Classiq 1.0 is designed for enterprise quantum R&D groups, algorithm developers, researchers and engineering teams that need to connect classical logic and constraints to quantum models and carry that ...

Quantum computing technology is complex, getting off the ground and maturing. There is promise of things to come. potentially ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Mr. Shinners is a pianist and harpsichordist and hosts the podcast “W.T.F. Bach.” Classical music has been in a crisis for decades. New generations don’t seem to care about it. The institutions that ...

quantum-protein-folding/ ├── qpf/ # Main package │ ├── __init__.py │ ├── encoding.py # Sequence encoding and preprocessing │ ├── circuits.py # Quantum circuit designs │ ├── operators.py # Quantum ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

This project proposes the development and mentorship of a hybrid quantum-classical algorithmic framework to solve the Minimum Steiner Tree problem, a fundamental combinatorial optimization challenge ...

Introduction: We present Quantum Adaptive Search (QAGS), a hybrid quantum-classical algorithm for global optimization of multivariate functions. The method employs an adaptive mechanism that ...

1 School of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China. 2 Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of ...