This paper improves and demonstrates the usefulness of the first quantized plane-wave algorithms for the quantum simulation of electronic structure. The researchers describe their quantum algorithm for first quantized simulation that accurately includes pseudopotentials. They […]
AI and Quantum Computing Revolutionize Molecular Science
The landscape of scientific research is rapidly transforming through groundbreaking advancements in artificial intelligence and quantum computing, with recent developments promising revolutionary impacts across multiple disciplines. The Nobel Prize in Chemistry has recognized the pivotal […]
A Hybrid Approach to Overcoming Computational Challenge
Quantum computing represents a revolutionary frontier in computational technology, promising unprecedented computational power. However, the field has long grappled with significant technical challenges that have limited its practical implementation. This research introduces an innovative hybrid […]
V-Score: A New Benchmark for Quantum and Classical Computing
Scientists are developing innovative ways to benchmark the potential of quantum computing in solving complex scientific problems, particularly in understanding material systems. The research, led by physicist Giuseppe Carleo at the Swiss Federal Institute of […]
Local testability of distance-balanced quantum codes
npj Quantum Information, Published online: 20 November 2024; doi:10.1038/s41534-024-00908-8 In this paper, scientists proved a lower bound on the soundness of quantum locally testable codes under the distance balancing construction of Evra et al. Their […]
Tailored cluster states with high threshold under biased noise
Fault-tolerant cluster states form the basis for scalable measurement-based quantum computation. Recently, new stabilizer codes for scalable circuit-based quantum computation have been introduced that have very high thresholds under biased noise where the qubit predominantly […]
Theoretical error performance analysis for VQC-based functional regression
The noisy intermediate-scale quantum devices enable the implementation of the Variational Quantum Circuit (VQC) for Quantum Neural Networks (QNN). Although the VQC-based QNN has succeeded in many machine learning tasks, the representation and generalization powers […]
Quantum Computer programming basics
Los Alamos National Laboratory recently published a Quantum Computer programming guide in ACM Transactions on Quantum Computing. For would-be quantum programmers scratching their heads over how to jump into the game as quantum computers proliferate and become publicly […]
Theory suggests Quantum Computers should be exponentially faster in Machine Learning
A team of researchers including Google Quantum AI has developed a theory suggesting that quantum computers should be exponentially faster on some learning tasks than classical machines. The scientists tested their work on Google’s Sycamore […]
Next generation of quantum algorithms and materials
To overcome the limitations of current quantum computers, researchers at Pacific Northwest National Laboratory (PNNL) are developing simulations that provide a glimpse into how quantum computers work. In collaboration with Oak Ridge National Laboratory and […]