4 papers
Learning with Active Quantum Subspaces: Scalable Hybrid Advantage without Full Quantum Data-Encoding
Jeongho Bang, Wooyeong Song, Kyoungho Cho +2
We study whether quantum learning advantage can persist without fully embedding a large classical input into a highly superposed quantum state. To address this question, we introdu…
Sharpening Worst-Case Error Assessment for Fault-Tolerant Quantum Computing: Fidelity and Its Deviation
Kyoungho Cho, Ilkwon Sohn, Yongsoo Hwang +1
Gate fidelity -- an average fidelity over all possible input states -- is the workhorse metric for benchmarking quantum gates or circuits, yet fault-tolerant quantum computing ulti…
Quantum superposing algorithm for quantum encoding
Jaehee Kim, Taewan Kim, Kyunghyun Baek +3
Efficient encoding of classical data into quantum state -- currently referred to as quantum encoding -- holds crucial significance in quantum computation. For finite-size databases…
Resource-compact time-optimal quantum computation
Taewan Kim, Kyunghyun Baek, Yongsoo Hwang +1
Fault-tolerant quantum computation enables reliable quantum computation but incurs a significant overhead from both time and resource perspectives. To reduce computation time, Aust…