course
Qiskit Global Summer School 2024: Quantum Computing and Simulation
IBM Quantum Research Team
5 courses · 16 tutorials
course
IBM Quantum Research Team
course
Xanadu / Community
course
Prof. Elias Fernandez-Combarro Alvarez, University of Oviedo
course
Hasso Plattner Institute / IBM Quantum
course
Hasso Plattner Institute / IBM Quantum
Implement the Variational Quantum Eigensolver (VQE) in PyQuil to find the ground state energy of molecular hydrogen. Build the Hamiltonian, parameterized ansatz, and classical optimization loop.
Use Q# and the Microsoft.Quantum.Chemistry library to simulate molecular ground state energies, covering Jordan-Wigner encoding, Broombridge data, and phase estimation.
Build a complete VQE implementation for H2 using Cirq's parametric gates, OpenFermion for the qubit Hamiltonian, scipy for classical optimization, and the parameter shift rule for exact gradients.
A comprehensive guide to the Variational Quantum Eigensolver: ansatz design, optimizer selection, barren plateaus, and a complete H2 ground state calculation using Qiskit's Estimator primitive.
Build a complete quantum chemistry pipeline: encode the H2 Hamiltonian with OpenFermion, transform it to qubits via Jordan-Wigner, then find the ground state energy using VQE on Qiskit's statevector simulator.
Implement the Variational Quantum Eigensolver to find the ground state energy of a hydrogen molecule using PennyLane and gradient-based optimization.
How quantum computers simulate molecular systems: from second quantization and fermion-to-qubit mappings to VQE and the active space approximation.
A complete walkthrough of VQE for the hydrogen molecule in Qiskit Nature, from PySCF driver and Jordan-Wigner mapping through UCCSD ansatz and classical optimization.
Run variational quantum algorithms using Amazon Braket Hybrid Jobs: managed classical compute + quantum access in one job, with checkpointing and cost tracking.
Set up molecular Hamiltonians in OpenFermion, apply Jordan-Wigner mapping to convert fermionic operators to Pauli strings, and build a VQE circuit in Cirq.
Use PennyLane's quantum chemistry module to build molecular Hamiltonians, construct UCCSD circuits, and run VQE to find ground state energies.
Set up and run a molecular ground state energy calculation in Qiskit Nature: driver setup, active space selection, Jordan-Wigner mapping, and VQE optimization.
How VQE works: the variational principle, ansatz design, classical optimizer loop, and a complete Qiskit implementation for finding the ground state of a simple Hamiltonian.
Full VQE for LiH using PennyLane's qchem module: molecular Hamiltonian, Hartree-Fock initial state, UCCSD ansatz, optimization, and potential energy surface scan.
How to implement the Variational Quantum Eigensolver (VQE) using tket's parameterized circuits and scipy optimization.
A complete end-to-end VQE simulation of the water molecule using Qiskit Nature: PySCFDriver setup, active space reduction from 10 electrons in 7 orbitals to 4 electrons in 4 orbitals, Jordan-Wigner mapping, UCCSD ansatz, and comparison with Hartree-Fock and CCSD references.