Search Results - "Bang, Jeongho"

Dynamic Concatenation of Quantum Error Correction in Integrated Quantum Computing Architecture by Sohn, Ilkwon, Bang, Jeongho, Heo, Jun

“…Resource overhead problem caused by concatenation in quantum error correction (QEC) is of significant importance for the realization of fault-tolerant quantum…”
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A quantum speedup in machine learning: finding an N-bit Boolean function for a classification by Yoo, Seokwon, Bang, Jeongho, Lee, Changhyoup, Lee, Jinhyoung

“…We compare quantum and classical machines designed for learning an N-bit Boolean function in order to address how a quantum system improves the machine…”
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Polynomial T-depth quantum solvability of noisy binary linear problem: from quantum-sample preparation to main computation by Song, Wooyeong, Lim, Youngrong, Jeong, Kabgyun, Lee, Jinhyoung, Park, Jung Jun, Kim, M S, Bang, Jeongho

“…Abstract The noisy binary linear problem (NBLP) is known as a computationally hard problem, and therefore, it offers primitives for post-quantum cryptography…”
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Average fidelity and fidelity deviation in noisy quantum teleportation by Song, Wooyeong, Ryu, Junghee, Baek, Kyunghyun, Bang, Jeongho

“…We analyze the average fidelity (say, F ) and the fidelity deviation (say, D ) in noisy-channel quantum teleportation. Here, F represents how well…”
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A strategy for quantum algorithm design assisted by machine learning by Bang, Jeongho, Ryu, Junghee, Yoo, Seokwon, Pawłowski, Marcin, Lee, Jinhyoung

“…We propose a method for quantum algorithm design assisted by machine learning. The method uses a quantum-classical hybrid simulator, where a 'quantum student'…”
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Interpreting variational quantum models with active paths in parameterized quantum circuits by Lee, Kyungmin, Jeon, Hyungjun, Lee, Dongkyu, Kim, Bongsang, Bang, Jeongho, Kim, Taehyun

“…Variational quantum machine learning (VQML) models based on parameterized quantum circuits (PQC) have been expected to offer a potential quantum advantage for…”
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Tangible reduction in learning sample complexity with large classical samples and small quantum system by Song, Wooyeong, Wieśniak, Marcin, Liu, Nana, Pawłowski, Marcin, Lee, Jinhyoung, Kim, Jaewan, Bang, Jeongho

“…Quantum computation requires large classical datasets to be embedded into quantum states in order to exploit quantum parallelism. However, this embedding…”
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Experimental Demonstration on Quantum Sensitivity to Available Information in Decision Making by Lee, Joong-Sung, Bang, Jeongho, Lee, Jinhyoung, Lee, Kwang-Geol

“…We present an experimental illustration on the quantum sensitivity of decision making machinery. In the decision making process, we consider the role of…”
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Quantum states generation and manipulation in a programmable silicon-photonic four-qubit system with high-fidelity and purity by Lee, Jong-Moo, Park, Jiho, Bang, Jeongho, Sohn, Young-Ik, Baldazzi, Alessio, Sanna, Matteo, Azzini, Stefano, Pavesi, Lorenzo

“…We present a programmable silicon photonic four-qubit integrated circuit for the generation and manipulation of diverse quantum states. The silicon photonic…”
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Quantum superposing algorithm for quantum encoding by Kim, Jaehee, Kim, Taewan, Baek, Kyunghyun, Hwang, Yongsoo, Huh, Joonsuk, Bang, Jeongho

“…Abstract Efficient encoding of classical data into quantum state—currently referred to as quantum encoding—holds crucial significance in quantum computation…”
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Quantum State Learning via Single-Shot Measurements by Lee, Sang Min, Park, Hee Su, Lee, Jinhyoung, Kim, Jaewan, Bang, Jeongho

“…A novel machine-learning algorithm based on single-shot measurements, named single-shot measurement learning, is demonstrated achieving the theoretical optimal…”
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A genetic-algorithm-based method to find unitary transformations for any desired quantum computation and application to a one-bit oracle decision problem by Bang, Jeongho, Yoo, Seokwon

“…We propose a genetic-algorithm-based method to find the unitary transformations for any desired quantum computation. We formulate a simple genetic algorithm by…”
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Quantum-mechanical machinery for rational decision-making in classical guessing game by Bang, Jeongho, Ryu, Junghee, Pawłowski, Marcin, Ham, Byoung S., Lee, Jinhyoung

“…In quantum game theory, one of the most intriguing and important questions is, “Is it possible to get quantum advantages without any modification of the…”
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Protocol for secure quantum machine learning at a distant place by Bang, Jeongho, Lee, Seung-Woo, Jeong, Hyunseok

“…The application of machine learning to quantum information processing has recently attracted keen interest, particularly for the optimization of control…”
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Two-particle indistinguishability and identification of boson and fermion species: a Fisher information approach by Lee, Su-Yong, Bang, Jeongho, Kim, Jaewan

“…We present a study on two-particle indistinguishability and particle species identification by introducing a Fisher information (FI) approach—in which two…”
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Genuinely high-dimensional nonlocality optimized by complementary measurements by Lim, James, Ryu, Junghee, Yoo, Seokwon, Lee, Changhyoup, Bang, Jeongho, Lee, Jinhyoung

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Quantifiable Simulation of Quantum Computation beyond Stochastic Ensemble Computation (Adv. Quantum Technol. 2/2018) by Bang, Jeongho, Ryu, Junghee, Lee, Chang‐Woo, Yee, Ki Hyuk, Lee, Jinhyoung, Son, Wonmin

“…A model of quantum computation (QC) is compared with a generalized classical computation model, named stochastic ensemble computation (SEnC), in article number…”
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Quantifiable Simulation of Quantum Computation beyond Stochastic Ensemble Computation by Bang, Jeongho, Ryu, Junghee, Lee, Chang‐Woo, Yee, Ki Hyuk, Lee, Jinhyoung, Son, Wonmin

“…In this study, a distinctive feature of quantum computation (QC) is characterized. To this end, a seemingly‐powerful classical computing model, called…”
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A quantum algorithm for obtaining the lowest eigenstate of a Hamiltonian assisted with an ancillary qubit system by Bang, Jeongho, Lee, Seung-Woo, Lee, Chang-Woo, Jeong, Hyunseok

“…We propose a quantum algorithm to obtain the lowest eigenstate of any Hamiltonian simulated by a quantum computer. The proposed algorithm begins with an…”
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A quantum heuristic algorithm for the traveling salesman problem by Bang, Jeongho, Ryu, Junghee, Lee, Changhyoup, Yoo, Seokwon, Lim, James, Lee, Jinhyoung

“…We propose a quantum heuristic algorithm to solve the traveling salesman problem by generalizing the Grover search. Sufficient conditions are derived to…”
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