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Quantum Computing: the work targets error mitigation for variational quantum eigensolver (VQE) molecular simulations. The reported gains come from simulations of water and cyclobutadiene, so readers should check how the method performs on real noisy hardware and at larger molecular scales. The main thing to watch is whether ERPA's measurement savings hold up outside these test cases.
Researchers Cut Variational Quantum Eigensolver Energy Errors by Orders of Magnitude
Energy errors plummeted by orders of magnitude during simulations of water and cyclobutadiene using a new error mitigation strategy, extended random phase approximation. This advance outperforms existing methods like quantum subspace expansion while demanding fewer measurements from noisy quantum computers. The technique reconstructs key data to filter out errors, paving the way for more dependable molecular modelling on near-term hardware.
Energy errors in quantum simulations have been reduced by orders of magnitude through an error-mitigation strategy called extended random phase approximation (ERPA). The Heyrovský Institute team developed ERPA to reconstruct key data, the two-particle reduced density matrix, from noisy measurements; this filters out errors improving calculations for molecular modelling. Unlike existing methods, it requires fewer measurements making it an efficient route towards reliable electronic structure calculations on near-term quantum computers. A new technique reduces errors in quantum computer simulations…
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