Yunchao Liu
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| title | conference | date |
|---|---|---|
| Learning Shallow Quantum Circuits and Quantum States Prepared by Shallow Circuits in Polynomial Time | Near-Term Quantum Computers: Fault Tolerance + Benchmarking + Quantum Advantage + Quantum Algorithms | 2024-04-22 |
Gives polynomial time algorithms that (1) learn a constant‑depth circuit approximating an unknown lattice unitary U in small diamond distance from only random… | ||
| Complexity and Applications of Random Circuit Sampling | Quantum Industry Day 2022 | 2022-11-17 |
A polynomial-time classical algorithm is presented that, given M samples from a noisy random circuit sampling (RCS) experiment, produces M spoofed samples in… | ||
| Quantum Benchmarking | Quantum and Lattices Joint Reunion Workshop | 2022-06-13 |
Classifies exactly which parameters of gate noise are learnable for Clifford operations using a pattern transfer graph, shows a CNOT has 13 learnable, 2… | ||
| A Rigorous and Robust Quantum Speed-up in Supervised Machine Learning | Quantum Wave in Computing Reunion 2021 | 2021-07-15 |
Proves an end-to-end quantum speedup for supervised classification by designing a kernel that is classically hard but solvable by quantum kernel estimation… | ||
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