Revisiting semiconductor bulk hamiltonians using quantum computers

被引:1
|
作者
Pimenta, Raphael Cesar de Souza [1 ]
Bezerra, Anibal Thiago [2 ]
机构
[1] Univ Fed Santa Catarina, Dept Fis, Roberto Sampaio Gonzaga s-n, Florianopolis, SC, Brazil
[2] Univ Fed Alfenas, Dept Fis, Jovino Fernandes Sales 2600, Alfenas, MG, Brazil
关键词
semiconductors; quantum computers; NISQ; k; p Method; SYSTEMS;
D O I
10.1088/1402-4896/acbdc8
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
With the advent of near-term quantum computers, it is now possible to simulate solid-state properties using quantum algorithms. By an adequate description of the system's Hamiltonian, variational methods enable to fetch of the band structure and other fundamental properties as transition probabilities. Here, we describe semiconductor structures of the III-V family using k center dot p Hamiltonians and obtain their band structures using a state vector solver, a probabilistic simulator, and a real noisy-device simulator. The resulting band structures are in good agreement with those obtained by direct diagonalization of the Hamiltonian. The simulation times depend on the optimizer, circuit depth, and simulator used. Finally, with the optimized eigenstates, we convey the inter-band absorption probability, demonstrating the possibility of analyzing the fundamental properties of crystalline systems using quantum computers.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Using Quantum Computers for Quantum Simulation
    Brown, Katherine L.
    Munro, William J.
    Kendon, Vivien M.
    ENTROPY, 2010, 12 (11) : 2268 - 2307
  • [2] Advances in Modeling of Noisy Quantum Computers: Spin Qubits in Semiconductor Quantum Dots
    Costa, Davide
    Simoni, Mario
    Piccinini, Gianluca
    Graziano, Mariagrazia
    IEEE ACCESS, 2023, 11 : 98875 - 98913
  • [3] Research and Development of Quantum Computers Based on Superconductor and Semiconductor Devices
    Yamamoto T.
    Mori T.
    IEEJ Transactions on Fundamentals and Materials, 2022, 142 (05) : 183 - 189
  • [4] A demonstration of contextuality using quantum computers
    Laghaout, Amine
    Dikme, Altay
    Reichel, Nicolas
    Bjork, Gunnar
    EUROPEAN JOURNAL OF PHYSICS, 2022, 43 (05)
  • [5] Simulating Chemistry Using Quantum Computers
    Kassal, Ivan
    Whitfield, James D.
    Perdomo-Ortiz, Alejandro
    Yung, Man-Hong
    Aspuru-Guzik, Alan
    ANNUAL REVIEW OF PHYSICAL CHEMISTRY, VOL 62, 2011, 62 : 185 - 207
  • [6] Quantum adiabatic protocols using emergent local Hamiltonians
    Modak, Ranjan
    Vidmar, Lev
    Rigol, Marcos
    PHYSICAL REVIEW E, 2017, 96 (04)
  • [7] ALGEBRAIC QUANTUM HAMILTONIANS ON THE PLANE
    Sokolov, V. V.
    THEORETICAL AND MATHEMATICAL PHYSICS, 2015, 184 (01) : 940 - 952
  • [8] Quantum Computers and Quantum Algorithms. Part 1. Quantum Computers
    Solovyev, V. M.
    IZVESTIYA SARATOVSKOGO UNIVERSITETA NOVAYA SERIYA-MATEMATIKA MEKHANIKA INFORMATIKA, 2015, 15 (04): : 462 - 477
  • [9] Theory of ultrafast photoinduced electron transfer from a bulk semiconductor to a quantum dot
    Rasmussen, Andrew M.
    Ramakrishna, S.
    Weiss, Emily A.
    Seideman, Tamar
    JOURNAL OF CHEMICAL PHYSICS, 2014, 140 (14)
  • [10] Hyperbolic Deformation on Quantum Lattice Hamiltonians
    Ueda, Hiroshi
    Nishino, Tomotoshi
    JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, 2009, 78 (01)