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2024 Photonics North, PN 2024

作者： Pasharavesh, Abdolreza Bajcsy, Michal Institute for Quantum Computing University of Waterloo WaterlooON Canada Electrical and Computer Engineering Department University of Waterloo WaterlooON Canada

ISBN: (纸本)9798350366365

We present a photon subtraction scheme designed to deterministically extract single photons from multiphoton states within arbitrary input pulses of light using single-photon Raman interaction (SPRINT) [1]. The proposed system comprises two cascaded Lambda-type atoms with transitions selectively coupled to distinct modes of a single chiral waveguide. Through numerical simulations, we evaluate the device's performance in a potential application involving photon-number-splitting (PNS) attacks against quantum key distribution (QKD). © 2024 IEEE.

关键词： quantum cryptography

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Key technologies toward ultra-fast optical quantum computers 5

Key technologies toward ultra-fast optical quantum computers

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quantum computing, Communication, and Simulation V 2025

作者： Endo, Mamoru Furusawa, Akira Department of Applied Physics School of Engineering The University of Tokyo 7-3-1 Bunkyo Tokyo113-8656 Japan Optical Quantum Computing Research Team RIKEN Center for Quantum Computing 2-1 Hirosawa Saitama Wako351-0198 Japan

ISBN: (纸本)9781510685307

quantum computers harnessing the principles of quantum mechanics hold the potential to outperform classical systems. Continuous-variable quantum information processing with light offers advantages such as THz-order clock frequencies, scalability via temporal multiplexing, and compatibility with ultra-fast optical communication technologies. This type of quantum computer can be described as an ultra-fast analog quantum computer, making it particularly well-suited for applications involving continuous variables, such as neural networks and optimization problems. However, challenges in universal computation and error correction persist due to weak light-matter interactions. This presentation introduces our advancements in optical quantum computing using waveguide optical parametric amplifiers (OPAs) and non-Gaussian quantum state generation with photon-number resolving detectors (PNRDs). We also propose an all-optical scheme leveraging OPAs to achieve fault-tolerant quantum computing, enabling logical qubit generation and clock frequencies exceeding THz. © 2025 SPIE.

关键词： Parametric amplifiers

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Error Exponent and Strong Converse for quantum Soft Covering

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IEEE Transactions on Information Theory 2024年第5期70卷 3499-3511页

作者： Cheng, Hao-Chung Gao, Li The Graduate Institute of Communication Engineering The Institute of Applied Mathematical Sciences National Taiwan University Center for Quantum Science and Engineering The Department of Electrical Engineering The Department of Mathematics Taipei10617 Taiwan National Center for Theoretical Sciences Physics Division Taipei10617 Taiwan Quantum Computing Center New Taipei City236 Taiwan University of Houston Department of Mathematics HoustonTX77204 United States

How well can we approximate a quantum channel output state using a random codebook with a certain size? In this work, we study the quantum soft covering problem, which uses a pairwise-independent random codebook to approximate the target output state of a quantum channel. We establish a one-shot error exponent bound and a one-shot strong converse bound on the approximation error measured in terms of the expected trace distance between the codebook-induced state and the true channel output state. When using independent and identically-distributed random codebook with a rate above the quantum mutual information I(X:B)ρ , we prove that the error decays exponentially with its error exponent expressed by the sandwiched Rényi information. On the other hand, when the rate of the codebook size is below the quantum mutual information, the error converges to one exponentially fast. Similar results are obtained using a random constant composition codebook, whereas the sandwiched Augustin information gives the error exponent. In addition to the above large deviation analysis, our results also hold in the moderate deviation regime. © 1963-2012 IEEE.

关键词： Signal encoding

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Impacts of Darwinian Evolution on Pre-Trained Deep Neural Networks

Impacts of Darwinian Evolution on Pre-Trained Deep Neural Ne...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Du, Guodong Jiang, Runhua Yang, Senqiao Li, Haoyang Chen, Wei Li, Keren Goh, Sim Kuan Tang, Ho-Kin China School of Electrical Engineering and Artificial Intelligence Xiamen University Malaysia Malaysia Center for Quantum Computing Peng Cheng Laboratory China

ISBN: (纸本)9781665410205

Darwinian evolution of the biological brain is documented through multiple lines of evidence, although the modes of evolutionary changes remain unclear. Drawing inspiration from the evolved neural systems (e.g., visual cortex), deep learning models have demonstrated superior performance in visual tasks, among others. While the success of training deep neural networks has been relying on back-propagation (BP) and its variants to learn representations from data, BP does not incorporate the evolutionary processes that govern biological neural systems. This work proposes a neural network optimization framework based on evolutionary theory. Specifically, BP-trained deep neural networks for visual recognition tasks obtained from the ending epochs are considered the primordial ancestors (initial population). Subsequently, the population evolved with differential evolution. Extensive experiments are carried out to examine the relationships between Darwinian evolution and neural network optimization, including the correspondence between datasets, environment, models, and living species. The empirical results show that the proposed framework has positive impacts on the network, with reduced over-fitting and an order of magnitude lower time complexity compared to BP. Moreover, the experiments show that the proposed framework performs well on deep neural networks and big datasets. © 2024 IEEE.

