10 citations · 10 across the 4 of their papers we have counts for
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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…
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…
Integrated Analysis of Performance and Resource of Large-Scale Quantum Computing
Yongsoo Hwang, Taewan Kim, Chungheon Baek +1
To see the feasibility of a large-scale quantum computing, it is required to accurately analyze the performance and the quantum resource. However, most of the analysis reported so…