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Quantum computing for computational chemistry

ffsshhttiikk By ffsshhttiikk schedule Updated 2/28/2026

name: quantum-computational description: Quantum computing for computational chemistry license: MIT compatibility: opencode metadata: audience: quantum chemists, computational scientists, researchers category: chemistry

What I do

  • Apply quantum computing to chemical problems
  • Simulate quantum systems on quantum hardware
  • Develop quantum algorithms for chemistry
  • Calculate strongly correlated systems
  • Research quantum machine learning
  • Explore quantum advantage in chemistry

When to use me

  • When simulating quantum chemistry problems
  • When exploring quantum computing applications
  • When calculating strongly correlated systems
  • When developing quantum algorithms
  • When studying quantum advantage
  • When modeling molecular quantum dynamics

Key Concepts

Quantum Computing Basics

Qubits: |0⟩, |1⟩, or superposition Quantum Gates: Hadamard, CNOT, Pauli, rotation Quantum Circuits: Sequence of gates

Variational Quantum Eigensolver (VQE)

# Example: VQE framework for quantum chemistry
def vqe(ansatz, hamiltonian, optimizer):
    """
    Find ground state energy using quantum computer.
    ansatz: Parameterized quantum circuit
    hamiltonian: Molecular Hamiltonian
    optimizer: Classical optimizer
    """
    def objective(params):
        # Prepare quantum state
        state = ansatz.apply(params)
        
        # Measure expectation value
        energy = hamiltonian.expectation(state)
        
        return energy
    
    return optimizer.minimize(objective)

# Ansatz circuits
ansatz_types = {
    'UCCSD': 'Unitary coupled cluster',
    'Hardware Efficient': 'Hardware-adapted layers',
    'ADAPT': 'Iterative ansatz construction'
}

Quantum Chemistry on Quantum Computers

  • Hamiltonian mapping: Jordan-Wigner, Bravyi-Kitaev
  • State preparation: Adiabatic, variational
  • Measurement reduction: Grouping techniques
  • Error mitigation: ZS, PEC, TMR

Applications

  • Ground state energy
  • Excited states
  • Molecular dynamics
  • Reaction rates
  • Excited states
  • Catalyst design

Available Frameworks

  • Qiskit Nature
  • Cirq
  • PennyLane
  • Amazon Braket
  • IBM Quantum
Install via CLI
npx skills add https://github.com/ffsshhttiikk/opencode-agents-skills --skill quantum-computational
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