ffsshhttiikk
ffsshhttiikk/opencode-agents-skills
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基于 SOC 职业分类
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| name | quantum-computational |
| description | Quantum computing for computational chemistry |
| license | MIT |
| compatibility | opencode |
| metadata | {"audience":"quantum chemists, computational scientists, researchers","category":"chemistry"} |
Qubits: |0⟩, |1⟩, or superposition Quantum Gates: Hadamard, CNOT, Pauli, rotation Quantum Circuits: Sequence of gates
# 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'
}