9 papers · 1 filter
First-Quantized Relativistic Quantum Simulation with Periodic and Dirichlet Boundary Conditions
Jeongho Bang, Timothy P. Spiller, Kyunghyun Baek +2
In this work, we present a methodology for first-quantized relativistic quantum simulation on one-dimensional finite domains under the two boundary conditions most commonly used in…
Finite Imaginary-Time Evolution for Polynomial Unconstrained Binary Optimization
Jaehee Kim, Juhyeon Kim, Gwonhak Lee +4
Imaginary-time evolution is a standard primitive for ground-state preparation but is nonunitary, precluding direct quantum implementation. We develop Finite Imaginary-Time Evolutio…
Universality cost of non-Gaussian enhancement in continuous-variable quantum teleportation: A fidelity--deviation trade-off
Kyoungho Cho, Bongjune Kim, Jeongho Bang
Continuous-variable (CV) quantum teleportation is usually benchmarked by average fidelity, but when the teleportation is repeatedly used within optical networks or measurement-base…
Single-shot measurement learning as a self-certifying estimator for quantum-enhanced sensing
Jeongho Bang
Single-shot measurement learning (SSML) learns a compensation unitary from a one-bit success/failure record and halts after a prescribed run of consecutive successes. We recast SSM…
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 Amplitude-Amplification Eigensolver: A State-Learning-Assisted Approach beyond Energy-Gradient-Based Heuristics
Kyunghyun Baek, Seungjin Lee, Joonsuk Huh +4
Ground-state estimation lies at the heart of a broad range of quantum simulations. Most near-term approaches are cast as variational energy minimization and thus inherit the challe…