Article
Computer Science, Information Systems
Yong Kwon, Byung-Soo Choi
Summary: This article discusses the principles and development needs of optical quantum computers and proposes a software framework for supporting universal programming based on linear optical quantum computing.
Article
Quantum Science & Technology
Chen Ding, Xiao-Yue Xu, Yun-Fei Niu, Shuo Zhang, He-Liang Huang, Wan-Su Bao
Summary: To reduce labeling and computational costs in quantum machine learning, the active learning (AL) strategy is used to select a subset of the dataset for training while maintaining performance. Two AL-inspired variational quantum classifiers were designed and implemented to investigate the potential applications and effectiveness of AL in quantum machine learning. The results demonstrate the significant advantage of AL in saving labeling efforts and computational resources.
QUANTUM SCIENCE AND TECHNOLOGY
(2023)
Article
Quantum Science & Technology
Manish Kumar Mehta, Joseph Thomas Andrews, Pratima Sen
Summary: In this paper, a novel method is proposed to overcome the limitations of exciton and biexciton states only appearing at low temperatures, as well as the complexity of using lasers with different polarization states for CNOT operations. By utilizing ultrafast magnetic pulse CNOT gate operation in Mn-doped InSb quantum dots at room temperature, with only a circularly polarized laser pulse, the proposed method shows a significantly large fidelity calculation for CNOT gate.
QUANTUM INFORMATION PROCESSING
(2021)
Article
Mathematics
Alberto Manzano, Daniele Musso, Alvaro Leitao, Andres Gomez, Carlos Vazquez, Gustavo Ordonez, Maria R. Nogueiras
Summary: The framework for designing quantum algorithms relies on quantum matrix and three quasi-independent modules. Loading and read-out modules are briefly discussed, while more in-depth analysis is done on the arithmetic module. Examples regarding manipulation of generic oracles are provided, hinting at potential applications.
Article
Optics
Jiafu Chen, Linwei Tang, Zebin Huang, Wenjie Xiong, Junmin Liu, Peipei Wang, Ying Li, Dianyuan Fan, Shuqing Chen
Summary: In this study, a meshed Mach-Zehnder interferometer (MZI) array is introduced to provide a complex linear-modulation solution for optical logic operations. The optimization of the phase-shift parameters of the Optical Interference Unit (OIU) using a gradient descent algorithm enables the implementation of non-unitary logic operations. Simulation results demonstrate that seven basic logic operations can be achieved using an OIU with three MZIs, and complex logic operations and multi-input logic operations can be achieved by cascading basic components and increasing the size of the OIU. These linear-optical logic operations are critical for device fabrication and system integration due to their low power consumption.
OPTICS AND LASER TECHNOLOGY
(2023)
Article
Quantum Science & Technology
Guangchong Hu, Rose L. Ahlefeldt, Gabriele G. de Boo, Alexey Lyasota, Brett C. Johnson, Jeffrey C. McCallum, Matthew J. Sellars, Chunming Yin, Sven Rogge
Summary: This study examines the interactions of single pairs of rare earth ions, identifying high-resolution interactions and unusual optical interactions. By characterizing the Er3+ pair sites using optical Zeeman spectroscopy, the researchers observe a large Ising-like spin interaction and a unique magnetic-dipole/electric-dipole optical interaction, indicating potential applications for quantum processing with field-tunable rare earth pairs.
QUANTUM SCIENCE AND TECHNOLOGY
(2022)
Article
Physics, Multidisciplinary
Le Ju, Ming Yang, Peng Xue
Summary: The paper discusses the potential of measurement-based quantum computation in an optical setup for implementing large-scale quantum computation. It focuses on the generation of large-scale cluster state as a platform for measurement-based quantum computation and proposes the preparation protocol for N-photon cluster state as a generalization to achieve more complex quantum circuits. The feasibility of the proposal is highlighted for experimental implementation.
Article
Chemistry, Multidisciplinary
Ravindra Singh Bisht, Jaeseoung Park, Haoming Yu, Chen Wu, Nikhil Tilak, Sylvie Rangan, Tae J. Park, Yifan Yuan, Sarmistha Das, Uday Goteti, Hee Taek Yi, Hussein Hijazi, Abdullah Al-Mahboob, Jerzy T. Sadowski, Hua Zhou, Seongshik Oh, Eva Y. Andrei, Monica T. Allen, Duygu Kuzum, Alex Frano, Robert C. Dynes, Shriram Ramanathan
Summary: A single bias can tune the coupling strength between neighboring cells in a network of hydrogen-doped perovskite nickelate devices, suggesting potential use for neuromorphic learning and hardware implementation of artificial intelligence. Graded proton distribution in the inhomogeneous medium of the hydrogen-doped nickelate film enables this behavior, as shown by electrical transport measurements and spatially resolved diffraction and nanoprobe X-ray and scanning microwave impedance spectroscopic studies. Signal integration is further demonstrated through the coupling of various junctions.
