Hubbard Model Quantum Simulation Benchmark
Benchmark for quantum simulation of the Hubbard model, a fundamental model of strongly correlated electrons in condensed matter physics. The relative simplicity of the Hubbard Hamiltonian allows efficient implementation on quantum hardware. Classical benchmarks show that even the most accurate VQE ansatze exhibit plateauing ground-state energy errors for larger lattices, with stronger electronic correlations magnifying the issue.[1]
- Algorithm: Variational Quantum Eigensolver (VQE)
- Category: simulation
- Qubits: 16
- Framework: Qiskit, PennyLane
- Hardware: Various (IBM Quantum, simulators)
- Reproducible: Yes
- Published:
- Hubbard-model
- condensed-matter
- VQE
- strongly-correlated
- simulation
What algorithm does Hubbard Model Quantum Simulation Benchmark use?
Hubbard Model Quantum Simulation Benchmark uses the Variational Quantum Eigensolver (VQE) algorithm, categorized under simulation.
Frequently Asked Questions
What is the Hubbard Model Quantum Simulation Benchmark benchmark?
Benchmark for quantum simulation of the Hubbard model, a fundamental model of strongly correlated electrons in condensed matter physics. The relative simplicity of the Hubbard Hamiltonian allows efficient implementation on quantum hardware. Classical benchmarks show that even the most accurate VQE ansatze exhibit plateauing ground-state energy errors for larger lattices, with stronger electronic correlations magnifying the issue.
Is Hubbard Model Quantum Simulation Benchmark reproducible?
Yes, this benchmark is reproducible.