205 lines
7.0 KiB
JSON
205 lines
7.0 KiB
JSON
{
|
|
"title": "Tutorials",
|
|
"collapsed": true,
|
|
"children": [
|
|
{
|
|
"title": "Overview",
|
|
"url": "/docs/tutorials",
|
|
"useDivider": true,
|
|
"platform": "cloud"
|
|
},
|
|
{
|
|
"title": "Explore workflows toward advantage",
|
|
"collapsible": false,
|
|
"children": [
|
|
{
|
|
"title": "Verifiable sampling algorithms",
|
|
"children": [
|
|
{
|
|
"title": "Sample-based quantum diagonalization of a chemistry Hamiltonian",
|
|
"url": "/docs/tutorials/sample-based-quantum-diagonalization",
|
|
"platform": "cloud"
|
|
},
|
|
{
|
|
"title": "Compute dissociation curves for strong coupling systems with QunaSys QSCI",
|
|
"url": "/docs/tutorials/compute-dissociation-curves-for-strong-coupling-systems-with-quna-sys-qsci",
|
|
"platform": "cloud"
|
|
},
|
|
{
|
|
"title": "Quantum approximate optimization algorithm",
|
|
"url": "/docs/tutorials/quantum-approximate-optimization-algorithm",
|
|
"platform": "cloud"
|
|
},
|
|
{
|
|
"title": "Advanced techniques for QAOA",
|
|
"url": "/docs/tutorials/advanced-techniques-for-qaoa",
|
|
"platform": "cloud"
|
|
},
|
|
{
|
|
"title": "Pauli Correlation Encoding to reduce Maxcut requirements",
|
|
"url": "/docs/tutorials/pauli-correlation-encoding-for-qaoa",
|
|
"platform": "cloud"
|
|
},
|
|
{
|
|
"title": "Higher-order binary optimization with Q-CTRL's Optimization Solver",
|
|
"url": "/docs/tutorials/solve-higher-order-binary-optimization-problems-with-q-ctrls-optimization-solver",
|
|
"platform": "cloud"
|
|
}
|
|
]
|
|
},
|
|
{
|
|
"title": "Observable estimation",
|
|
"children": [
|
|
{
|
|
"title": "Krylov quantum diagonalization of lattice Hamiltonians",
|
|
"url": "/docs/tutorials/krylov-quantum-diagonalization",
|
|
"platform": "cloud"
|
|
},
|
|
{
|
|
"title": "Nishimori phase transition",
|
|
"url": "/docs/tutorials/nishimori-phase-transition",
|
|
"platform": "cloud"
|
|
},
|
|
{
|
|
"title": "Dissociation PES curves with Qunova HiVQE",
|
|
"url": "/docs/tutorials/qunova-hivqe",
|
|
"platform": "cloud"
|
|
},
|
|
{
|
|
"title": "Variational quantum eigensolver",
|
|
"url": "/docs/tutorials/variational-quantum-eigensolver",
|
|
"platform": "cloud"
|
|
},
|
|
{
|
|
"title": "Ground-state energy estimation of the Heisenberg chain with VQE",
|
|
"url": "/docs/tutorials/spin-chain-vqe",
|
|
"platform": "cloud"
|
|
},
|
|
{
|
|
"title": "Quantum kernel training",
|
|
"url": "/docs/tutorials/quantum-kernel-training",
|
|
"platform": "cloud"
|
|
},
|
|
{
|
|
"title": "CHSH inequality",
|
|
"url": "/docs/tutorials/chsh-inequality",
|
|
"platform": "cloud"
|
|
}
|
|
]
|
|
},
|
|
{
|
|
"title": "Fault-tolerant algorithms",
|
|
"children": [
|
|
{
|
|
"title": "Grover's algorithm",
|
|
"url": "/docs/tutorials/grovers-algorithm",
|
|
"platform": "cloud"
|
|
}
|
|
]
|
|
}
|
|
]
|
|
},
|
|
{
|
|
"title": "Leverage Qiskit capabilities",
|
|
"collapsible": false,
|
|
"children": [
|
|
{
|
|
"title": "Workload optimization",
|
|
"children": [
|
|
{
|
|
"title": "Qiskit AI-powered transpiler service introduction",
|
|
"url": "/docs/tutorials/ai-transpiler-introduction",
|
|
"platform": "cloud"
|
|
},
|
|
{
|
|
"title": "Transpilation optimizations with SABRE",
|
|
"url": "/docs/tutorials/transpilation-optimizations-with-sabre",
|
|
"platform": "cloud"
|
|
},
|
|
{
|
|
"title": "Compare transpiler settings",
|
|
"url": "/docs/tutorials/circuit-transpilation-settings",
|
|
"platform": "cloud"
|
|
},
|
|
{
|
|
"title": "Long-range entanglement with dynamic circuits",
|
|
"url": "/docs/tutorials/long-range-entanglement",
|
|
"platform": "cloud"
|
|
}
|
|
]
|
|
},
|
|
{
|
|
"title": "Addons",
|
|
"children": [
|
|
{
|
|
"title": "Approximate quantum compilation for time evolution circuits",
|
|
"url": "/docs/tutorials/approximate-quantum-compilation-for-time-evolution",
|
|
"platform": "cloud"
|
|
},
|
|
{
|
|
"title": "Operator backpropagation (OBP) for estimation of expectation values",
|
|
"url": "/docs/tutorials/operator-back-propagation",
|
|
"platform": "cloud"
|
|
},
|
|
{
|
|
"title": "Wire cutting for expectation values estimation",
|
|
"url": "/docs/tutorials/wire-cutting",
|
|
"platform": "cloud"
|
|
},
|
|
{
|
|
"title": "Circuit cutting for periodic boundary conditions",
|
|
"url": "/docs/tutorials/periodic-boundary-conditions-with-circuit-cutting",
|
|
"platform": "cloud"
|
|
},
|
|
{
|
|
"title": "Circuit cutting for depth reduction",
|
|
"url": "/docs/tutorials/depth-reduction-with-circuit-cutting",
|
|
"platform": "cloud"
|
|
}
|
|
]
|
|
},
|
|
{
|
|
"title": "Error mitigation",
|
|
"children": [
|
|
{
|
|
"title": "Utility-scale error mitigation with probabilistic error amplification",
|
|
"url": "/docs/tutorials/probabilistic-error-amplification",
|
|
"platform": "cloud"
|
|
},
|
|
{
|
|
"title": "Combine error mitigation options with the Estimator primitive",
|
|
"url": "/docs/tutorials/combine-error-mitigation-techniques",
|
|
"platform": "cloud"
|
|
},
|
|
{
|
|
"title": "Error mitigation with the IBM Circuit function",
|
|
"url": "/docs/tutorials/error-mitigation-with-qiskit-functions",
|
|
"platform": "cloud"
|
|
},
|
|
{
|
|
"title": "Real-time benchmarking for qubit selection",
|
|
"url": "/docs/tutorials/real-time-benchmarking-for-qubit-selection",
|
|
"platform": "cloud"
|
|
}
|
|
]
|
|
},
|
|
{
|
|
"title": "Error detection",
|
|
"children": [
|
|
{
|
|
"title": "Repeat until success",
|
|
"url": "/docs/tutorials/repeat-until-success",
|
|
"platform": "cloud"
|
|
},
|
|
{
|
|
"title": "Repetition codes",
|
|
"url": "/docs/tutorials/repetition-codes",
|
|
"platform": "cloud"
|
|
}
|
|
]
|
|
}
|
|
]
|
|
}
|
|
]
|
|
}
|