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Quantum simulation workflows
Map a physical Hamiltonian to qubits, prepare a state, estimate observables, and combine results with classical chemistry or materials software. Error budgets and basis-set choices determine value.
Useful simulation is an end-to-end scientific workflow, not just a circuit runtime.
Optimization and finance workflows
Formulate the objective and constraints, encode them, execute the quantum subroutine, decode candidates, and compare with modern heuristics or exact solvers. Portfolio and risk applications also face noisy inputs and changing markets.
The classical baseline must include advanced heuristics, not a naive brute-force comparison.
Quantum sensing as a neighboring field
Quantum sensors exploit coherence, squeezing, or entanglement to improve precision. Their commercialization path differs from gate-based computing and may not require large error-corrected processors.
Do not combine computing, sensing, and networking into one undifferentiated market forecast.
Applied activity
Complete a simulator or analysis exercise: reproduce the lesson's central example, record assumptions and outputs, and explain one source of error or limitation.
Read the full lesson text
1. Quantum simulation workflows
Map a physical Hamiltonian to qubits, prepare a state, estimate observables, and combine results with classical chemistry or materials software. Error budgets and basis-set choices determine value.
Useful simulation is an end-to-end scientific workflow, not just a circuit runtime.
2. Optimization and finance workflows
Formulate the objective and constraints, encode them, execute the quantum subroutine, decode candidates, and compare with modern heuristics or exact solvers. Portfolio and risk applications also face noisy inputs and changing markets.
The classical baseline must include advanced heuristics, not a naive brute-force comparison.
3. Quantum sensing as a neighboring field
Quantum sensors exploit coherence, squeezing, or entanglement to improve precision. Their commercialization path differs from gate-based computing and may not require large error-corrected processors.
Do not combine computing, sensing, and networking into one undifferentiated market forecast.
4. Applied activity
Complete a simulator or analysis exercise: reproduce the lesson's central example, record assumptions and outputs, and explain one source of error or limitation.
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