Insider Brief
Quantum Elements and USC published a peer-reviewed Quantum Monte Carlo algorithm in Physical Review Letters that provides a more efficient classical method for simulating noisy quantum circuits.
The algorithm compresses noisy quantum-circuit simulations while preserving dynamics relevant to quantum error correction, correlated noise and decoder performance.
Quantum Elements said the method supports its development of quantum error-correction digital twins, including an AWS collaboration that simulated a 97-physical-qubit surface-code syndrome-extraction round on classical computing infrastructure.
PRESS RELEASE — Quantum Elements and USC today announced the publication of a new Quantum Monte Carlo algorithm in Physical Review Letters, providing a more efficient way to simulate noisy quantum circuits on classical computers and supporting the company’s development of digital twins for quantum error correction.
