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The co-location of memory and processing is a core principle of neuromorphic computing. A local memory device for synaptic weight storage has long been recognized as an enabling element for large-scale, high-performance neuromorphic…

应用物理 · 物理学 2023-11-13 Bryce A. Primavera , Saeed Khan , Richard P. Mirin , Sae Woo Nam , Jeffrey M. Shainline

Optical communication achieves high fanout and short delay advantageous for information integration in neural systems. Superconducting detectors enable signaling with single photons for maximal energy efficiency. We present designs of…

神经与进化计算 · 计算机科学 2018-11-14 Jeffrey M. Shainline , Sonia M. Buckley , Adam N. McCaughan , Jeff Chiles , Richard P. Mirin , Sae Woo Nam

Circuits using superconducting single-photon detectors and Josephson junctions to perform signal reception, synaptic weighting, and integration are investigated. The circuits convert photon-detection events into flux quanta, the number of…

Neural networks have proven effective for solving many difficult computational problems. Implementing complex neural networks in software is very computationally expensive. To explore the limits of information processing, it will be…

神经与进化计算 · 计算机科学 2017-04-20 Jeffrey M. Shainline , Sonia M. Buckley , Richard P. Mirin , Sae Woo Nam

We demonstrate superconducting single-photon detectors that integrate signals locally at each pixel. This capability is realized by the monolithic integration of superconducting-nanowire single-photon detectors with Josephson electronics.…

应用物理 · 物理学 2023-10-23 Saeed Khan , Bryce A. Primavera , Richard P. Mirin , Sae Woo Nam , Jeffrey M. Shainline

Any large-scale spiking neuromorphic system striving for complexity at the level of the human brain and beyond will need to be co-optimized for communication and computation. Such reasoning leads to the proposal for optoelectronic…

新兴技术 · 计算机科学 2021-06-29 Bryce A. Primavera , Jeffrey M. Shainline

Superconducting optoelectronic loop neurons are a class of circuits potentially conducive to networks for large-scale artificial cognition. These circuits employ superconducting components including single-photon detectors, Josephson…

神经与进化计算 · 计算机科学 2022-10-19 Jeffrey M. Shainline , Bryce A. Primavera , Saeed Khan

The design of neural hardware is informed by the prominence of differentiated processing and information integration in cognitive systems. The central role of communication leads to the principal assumption of the hardware platform: signals…

神经与进化计算 · 计算机科学 2018-05-28 Jeffrey M. Shainline , Sonia M. Buckley , Adam N. McCaughan , Jeff Chiles , Richard P. Mirin , Sae Woo Nam

Superconducting nanowire single-photon detectors are an enabling technology for modern quantum information science and are gaining attractiveness for the most demanding photon counting tasks in other fields. Embedding such detectors in…

Single-photon detection possibility is a fundamental requirement for quantum technologies, including communication, computing and sensing. To achieve scalability and practical deployment, increasing attention is being directed toward…

Scalable, high speed data transfer between cryogenic (0.1-4 K) and room temperature environments is instrumental in a broad range of fields including quantum computing, superconducting electronics, single photon imaging and space-based…

应用物理 · 物理学 2020-02-04 Marc de Cea , Emma E. Wollman , Amir H. Atabaki , Dodd J. Gray , Matthew D. Shaw , Rajeev J. Ram

We present and theoretically analyse the performance of an innovative non-local superconducting single-photon detector. The device operates thanks to the energy-to-phase conversion mechanism, where the energy of the absorbed single-photon…

介观与纳米尺度物理 · 物理学 2024-04-19 Federico Paolucci

Superconducting nanowire single-photon detectors promise efficient (~100%) and fast (~Gcps) detection of light at the single-photon level. They constitute one of the building blocks to realize integrated quantum optical circuits in a…

The circuits comprising superconducting optoelectronic synapses, dendrites, and neurons are described by numerically cumbersome and formally opaque coupled differential equations. Reference 1 showed that a phenomenological model of…

神经与进化计算 · 计算机科学 2024-09-27 Jeffrey M. Shainline , Bryce A. Primavera , Ryan O'Loughlin

To design and construct hardware for general intelligence, we must consider principles of both neuroscience and very-large-scale integration. For large neural systems capable of general intelligence, the attributes of photonics for…

新兴技术 · 计算机科学 2021-05-05 Jeffrey M. Shainline

The lack of energy dissipation and abrupt electrical phase transition of superconductors favorite them for nanoscale technologies, including radiation detectors, and quantum technologies. Moreover, understanding the nanoscale behavior of…

Software-implementation, via neural networks, of brain-inspired computing approaches underlie many important modern-day computational tasks, from image processing to speech recognition, artificial intelligence and deep learning…

光学 · 物理学 2021-02-19 J. Feldmann , N. Youngblood , C. D. Wright , H. Bhaskaran , W. H. P. Pernice

Advanced electro-optic processing combines electrical control with optical modulation and detection. For quantum photonic applications these processes must be carried out at the single photon level with high efficiency and low noise.…

Superconducting Nanowire Single-Photon Detectors (SNSPDs) are key building blocks for photonic quantum technologies due to their ability to detect single photons with ultra-high efficiency, low dark counts and fast temporal resolution.…

Ultrafast, high quantum efficiency single photon detectors are among the most sought-after elements in modern quantum optics and quantum communication. High photon detection efficiency is essential for scalable measurement-based quantum…

光学 · 物理学 2015-05-30 W. Pernice , C. Schuck , O. Minaeva , M. Li , G. N. Goltsman , A. V. Sergienko , H. X. Tang
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