Abstract: Variational Quantum Algorithms (VQAs) are becoming the primary computational primitive for next-generation quantum computers, particularly those embedded as resource-constrained accelerators ...

In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum ...

For the moment, noisy intermediate-scale quantum (named NISQ) device is the best option for quantum computation and this quantum research with tools of optimization ...

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

Google claims to have developed a quantum computer algorithm that is 13,000 times faster than the most powerful supercomputers. This would bring the technology another step closer to real-world ...

Europe’s first exascale supercomputer has just smashed a global quantum benchmark, simulating a full 50-qubit universal quantum computer for the first time. The feat pushes classical computing to its ...

They allow researchers to verify experimental results and test new algorithms long before powerful quantum machines become reality. Among these are the Variational Quantum Eigensolver (VQE), which can ...

This kind of acceleration could make quantum computers fast enough to solve real-world problems that were previously considered out of reach, Boger said. "Imagine an algorithm to optimize the global ...