Short-wavelength Reverberant Wave Systems for Enhanced Reservoir Computing

Ma, Shukai; Antonsen, Thomas M.; Anlage, Steven M.; Ott, Edward

doi:10.21203/rs.3.rs-783820/v1

Cited by 3 publications

(3 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[24,85,86] Ultimately, ex-perimental validation of all these ideas will be indispensable in the future. Moreover, our proposed smart on-chip EM environment can be endowed with a second functionality related to wave-based analog signal-processing by bringing recent proposals of wave processing in (programmable) scattering enclosures for matrix multiplication, [87] signal differentiation, [83] or reservoir computing [88] to the chip scale. Such analog "over-the-air" computing holds the promise to be faster and more energy efficient than its electronic digital counterpart for specific computational operations, paving the way to hybrid analog-digital processing chips.…”

Section: Discussionmentioning

confidence: 99%

Metasurface‐Programmable Wireless Network‐On‐Chip

2022

View full text Add to dashboard Cite

This paper introduces the concept of smart radio environments, currently intensely studied for wireless communication in metasurface‐programmable meter‐scaled environments (e.g., inside rooms), on the chip scale. Wireless networks‐on‐chips (WNoCs) are a candidate technology to improve inter‐core communication on chips but current proposals are plagued by a dilemma: either the received signal is weak, or it is significantly reverberated such that the on–off‐keying modulation speed must be throttled. Here, this vexing problem is overcome by endowing the wireless on‐chip environment with in situ programmability which enables the shaping of the channel impulse response (CIR); thereby, a pulse‐like CIR shape can be imposed despite strong multipath propagation and without entailing a reduced received signal strength. First, a programmable metasurface suitable for integration in the on‐chip environment (“on‐chip reconfigurable intelligent surface”) is designed and characterized. Second, its configuration is optimized to equalize selected wireless on‐chip channels “over the air.” Third, by conducting a rigorous communication analysis, the feasibility of significantly higher modulation speeds with shaped CIRs is evidenced. The results introduce a programmability paradigm to WNoCs which boosts their competitiveness as complementary on‐chip interconnect solution.

show abstract

Section: Discussionmentioning

confidence: 99%

Metasurface‐Programmable Wireless Network‐On‐Chip

2022

View full text Add to dashboard Cite

show abstract

“…Finally, we note that in the future the smart on-chip EM environment that we propose can be endowed with a second functionality related to wave-based analog signalprocessing by bringing recent proposals of wave processing in (programmable) scattering enclosures for matrix multiplication [47], signal differentiation [48], or reservoir computing [49] to the chip scale. Such analog "over-theair" computing holds the promise to be faster and more energy efficient than its electronic digital counterpart for specific computational operations, paving the way to hybrid analog-digital processing chips.…”

Section: Discussionmentioning

confidence: 99%

Metasurface-Programmable Wireless Network-on-Chip

Imani,

Abadal,

del Hougne

2021

Preprint

View full text Add to dashboard Cite

We introduce the concept of smart radio environments, currently extensively studied for wireless communication in metasurface-programmable meter-scaled environments (e.g., inside rooms), on the chip scale. Wired intra-chip communication for information exchange between cores increasingly becomes a computation-speed-bottleneck for modern multi-core chips. Wireless intra-chip links with millimeter waves are a candidate technology to address this challenge, but they currently face their own problems: the on-chip propagation environment can be highly reverberant due to the metallic chip enclosure but transceiver modules must be kept simple (on/off keying) such that long channel impulse responses (CIRs) slow down the communication rate. Here, we overcome this problem by endowing the on-chip propagation environment with in situ programmability, allowing us to shape the CIR at will, and to impose, for instance, a pulse-like CIR despite the strong multipath environment. Using full-wave simulations, we design a programmable metasurface suitable for integration in the on-chip environment ("on-chip reconfigurable intelligent surface"), and we demonstrate that the spatial control offered by the metasurface allows us to shape the CIR profile. We envision (i) dynamic multi-channel CIR shaping adapted to on-chip traffic patterns, (ii) analog wave-based over-the-air computing inside the chip enclosure, and (iii) the application of the explored concepts to off-chip communication inside racks, inside the chassis of personal computers, etc.

show abstract

“…However, equipped with programmable meta-atoms, its scattering properties can be judiciously tuned such that it performs a programmable linear transformation. 236,237 Ideas for adding non-linearities include the use of diode-loaded ports 238 and input-signal-dependent time modulation. 239 The bulkiness of 3D volumetric scattering enclosures appears at first sight a major obstacle to integrability.…”

Section: Complex Scattering Systemmentioning

confidence: 99%

Intelligent meta-imagers: From compressed to learned sensing

Saigre-Tardif

Faqiri

Zhao

et al. 2022

Applied Physics Reviews

View full text Add to dashboard Cite

Computational meta-imagers synergize metamaterial hardware with advanced signal processing approaches such as compressed sensing. Recent advances in artificial intelligence (AI) are gradually reshaping the landscape of meta-imaging. Most recent works use AI for data analysis, but some also use it to program the physical meta-hardware. The role of “intelligence” in the measurement process and its implications for critical metrics like latency are often not immediately clear. Here, we comprehensively review the evolution of computational meta-imaging from the earliest frequency-diverse compressive systems to modern programmable intelligent meta-imagers. We introduce a clear taxonomy in terms of the flow of task-relevant information that has direct links to information theory: compressive meta-imagers indiscriminately acquire all scene information in a task-agnostic measurement process that aims at a near-isometric embedding; intelligent meta-imagers highlight task-relevant information in a task-aware measurement process that is purposefully non-isometric. The measurement process of intelligent meta-imagers is, thus, simultaneously an analog wave processor that implements a first task-specific inference step “over-the-air.” We provide explicit design tutorials for the integration of programmable meta-atoms as trainable physical weights into an intelligent end-to-end sensing pipeline. This merging of the physical world of metamaterial engineering and the digital world of AI enables the remarkable latency gains of intelligent meta-imagers. We further outline emerging opportunities for cognitive meta-imagers with reverberation-enhanced resolution, and we point out how the meta-imaging community can reap recent advances in the vibrant field of metamaterial wave processors to reach the holy grail of low-energy ultra-fast all-analog intelligent meta-sensors.

show abstract

Short-wavelength Reverberant Wave Systems for Enhanced Reservoir Computing

Cited by 3 publications

References 33 publications

Metasurface‐Programmable Wireless Network‐On‐Chip

Metasurface‐Programmable Wireless Network‐On‐Chip

Metasurface-Programmable Wireless Network-on-Chip

Intelligent meta-imagers: From compressed to learned sensing

Contact Info

Product

Resources

About