Algorithms that search for a pattern within a larger data-set appear ubiquitously in text and image processing. Pattern matching algorithms are used ubiquitously used in image processing, the study of DNA sequences, and data compression […]
Resource-efficient quantum algorithm for protein folding
A team of researchers at IBM Research – Zurich, Switzerland, has presented a resource-efficient quantum algorithm for protein folding. Predicting the three-dimensional structure of a protein from its primary sequence of amino acids is known […]
Performance advantage in quantum simulation
D-Wave Systems has published a milestone study in collaboration with scientists at Google, demonstrating a computational performance advantage, increasing with both simulation size and problem hardness, to over 3 million times that of corresponding classical […]
Particle collision simulation using Quantum Computing
A team of researchers at Lawrence Berkeley National Laboratory (Berkeley Lab) used a quantum computer to successfully simulate an aspect of particle collisions that is typically neglected in high-energy physics experiments, such as those that […]
Quantum Neural Networks
Fault-tolerant quantum computers offer the promise of dramatically improving machine learning through speed-ups in computation or improved model scalability. In the near-term, however, the benefits of Quantum Machine Learning (QML) are not so clear. Understanding […]
China’s first Quantum Computer Operating System
Origin Quantum Computing Technology, a Chinese startup, launched the country’s first homegrown operating system (OS) for quantum computers. The new OS, named Origin Pilot, has been optimized for the resource management and parallel processing capabilities […]
CQC releases tket with open access to Python users
Cambridge Quantum Computing (CQC) today announced the latest version of tket (pronounced “ticket”), its high-performance quantum software development kit (SDK), with all licence restrictions removed for use of tket’s Python module (also known as “pytket”). […]
QAOA for non-planar graph problems on a planar superconducting processor
Faster algorithms for combinatorial optimization could prove transformative for diverse areas such as logistics, finance and machine learning. A team of researchers at Google Research has demonstrated the application of the Google Sycamore superconducting qubit […]
Boosting the accuracy of chemical simulations on Quantum Computers
Some interesting article in Medium written by an interdisciplinary team of IBM researchers with partners from Daimler AG and Virginia Tech. Quantum computers are, by their very nature, well-suited to help scientists achieve breakthrough discoveries […]
Structure optimization for parameterized quantum circuits
A team of researchers has proposed an efficient method for simultaneously optimizing both the structure and parameter values of quantum circuits with only a small computational overhead. Shallow circuits that use structure optimization perform significantly […]