关键词： Biotic

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Adaptive generation of flying logical qubits

Adaptive generation of flying logical qubits

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CLEO: Fundamental Science, CLEO:FS 2024 - Part of Conference on Lasers and Electro-Optics, CLEO 2024

作者： Takase, Kan Hanamura, Fumiya Nagayoshi, Hironari Kawasaki, Akito Asavanant, Warit Endo, Mamoru Furusawa, Akira Department of Applied Physics School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan Optical Quantum Computing Research Team RIKEN Center for Quantum Computing 2-1 Hirosawa Wako Tokyo351-0198 Japan

We formulate a method to efficiently e xtract t he n on-classicality o f photon number measurements into optical traveling wave and show that practical logical qubits can be generated over 10% probability in a realist... 详细信息

ISBN: (纸本)9781957171395

关键词： Qubits

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Ultra-low power MoS2 optoelectronic synapse with wavelength sensitivity for color target recognition

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Science China(Information Sciences) 2025年第4期68卷 187-196页

作者： Bo WEI Yabo CHEN Xiaotong HAN Yan KANG Bujia LIANG Cheng LI Xiaokuo YANG Liang FANG Yuanxi PENG Institute for Quantum Information & State Key Laboratory of High Performance Computing College of ComputerNational University of Defense Technology Fundamentals Department Air Force Engineering University College of Advanced Interdisciplinary Studies National University of Defense Technology Institute of Quantum Information Science and Technology College of ScienceNational University of Defense Technology College of Computer National University of Defense Technology

Optoelectronic synapses that integrate visual perception and pre-processing hold significant potential for neuromorphic vision systems（NVSs）. However, due to a lack of wavelength sensitivity, existing NVS mainly focuses on gray-scale image processing, making it challenging to recognize color images. Additionally, the high power consumption of optoelectronic synapses, compared to the 10 fJ energy consumption of biological synapses, limits their broader application. To address these challenges, an energy-efficient NVS capable of color target recognition in a noisy environment was developed,utilizing a MoS2optoelectronic synapse with wavelength sensitivity. Benefiting from the distinct photon capture capabilities of 450, 535, and 650 nm light, the optoelectronic synapse exhibits wavelength-dependent synaptic plasticity, including excitatory postsynaptic current（EPSC）, paired-pulse facilitation（PPF）, and long-term plasticity（LTP）. These properties can effectively mimic the visual memory and color discrimination functions of the human vision system. Results demonstrate that the NVS, based on MoS2optoelectronic synapses, can eliminate the color noise at the sensor level, increasing color image recognition accuracy from 50% to 90%. Importantly, the optoelectronic synapse operates at a low voltage spike of0.0005 V, consuming only 0.075 fJ per spike, surpassing the energy efficiency of both existing optoelectronic and biological synapses. This ultra-low power, color-sensitive device eliminates the need for color filters and offers great promise for future deployment in filter-free NVS.

关键词： optoelectronic synapse neuromorphic vision system color recognition 2D materials image pre-processing

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Impedance Standard Substrate Characterization and em model definition for Cryogenic and quantum-computing Applications

Impedance Standard Substrate Characterization and em model d...

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2023 IEEE/MTT-S International Microwave Symposium, IMS 2023

作者： Shokrolahzade, Ehsan Sebastiano, Fabio Mubarak, Faisal Babaie, Masoud Spirito, Marco Netherlands TU Delft Department of Quantum & Computing Engineering & QuTech Netherlands Dutch Metrology Institute VSL Netherlands

ISBN: (纸本)9798350347647

In this contribution, we describe the modeling approaches and the characterization procedures used to develop accurate standard models for cryogenic, probe-level, calibrations *** key electrical and mechanical parameters of the impedance terminations and the lines used in commercially available impedance standard substrates are first characterized versus temperature. After, these component are simulated using 2.5D EM solvers including their mechanical variation when exposed to cryogenic temperatures, to extract their nominal response at 7 Kelvin. The quality of the resulting calibrations at cryogenic is evaluated first using independent CPW lines on the calibration substrates and then by measuring the response of a transformer-based resonator realized on a Si-based *** temperature models are used as a comparison, to highlight the accuracy improvement that can be achieved employing optimized Cryo-EM based models. © 2023 IEEE.

