arXiv subjects

Heewoo Kim

Publications and source records attributed to Heewoo Kim.

6 recordsLinked to original sources

arXiv2026

Photon shot-noise-limited Rydberg-EIT electrometry

Rydberg-atom electrometry is a core technique in the development of highly sensitive quantum electric-field sensors. Its sensitivity based on atom-photon interaction is typically limited by photon shot-noise (PSN) and spectral broadenings. Here, we experimentally demonstrate a near PSN-limited Rydberg electrometry from a 85Rb atomic vapor cell. By engineering atomic coherence through control of residual magnetic fields and laser frequency noise, we achieve the Rydberg electromagnetically induced transparency (EIT) with the narrow linewidth of 1.6 MHz, yielding an enhanced spectral slope for high-sensitivity Rydberg-EIT electrometry. Under optimized superheterodyne detection conditions, we obtain an electric-field sensitivity of 12.5(8) nV cm^-1 Hz^-1/2 at 37 GHz, in close agreement with the calculated PSN limit. These results provide direct experimental evidence of the high-sensitive quantum electrometry and establish a practical route toward quantum-noise-limited Rydberg electrometry.

physics.atom-ph↗

arXiv2026

Superradiance of entangled photon pairs from a high-density chip-scale Cs vapor cell

Superradiance is one of the most fundamental collective quantum phenomena in light-matter interactions and has been studied extensively since Dicke's seminal work. However, its practical implementation remains challenging because superradiant enhancement requires strict experiment conditions for strong collective coupling among emitters. Can superradiance emerge in a simple platform, such as an atomic vapor cell composed of thermally moving atoms? To address this question, we identify the key signatures of superradiance in a hot atomic ensemble and find a use case of superradiance using an atomic vapor cell. Here, the Photon-Pair SuperRadiance (PPSR) process in an atomic vapor cell provides a novel approach to generating superradiant quantum light from a practical atomic platform. We experimentally demonstrate a superradiant entangled photon-pair generation via PPSR process in a high-density, 1-mm-long chip-scale Cs vapor cell. The hot, dense atomic vapor cell allows the mean interatomic distance in the Doppler-broadened atomic ensemble to be reduced to 0.29 times the idler-photon wavelength, satisfying the condition for cooperative emission. The thin chip-scale geometry enables high atomic densities while mitigating the reabsorption of emitted photons and maintaining moderate optical depth. In this subwavelength regime, we clearly observe the temporal narrowing of the biphoton wavefunction from 0.60 ns to 0.17 ns due to a superradiant decay. This pronounced temporal compression provides strong evidence of collective superradiant emission in the chip-scale Cs vapor cell. Our PPSR source delivers a detected photon-pair rate exceeding 10^6 pairs/s while maintaining a high coincidence-to-accidental ratio of 280.

quant-ph↗

arXiv2025

Quantum interference between autonomous dissimilar quantum light sources for hybrid quantum networks

Hybrid quantum systems play a crucial role in advancing scalable and versatile quantum networks as they combine the strengths of different quantum platforms. An important challenge for the development of hybrid quantum networks lies in interfacing heterogeneous quantum nodes and distributing entanglement among them. Single photons emitted from these dissimilar quantum nodes typically show distinct spectral and temporal properties. Therefore, they necessitate spectral filtering and temporal synchronization, which introduce significant photon losses and require additional resources. In this work, we successfully generate indistinguishable photons from two distinct quantum systems of a warm atomic ensemble and a solid-state quantum dot. Remarkably, quantum interference between dissimilar sources is achieved without additional spectral filtering and time synchronization, which enables autonomous quantum nodes for a hybrid quantum network. 133Cs atomic ensemble can efficiently generate heralded single photons at the wavelength of 917 nm of the 6P_(3/2)-6D_(5/2) transition, while the single photons emitted from an InAs/GaAs quantum dot can be tuned to match the 133Cs transition wavelength. Our dense warm atomic ensemble and cavity-coupled quantum dot can efficiently generate bright and resonant single photons at detection rates approaching MHz, respectively. More importantly, these single photons exhibit inherent spectral similarities not only in the wavelength but also in the spectral linewidth, achieving a high spectral overlap of 0.92. Such intrinsic compatibility between dissimilar quantum sources is essential to leverage the advantages of different quantum platforms, paving the way toward a large-scale and functional hybrid quantum network.

