Qubit-Lab Logoqubit-lab.ch

Quantum Hamiltonian Simulation in Chemistry

Chemistry is widely regarded as one of the most promising application areas for quantum computing. The videos in this section show how molecules can be translated into quantum representations, and why Hamiltonian simulation, especially for problems such as ground state energy estimation, is considered a leading candidate for achieving real quantum advantage in practice.

The videos connect the underlying physics with the computational workflow, helping you understand the modeling steps, the algorithms involved, and where quantum methods could eventually surpass classical approaches.

Chemistry Videos

Filter by tag
Quantum Chemistry 2: Hamiltonian Simulation Algorithms (VQE, ADAPT-VQE, QPE, Trotterization, Qubitization)
CHEMISTRY#18
Released 06 Mar 2026

Quantum Chemistry 2: Hamiltonian Simulation Algorithms (VQE, ADAPT-VQE, QPE, Trotterization, Qubitization)

Open on YouTube

The video builds on the first chemistry introduction and compares the main quantum algorithm choices for estimating molecular ground-state energies in a structured, step-by-step overview. It explains which approaches are relevant on current NISQ hardware, which belong to the fault-tolerant era, and why that distinction matters when assessing realistic timelines for quantum advantage in chemistry. Coverage includes VQE and ADAPT-VQE as near-term hybrid methods, as well as Quantum Phase Estimation with trotterization and with qubitization, including the key tradeoffs in circuit depth, precision, measurement effort, and asymptotic scaling. The goal is to provide a clear framework for understanding what is feasible now and what may become important later. This video was created for an audience seeking a technically informed comparison.

ChemistryDeep Dive
Quantum Chemistry 1: Hamiltonian Simulation
CHEMISTRY#17
Released 06 Mar 2026

Quantum Chemistry 1: Hamiltonian Simulation

Open on YouTube

The video introduces quantum computing for chemistry through the example of molecular ground state problems and explains why chemistry is often considered a leading candidate for eventual real quantum advantage. It outlines how chemical systems are translated into quantum representations, why ground state energy matters in practice, and which core concepts are needed before moving to algorithms. Coverage includes the motivation from chemistry, the idea of the electronic Hamiltonian, and the basic pipeline from molecule to qubits. The video is designed to build intuition without losing scientific rigor. This video was created for a broad audience interested in chemistry and quantum computing.

ChemistryDeep Dive