关键词： Substrates

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Recursive quantum eigenvalue and singular-value transformation: Analytic construction of matrix sign function by Newton iteration

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Physical Review Research 2024年第1期6卷 L012007-L012007页

作者： Kaoru Mizuta Keisuke Fujii RIKEN Center for Quantum Computing (RQC) Hirosawa 2-1 Wako Saitama 351-0198 Japan Department of Applied Physics The University of Tokyo Hongo 7-3-1 Bunkyo Tokyo 113-8656 Japan Graduate School of Engineering Science Osaka University 1-3 Machikaneyama Toyonaka Osaka 560-8531 Japan Center for Quantum Information and Quantum Biology Osaka University 1-3 Machikaneyama Toyonaka Osaka 560-8531 Japan Fujitsu Quantum Computing Joint Research Division at QIQB Osaka University 1-2 Machikaneyama Toyonaka 560-0043 Japan

quantum eigenvalue transformation (QET) and its generalization, quantum singular value transformation (QSVT), are versatile quantum algorithms that allow us to apply broad matrix functions to quantum states, which cover many significant quantum algorithms such as Hamiltonian simulation. However, finding a parameter set which realizes preferable matrix functions in these techniques is difficult for large-scale quantum systems: there is no analytical result other than trivial cases as far as we know and we often suffer also from numerical instability. In this Letter, we propose recursive QET or QSVT (R-QET or R-QSVT) in which we can execute complicated matrix functions by recursively organizing block-encoding by low-degree QET or QSVT. Owing to the simplicity of recursive relations, it works only with a few parameters with exactly determining the parameters, while its iteration results in complicated matrix functions. In particular, by exploiting the recursive relation of Newton iteration, we construct the matrix sign function, which can be applied for eigenstate filtering for example, in a tractable way. We show that an analytically obtained parameter set composed of only eight different values is sufficient for executing QET of the matrix sign function with an arbitrarily small error ɛ. Our protocol will serve as an alternative protocol for constructing QET or QSVT for some useful matrix functions without numerical instability.

关键词： quantum algorithms quantum algorithms & computation quantum circuits quantum computation quantum simulation

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Parametric all-optical modulation on a chip

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Physical Review Applied 2024年第6期21卷 064049-064049页

作者： Zhan Li Jiayang Chen Zhaohui Ma Chao Tang Yong Meng Sua Yu-Ping Huang Physics Department Center for Quantum Science and Engineering Quantum Computing Inc. Hoboken New Jersey 07030 United States

We demonstrate parametric all-optical modulation in a periodically poled lithium niobate microring resonator on a chip. It uses quantum Zeno blockade between two distinct waves, a signal and a pump, through their sum-frequency generation at a large per-photon efficiency of 8.2 MHz. With nanosecond pump pulses with 6-mW peak power, 85.7% modulation extinction is observed, achieving an efficiency increase of more than 30 times compared with previous implementations. With only 2-mW pump peak power, 43.0% modulation extinction is observed for a twice-as-strong signal of 4 mW. This demonstrates that optical transistors with cascadability and fan-out are possible with just parametric nonlinear optics. These results, together with inherent advantages in such photonic integrated circuits, open the door to scalable technology for all-optical and quantum information processing.

关键词： Frequency conversion Integrated optics Optical quantum information processing Parametric resonance Photonics quantum Zeno dynamics Devices for digital logic, storage & processing Optical microcavities

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quantum search algorithm for continuous domains

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Science China(Physics,Mechanics & Astronomy) 2025年第6期68卷 211-211页

作者： Lvzhou Li Institute of Quantum Computing and Software School of Computer Science and EngineeringSun Yat-sen UniversityGuangzhou 510006China

The paper“Fixed-point quantum continuous search algorithm with optimal query complexity”[1]presents another interesting application of quantum search algorithms by addressing one of the long-standing challenges in quantum computing:how to efficiently perform search over continuous *** Grover’s algorithm has been a cornerstone in discrete quantum search with its well-known quadratic speedup[2],many real-world problems—ranging from high-dimensional optimization to spectral analysis of infinite dimensional operators—require searching over continuous,uncountably infinite solution spaces.

关键词： spectral analysis infinite dimensi quadratic speedup many discrete quantum search quantum computing how search continuous domainswhile quantum search algorithms fixed point quantum continuous search algorithm quantum search algorithm

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