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Single-step Quantum Simulation of Two Nucleons

Bhoomika Maheshwari, Paul Stevenson, P. Van Isacker

TL;DR

The paper tackles the exponential scaling of the nuclear shell-model Hamiltonian and the challenge of accessing excited states on near-term quantum devices. It combines subspace-search VQE (SSVQE) with an adaptive, symmetry-preserving ADAPT-VQE ansatz built from a double-excitation operator pool to minimize a weighted sum $L( heta)=\sum w_i \langle \phi_i| U^ap H U | \phi_i\rangle$ and converge to the lowest $k$ eigenstates within the $M_J$-conserving subspace in a single optimization. Applied to two identical nucleons in the $0p_{3/2}$ orbital mapped via Jordan-Wigner to a 4-qubit Hamiltonian, the method yields $E_0=-2.0$ MeV and $E_1=-0.4$ MeV, in agreement with exact diagonalization, using a single-parameter ansatz ($ heta_0=0.785$) and a compact circuit. These results demonstrate a scalable, symmetry-aware quantum-classical workflow capable of capturing ground and low-lying excited-state structure in nuclear systems on NISQ devices, with potential extensions to larger spaces and isospin-inclusive configurations.

Abstract

Quantum computing offers a scalable approach to solving the nuclear shell model, a highly complex and exponentially scaled many-body problem. This work presents a numerical simulation of the subspace search variational quantum eigensolver (SSVQE) combined with an adaptive derivative-assembles pseudo-trotter (ADAPT) ansatz to obtain the low-lying states of any nuclear system in a single optimization run. As an example, we apply this method in this work to a trivial identical nucleon system, two nucleons in the $0p_{3/2}$ orbital, mapped to 4 qubits depicting m-scheme single-particle states including a surface delta effective interaction using the Jordan-Wigner transformation. The ADAPT-SSVQE algorithm, by utilizing a symmetry-preserving double-excitation ADAPT operator pool, uniquely optimizes a weighted energy sum, forcing the simultaneous convergence of two lowest states within the total angular momentum $M_J=0$ subspace. We demonstrate the accuracy of the method by benchmarking against the exact diagonalization, confirming its potential for probing nuclear structure and pairing phenomena on current and near-future quantum devices without requiring multi-step procedure for excited states.

Single-step Quantum Simulation of Two Nucleons

TL;DR

The paper tackles the exponential scaling of the nuclear shell-model Hamiltonian and the challenge of accessing excited states on near-term quantum devices. It combines subspace-search VQE (SSVQE) with an adaptive, symmetry-preserving ADAPT-VQE ansatz built from a double-excitation operator pool to minimize a weighted sum and converge to the lowest eigenstates within the -conserving subspace in a single optimization. Applied to two identical nucleons in the orbital mapped via Jordan-Wigner to a 4-qubit Hamiltonian, the method yields MeV and MeV, in agreement with exact diagonalization, using a single-parameter ansatz () and a compact circuit. These results demonstrate a scalable, symmetry-aware quantum-classical workflow capable of capturing ground and low-lying excited-state structure in nuclear systems on NISQ devices, with potential extensions to larger spaces and isospin-inclusive configurations.

Abstract

Quantum computing offers a scalable approach to solving the nuclear shell model, a highly complex and exponentially scaled many-body problem. This work presents a numerical simulation of the subspace search variational quantum eigensolver (SSVQE) combined with an adaptive derivative-assembles pseudo-trotter (ADAPT) ansatz to obtain the low-lying states of any nuclear system in a single optimization run. As an example, we apply this method in this work to a trivial identical nucleon system, two nucleons in the orbital, mapped to 4 qubits depicting m-scheme single-particle states including a surface delta effective interaction using the Jordan-Wigner transformation. The ADAPT-SSVQE algorithm, by utilizing a symmetry-preserving double-excitation ADAPT operator pool, uniquely optimizes a weighted energy sum, forcing the simultaneous convergence of two lowest states within the total angular momentum subspace. We demonstrate the accuracy of the method by benchmarking against the exact diagonalization, confirming its potential for probing nuclear structure and pairing phenomena on current and near-future quantum devices without requiring multi-step procedure for excited states.

Paper Structure

This paper contains 5 sections, 6 equations, 2 figures.

Figures (2)

  • Figure 1: Quantum circuit of the ansatz, $U(\theta)=exp(-i\theta_0A_1)$, in terms of Pauli evolution gate in terms of double-excitation operator $A_1$ (shown here for brevity without coefficients of the involved terms) with $t\equiv \theta_0=0.785$.
  • Figure 2: An equivalent representation of the quantum circuit shown in Fig. \ref{['fig:qc']} but in terms of single and double-qubit gates suitable for the real hardware implementation.