck provides direct access to their ion-trap quantum computer via Cirq, a framework developed by Google focused on developing and implementing quantum algorithms. Cirq can be used
Quantum specially-designed algorithms with less memory requirements
Researchers at Dutch Centrum Wiskunde & Informatica (CWI) focus on a type of classic algorithm called a random walk algorithm. Random walk algorithms are used when a computer is looking for something but doesn’t know
BASF predicts chemical reactivity using quantum algorithms
BASF and HQS Quantum Simulations, both German companies, collaborates in quantum chemistry for prediction of chemical reactivity. They used the hybrid quantum-classical variational quantum eigensolver algorithm in combination with the unitary coupled-cluster ansatz (UCCSD-VQE) that could provide
Unsupervised and Supervised Learning on Quantum Computers
Machine learning algorithms perform well on identifying patterns in many datasets due to their versatility. However, as one increases the size of the data, the time for training and using these statistical models grows quickly.
Researchers designed a quantum algorithm based on convolutional neural networks
Researchers at Harvard University recently developed a quantum circuit-based algorithm inspired by convolutional neural networks (CNNs). This new technique is therefore called Quantum Convolutional Neural Network (QCNN). The team found a connection between two characteristics of CNNS
Observation of geometric phase in a molecular Aharonov-Bohm system using IBM Quantum Computer
The evolution of a quantum system is governed by the associated Hamiltonian. A system defined by a parameter-dependent Hamiltonian acquires a geometric phase when adiabatically evolved. Such an adiabatic evolution of a system having non-degenerate
Alibaba Cloud Quantum Development Platform: Applications to Quantum Algorithm Design
The researchers team reports their work on the Alibaba Cloud Quantum Development Platform (AC-QDP). They demonstrate with figures how AC-QDP helps in testing large-scale quantum algorithms (currently within the QAOA framework). They give new benchmark