Researchers from NVIDIA, Stony Brook University, and Brookhaven National Laboratory have developed a charge-preserving quantum algorithm (CPVQD) to improve quantum simulations of excited states. By using symmetry and conserved charges, CPVQD reduces system complexity, enabling faster and more efficient simulations, particularly in quantum chemistry and nuclear physics. Tested on systems with up to 24 qubits, this algorithm achieved enhanced computational performance through NVIDIA’s CUDA-Q platform and NERSC’s Perlmutter system. Despite its efficiency, challenges like noise and scalability on current quantum hardware remain.
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