Article
Chemistry, Multidisciplinary
Quanbo Jiang, Prithu Roy, Jean-Benoit Claude, Jerome Wenger
Summary: In this research, plasmonic nanoantennas were used to trap single colloidal quantum dots and enhance their photoluminescence without the need for further processing, achieving precise positioning of the quantum emitter at the nanoantenna hotspot. The dedicated nanoantenna design exhibited high trap stiffness for quantum dot trapping and relatively low trapping power, resulting in significantly improved emission characteristics of the single quantum dot.
Article
Computer Science, Information Systems
Jeonghoon Park, Youngjin Seo, Jun Heo
Summary: This article proposes a method to solve linear systems more efficiently using quantum computing, and applies it to linear multiple-input multiple-output (MIMO) detections. Compared to conventional methods, this approach does not require additional post-procedures, can iteratively use a quantum linear system algorithm (QLSA), and has a smaller increase in runtime for large-scale systems.
Article
Quantum Science & Technology
Wen-Qiang Liu, Hai-Rui Wei
Summary: This article designs two compact quantum circuits for implementing post-selected controlled-phase-flip (CPF) gate and Toffoli gate with linear optics, assisted by one and two single photons, respectively. The maximum success probability of 1/4 for linear optical CPF gate is achieved by using an ancillary single photon instead of an entangled photon pair or two single photons. Remarkably, the presented Toffoli gate is accomplished with a current maximum success probability of 1/30 and unity fidelity in principle, without using additional entangled photon pairs and the standard decomposition-based approach. Linear optical implementations of the presented two universal gates are feasible and economical under current technology and provide a potential application in large-scale optical quantum computing.
ADVANCED QUANTUM TECHNOLOGIES
(2023)
Article
Computer Science, Artificial Intelligence
Lingfeng Liu, Dong Ni, Liankui Dai
Summary: This work proposes an autoencoder structured hybrid optical-electrical neural network method to address the issue of extensive data flow in real-time anomaly detection in hyperspectral imaging. The method utilizes a digital micromirror device as the core optical processor to extract low-level features and employs weight binarization and a conditional subnetwork for optical computation. Case studies have shown that the proposed method significantly reduces sampling time without compromising detection accuracy.
IEEE INTELLIGENT SYSTEMS
(2023)
Article
Chemistry, Multidisciplinary
Yuhang Li, Jingxi Li, Yifan Zhao, Tianyi Gan, Jingtian Hu, Mona Jarrahi, Aydogan Ozcan
Summary: A universal polarization transformer is demonstrated that can synthesize various complex-valued polarization scattering matrices, providing a solution for controlled synthesis of optical fields with nonuniform polarization distributions.
ADVANCED MATERIALS
(2023)
Article
Nanoscience & Nanotechnology
Chao Chen, Wei Qi, Yu Yu, Xinliang Zhang
Summary: Analog optical computing has gained attention in recent years due to its ultra-high speed, ultra-low power consumption, and parallel processing capabilities. Researchers have designed and fabricated an on-chip optical integrator that can integrate electric fields in the spatial domain and successfully demonstrated integrating optical signals into desired distributions. The similarity coefficients between theoretical expectations and simulated/experimental results are relatively high.
Article
Physics, Multidisciplinary
Yalin Basay, Serdar Kocaman
Summary: An integrated programmable controlled-phase gate is proposed for introducing arbitrary phase difference in quantum information processing. It allows versatile operations of current integrated optical circuits and opens up new applications.
Article
Optics
S. Sempere-Llagostera, G. S. Thekkadath, R. B. Patel, W. S. Kolthammer, I. A. Walmsley
Summary: In this study, we use the photon-number resolving capabilities of commercial superconducting nanowire single-photon detectors to improve the quality of single photons generated through nonlinear processes. Our results demonstrate the feasibility of enhancing the quality of heralded single-photon sources using readily available technology.
