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Researchers at the University of Surrey have demonstrated a qubit-efficient mapping strategy within the Variational Quantum Eigensolver framework that reduces ground state calculation errors for boron-10 to 0.21%, a significant improvement over previous methods. By utilizing Slater determinant mapping, this approach offers a viable pathway to scaling quantum simulations for increasingly complex nuclei, addressing the exponential computational costs inherent in modeling nuclear physics. This advancement highlights a critical step toward making quantum simulations of atomic structures feasible on current hardware.

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Researchers Map Nuclei Using Fewer Qubits with Quantum Algorithm

Quantum ZeitgeistJune 4, 20265 min read

A 0. 21% error in calculating the ground state of boron-10 represents a new level of precision for this type of quantum simulation. This result, achieved using a specific qubit mapping strategy, outperforms alternative methods which yielded errors of 3.

Chandan Sarma and Paul Stevenson at University of Surrey have developed a qubit-efficient variational algorithm, comparing three distinct qubit-mapping strategies within the Variational Quantum Eigensolver (VQE) approach. Their algorithm, focused on the nuclei 10B and 12C, shows that a Slater determinant to qubit mapping achieves the most accurate results on quantum hardware, with a 0.21% error for the ground state of 10B following error mitigation. The algorithm offers a pathway to scaling VQE algorithms for increasingly complex nuclei, potentially advancing our understanding of nuclear physics through quantum computation. Error rates in calculating the ground state of the 10B nucleus have…

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