quant-ph↗

arXiv2025

PrediPrune: Reducing Verification Overhead in Souper with Machine Learning Driven Pruning

Souper is a powerful enumerative superoptimizer that enhances the runtime performance of programs by optimizing LLVM intermediate representation (IR) code. However, its verification process, which relies on a computationally expensive SMT solver to validate optimization candidates, must explore a large search space. This large search space makes the verification process particularly expensive, increasing the burden to incorporate Souper into compilation tools. We propose PrediPrune, a stochastic candidate pruning strategy that effectively reduces the number of invalid candidates passed to the SMT solver. By utilizing machine learning techniques to predict the validity of candidates based on features extracted from the code, PrediPrune prunes unlikely candidates early, decreasing the verification workload. When combined with the state-of-the-art approach (Dataflow), PrediPrune decreases compilation time by 51% compared to the Baseline and by 12% compared to using only Dataflow, emphasizing the effectiveness of the combined approach that integrates a purely ML-based method (PrediPrune) with a purely non-ML based (Dataflow) method. Additionally, PrediPrune offers a flexible interface to trade-off compilation time and optimization opportunities, allowing end users to adjust the balance according to their needs.

cs.ET↗

arXiv2025

NMP-PaK: Near-Memory Processing Acceleration of Scalable De Novo Genome Assembly

De novo assembly enables investigations of unknown genomes, paving the way for personalized medicine and disease management. However, it faces immense computational challenges arising from the excessive data volumes and algorithmic complexity. While state-of-the-art de novo assemblers utilize distributed systems for extreme-scale genome assembly, they demand substantial computational and memory resources. They also fail to address the inherent challenges of de novo assembly, including a large memory footprint, memory-bound behavior, and irregular data patterns stemming from complex, interdependent data structures. Given these challenges, de novo assembly merits a custom hardware solution, though existing approaches have not fully addressed the limitations. We propose NMP-PaK, a hardware-software co-design that accelerates scalable de novo genome assembly through near-memory processing (NMP). Our channel-level NMP architecture addresses memory bottlenecks while providing sufficient scratchpad space for processing elements. Customized processing elements maximize parallelism while efficiently handling large data structures that are both dynamic and interdependent. Software optimizations include customized batch processing to reduce the memory footprint and hybrid CPU-NMP processing to address hardware underutilization caused by irregular data patterns. NMP-PaK conducts the same genome assembly while incurring a 14X smaller memory footprint compared to the state-of-the-art de novo assembly. Moreover, NMP-PaK delivers a 16X performance improvement over the CPU baseline, with a 2.4X reduction in memory operations. Consequently, NMP-PaK achieves 8.3X greater throughput than state-of-the-art de novo assembly under the same resource constraints, showcasing its superior computational efficiency.

cs.AR↗

arXiv2024

Collective biphoton temporal waveform of photon-pair generated from Doppler-broadened atomic ensemble

Photonic quantum states generated from atomic ensembles will play important roles in future quantum networks and long-distance quantum communication because their advantages, such as universal identity and narrow spectral bandwidth, are essential for quantum nodes and quantum repeaters based on atomic ensembles. In this study of the biphoton temporal waveform (BTW) of the photon pairs generated from a cascade-type two-photon-transition, we report the collectively coherent superposition of biphoton wavefunction emitted from different velocity classes in a Doppler-broadened cascade-type atomic ensemble. We experimentally demonstrate that the three times difference of temporal width of both BTWs varies dependent on the wavelengths of the signal and idler photons from both 6S_{1/2}-6P_{3/2}-6D_{5/2} and -8S_{1/2} transitions of Cs, corresponding to the idler and signal wavelengths of 852 nm-917 nm and 852 nm-795 nm, respectively. Our results help understand the characteristics of biphoton sources from a warm atomic ensemble and can be applied to long-distance quantum networks and practical quantum repeaters based on atom-photon interactions.

quant-ph↗