Article
Optics
Chong Sheng, Yao Wang, Yijun Chang, Huiming Wang, Yongheng Lu, Yingyue Yang, Shining Zhu, Xianmin Jin, Hui Liu
Summary: Topology has been widely used in various branches of physics, and topological defects in cosmology can be simulated to achieve bound vortex light on optical chips.
LIGHT-SCIENCE & APPLICATIONS
(2022)
Article
Optics
Chao-Ni Zhang, Hang Li, Jian-Peng Dou, Feng Lu, Hong-Zhe Yang, Xiao-Ling Pang, Xian-Min Jin
Summary: In this study, Hong-Ou-Mandel interference between single photons from two independent room-temperature quantum memories was successfully demonstrated. The interference rate was enhanced by increasing the photon rate and coordinating the quantum memories. The visibility of quantum interference reached 75.0%, surpassing the classical limit of 50%. These results are significant for the realization of large-scale quantum networks at ambient conditions.
PHOTONICS RESEARCH
(2022)
Article
Physics, Multidisciplinary
Ze-Kun Jiang, Ruo-Jing Ren, Yi-Jun Chang, Wen-Hao Zhou, Yong-Heng Lu, Xiao-Wei Wang, Li Wang, Chang -Shun Wang, Alexander S. Solntsev, Xian-Min Jin
Summary: We report the observation of dynamic localization for quantum-correlated biphotons, including both the generation and propagation aspects. Our experimental results demonstrate the effectiveness of various dynamic modulation parameters in protecting quantum states without introducing complex topologies.
PHYSICAL REVIEW LETTERS
(2022)
Article
Physics, Applied
Wen-Hao Zhou, Jun Gao, Zhi-Qiang Jiao, Xiao-Wei Wang, Ruo-Jing Ren, Xiao-Ling Pang, Lu-Feng Qiao, Chao-Ni Zhang, Tian-Huai Yang, Xian-Min Jin
Summary: This study introduces a timestamp boson sampling scheme that effectively reduces execution time, accelerating the sampling process and can be widely applied in multiphoton experiments at low-sampling rate.
APPLIED PHYSICS REVIEWS
(2022)
Article
Nanoscience & Nanotechnology
Zhen Feng, Bing-Hong Wu, Hao Tang, Lu-Feng Qiao, Xiao-Wei Wang, Xiao-Yun Xu, Zhi-Qiang Jiao, Jun Gao, Xian-Min Jin
Summary: This article introduces the mapping of the percolation model onto a photonic chip using femtosecond laser direct writing techniques, and demonstrates the existence of quantum percolation through experiments. The results show that in the laser-written photonic lattices, the quantum percolation threshold is larger than the classical counterpart, and a transition from ballistic to diffusive propagation is observed. These findings deepen our understanding of the relationship among materials, quantum transport, geometric quenching, disorder, and localization, and inspire applications for quantum technologies.
Article
Optics
Shi-Bao Wu, Zhan-Ming LI, Jun Gao, Heng Zhou, Chang-Shun Wang, Xian-Min Jin
Summary: Quantum correlation, an intrinsic property of quantum mechanics, has been widely used in testing physical principles and exploring quantum-enhanced technologies. This study demonstrates the classification of quantum correlation using deep learning in a quantum imaging scheme, addressing the challenge of high levels of loss and noise.
Article
Nanoscience & Nanotechnology
Yong-Heng Lu, Yi-Jun Chang, Yao Wang, Ying-Yue Yang, Tian-Huai Yang, Wen-Hao Zhou, Xiao-Wei Wang, Jun Gao, Hao Tang, Hang Zheng, Xian-Min Jin
Summary: Quantum transport is crucial for understanding the evolution of particle states in nature. This study proposes and experimentally demonstrates a novel multiregister transport with controllable interaction on a photonic chip, achieving effective photon transfer in the same subspace without crosstalk and preserving quantum correlation of photon states.
Article
Physics, Multidisciplinary
Xiao-Wei Wang, Wen-Hao Zhou, Yu-Xuan Fu, Jun Gao, Yong-Heng Lu, Yi-Jun Chang, Lu-Feng Qiao, Ruo-Jing Ren, Ze-Kun Jiang, Zhi-Qiang Jiao, Georgios M. Nikolopoulos, Xian-Min Jin
Summary: Through experiments, we demonstrate that the implementation of a cryptographic one-way function based on coarse-grained boson sampling in a photonic boson-sampling machine requires a moderate sample size, much smaller than predicted by the Chernoff bound. Nonboson samplers cannot generate the same output for numbers of photons n >= 3 and bins d similar to poly(m, n). Our study is the first experimental exploration of the potential applications of boson sampling in cryptography and paves the way for further research in this direction.
