Enhancing quantum utility: Simulating large-scale quantum spin chains on superconducting quantum computers
Talal Ahmed Chowdhury, Kwangmin Yu, Mahmud Ashraf Shamim, M. L. Kabir, Raza Sabbir Sufian
Abstract
We present the quantum simulation of the frustrated quantum spin-<a:math xmlns:a="http://www.w3.org/1998/Math/MathML"><a:mfrac><a:mn>1</a:mn><a:mn>2</a:mn></a:mfrac></a:math> antiferromagnetic Heisenberg spin chain with competing nearest-neighbor <b:math xmlns:b="http://www.w3.org/1998/Math/MathML"><b:mrow><b:mo>(</b:mo><b:msub><b:mi>J</b:mi><b:mn>1</b:mn></b:msub><b:mo>)</b:mo></b:mrow></b:math> and next-nearest-neighbor <c:math xmlns:c="http://www.w3.org/1998/Math/MathML"><c:mrow><c:mo>(</c:mo><c:msub><c:mi>J</c:mi><c:mn>2</c:mn></c:msub><c:mo>)</c:mo></c:mrow></c:math> exchange interactions in the real superconducting quantum computer with qubits ranging up to 100. In particular, we implement the Hamiltonian with the next-nearest neighbor exchange interaction in conjunction with the nearest-neighbor interaction on IBM's superconducting quantum computer and carry out the time evolution of the spin chain by employing the first-order Trotterization. Furthermore, our implementation of the second-order Trotterization for the isotropic Heisenberg spin chain, involving only nearest-neighbor exchange interaction, enables precise measurement of the expectation values of staggered magnetization observable across a range of up to 100 qubits. Notably, in both cases, our approach results in a constant circuit depth in each Trotter step, independent of the number of qubits. Our demonstration of the accurate measurement of expectation values for the large-scale quantum system using superconducting quantum computers designates the quantum utility of these devices for investigating various properties of many-body quantum systems. This will be a stepping stone to achieving the quantum advantage over classical ones in simulating quantum systems before the fault tolerance quantum era. Published by the American Physical Society 2024