QAOA · 4 QUBITS
Turn grid choices into quantum interference.
QGrid Chirp encodes four energy resources as qubits, phases costly schedules, and amplifies cleaner combinations through a mixer circuit.
QGrid ChirpQuantum renewable dispatch studio
QUANTUM · SUSTAINABILITY
Grid mission control
Balance clean power, reliability and carbon with a four-qubit QAOA simulation.
—Demand coverage
—kg CO₂/h
Solar potential42 MW
Wind potential34 MW
Target demand75 MW
Search space16 states
CHI(R)PS & QREATIVITY
Noise becomes a signal, not just an error.
The noise dial blends ideal measurement probabilities with a uniform channel. The changing “chirp” bars make hardware uncertainty visible while the optimizer tracks whether the selected dispatch remains useful.
INPUT MODEL
Grid scenario
BEST MEASURED STATE
—— — — —
Power supplied—
Coverage—
Carbon—
Objective—
Run the simulation to measure an optimized dispatch state.
MEASUREMENT DISTRIBUTION
1024 shotsTop quantum states
Two-layer variational circuit
Hadamard gates prepare all 16 schedules. Two alternating cost and RX mixer layers shape interference before measurement.
H Superpositionγ Cost phaseβ Mixer◖ Measure
γ₁, γ₂ · cost angles—
β₁, β₂ · mixer angles—
Expected normalized cost—
A deterministic seeded search selects four p=2 parameters. The downloadable Python implementation uses the same cost Hamiltonian with Qiskit.
Download Qiskit source ↓Encode dispatch
Each qubit controls one resource: solar, wind, hydro or battery. A measured 1 means the source is dispatched.
Score every state
The objective combines unmet demand, oversupply, carbon emissions and operational cost.
Interfere & measure
QAOA phases expensive states and mixes amplitudes so useful schedules become more probable.
Stress with noise
A depolarizing channel reveals whether the dispatch remains stable under imperfect quantum hardware.
OBJECTIVE HAMILTONIAN
C(z) = λ₁(D − P(z))² + λ₂CO₂(z) + λ₃Cost(z)
The squared balance term protects reliability. Adjustable carbon priority changes the diagonal cost landscape without hiding the trade-off.
TRANSPARENCY
EXACT 16-STATE AUDITClassical cross-check
Because this educational model has four qubits, QGrid Chirp also evaluates every state classically. This validates the quantum result and prevents exaggerated advantage claims.
Run the optimizer to compare results.
Submission checklist
Clean power, tuned by quantum chirps.
QGrid Chirp turns renewable dispatch into a four-qubit cost landscape. Its QAOA simulator amplifies reliable, lower-carbon schedules while an interactive noise channel reveals how uncertainty changes the answer. Every result is classically audited, making the prototype creative, reproducible and honest.
HARD DEADLINE
Open Devpost ↗11 Nov 2026 · 10:00 PM IST
11:30 PM Bangladesh time (GMT+6)