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quant-ph2024
Test-Time Training with Quantum Auto-Encoder: From Distribution Shift to Noisy Quantum Circuits
Damien Jian, Yu-Chao Huang, Hsi-Sheng Goan
In this paper, we propose test-time training with the quantum auto-encoder (QTTT). QTTT adapts to (1) data distribution shifts between training and testing data and (2) quantum cir…
quant-ph2024
L2O-: Learning to Optimize Parameterized Quantum Circuits with Fubini-Study Metric Tensor
Yu-Chao Huang, Hsi-Sheng Goan
Before the advent of fault-tolerant quantum computers, variational quantum algorithms (VQAs) play a crucial role in noisy intermediate-scale quantum (NISQ) machines. Conventionally…