PHYSICAL REVIEW LETTERS
(2023)
Article
Nanoscience & Nanotechnology
Xiao-Yun Xu, Xian-Min Jin
Summary: With the decline of Moore's law, new computing architectures are emerging to address the challenges of intractable computation and artificial intelligence. Photonic computing, which harnesses the unique properties of photons, such as high speed and robustness, is a promising candidate. Integrated photonics has also made advancements in scalability and stability. Additionally, the incorporation of quantum technology could revolutionize photonic computing by leveraging single photons. This perspective highlights the advances and potential of integrated photonic platforms in constructing non-von Neumann computing architectures and discusses the challenges and opportunities they present in solving complex problems beyond traditional computers and in machine learning.
Article
Physics, Applied
S. E. Thomas, S. Sagona-Stophel, Z. Schofield, I. A. Walmsley, P. M. Ledingham
Summary: This paper reports a telecommunications wavelength- and bandwidth-compatible quantum memory, which enables efficient storage and on-demand retrieval of quantum optical states. It is an essential technology for future terrestrial-based quantum optical networking. The memory demonstrates a total internal efficiency of 20.90(1)% and a Doppler-limited storage time of 1.10(2) ns using the Off-Resonant Cascaded Absorption protocol in hot 87Rb vapor.
PHYSICAL REVIEW APPLIED
(2023)
Article
Multidisciplinary Sciences
F. H. B. Somhorst, R. van der Meer, M. Correa Anguita, R. Schadow, H. J. Snijders, M. de Goede, B. Kassenberg, P. Venderbosch, C. Taballione, J. P. Epping, H. H. van den Vlekkert, J. Timmerhuis, J. F. F. Bulmer, J. Lugani, I. A. Walmsley, P. W. H. Pinkse, J. Eisert, N. Walk, J. J. Renema
Summary: This study demonstrates that in a unitarily evolving system, single-mode measurements can converge to a thermal state using photons in an integrated optical interferometer. The resolution to the paradox between unitary evolution and the second law of thermodynamics is the recognition that the global unitary evolution of a multi-partite quantum state causes local subsystems to evolve towards maximum-entropy states. The experiment utilizes a programmable integrated quantum photonic processor to manipulate quantum states and shows the potential of photonic devices for simulating non-Gaussian states.
NATURE COMMUNICATIONS
(2023)
Article
Quantum Science & Technology
Xiao-Ling Pang, Chao-Ni Zhang, Jian-Peng Dou, Hang Li, Tian-Huai Yang, Xian-Min Jin
Summary: This study reports the creation of quantum entanglement between two different room-temperature quantum memories, which is significant for the fundamental research of quantum mechanics and the applications of quantum information technologies.
NPJ QUANTUM INFORMATION
(2023)
Proceedings Paper
Instruments & Instrumentation
Georg Enzian, Lars Freisem, John J. Price, Andreas O. Svela, Jack Clarke, Magdalena Szczykulska, Joshua Nunn, Ian Walmsley, Jonathan Silver, Leonardo Del Bino, Shuangyou Zhang, Pascal Del'Haye, Biveen Shajilal, Jiri Janousek, Ben C. Buchler, Ping Koy Lam, Michael R. Vanner
Summary: Research on backward Brillouin scattering in whispering-gallery-mode micro-resonators provides a promising avenue for both classical and quantum optomechanics applications. Our team, in collaboration with others, is utilizing this regime to prepare non-Gaussian motional states of the acoustic field. Recent experimental results include Brillouin optomechanical strong coupling, manipulation of thermal states by adding or subtracting single phonons, and phase-space tomography of non-Gaussian states generated by subtracting single or multiple phonons.
OPTICAL AND QUANTUM SENSING AND PRECISION METROLOGY II
(2022)
Article
Quantum Science & Technology
G. S. Thekkadath, S. Sempere-Llagostera, B. A. Bell, R. B. Patel, M. S. Kim, I. A. Walmsley
Summary: This paper presents a GBS machine that achieves displacement by injecting a laser beam and a two-mode squeezed vacuum state. The study shows that the machine has the ability to reconstruct multimode Gaussian state and reduce computational complexity.
