Black Hole Information Paradox
Analyzed domain adaptation techniques for sim-to-real transfer with extreme class imbalance.
Highlights
- Simulated black-hole-like quantum scrambling using randomized unitary circuits (layers of CNOT/H/controlled-phase) to model how infalling quantum states get rapidly mixed.
- Implemented teleportation-based information retrieval inspired by the Yoshida–Yao protocol, evaluating recovery by measuring state fidelity between original and reconstructed qubits.
- Developed a hybrid quantum–classical optimization loop (VQCs in PennyLane/Qiskit + optimizers like Adam/RMSprop) to maximize retrieval fidelity, including scaling + noise studies (4–5 → 10+ qubits) with mitigation experiments.
Demo
Next: embed a Hugging Face Space here (or custom inference UI).