What EOE Simulation Is and Why ADS 2026 Matters
Electro‑optical‑electrical (EOE) simulation is a design approach that models complete signal chains from electrical transmitters, through optical or photonic links, and back into electrical receivers within one coherent workflow, allowing engineers to assess signal integrity, noise, and nonlinear behavior across both electrical and optical domains before building hardware. Keysight’s addition of EOE simulation to ADS 2026 turns its well‑known High Speed Digital environment into a mixed‑domain platform. Instead of stitching together results from separate SerDes simulation and photonics IC design tools, teams can now study a full signal path in a single project. This aligns with growing demand for optical links in AI infrastructure and high‑performance computing, where electrical SerDes and photonic IC design are tightly coupled. By unifying electrical and optical domain modeling, ADS 2026 aims to cut iteration cycles and shrink the gap between architecture decisions and detailed implementation.
Unified Workflow for SerDes and Photonics IC Design
The EOE capability in ADS 2026 directly targets engineers building high‑speed SerDes channels tied to advanced photonics IC design. Keysight combines its High Speed Digital workflow with Keysight Photonic Designer so that a single project can include SerDes simulation, optical domain modeling, and receiver analysis. That means a designer can tune equalization, modulators, and photonic routing while observing end‑to‑end eye diagrams, jitter, and noise. Signal integrity issues that only appear when electrical and optical effects interact—such as bias‑dependent nonlinearities or optical envelope distortions—can be detected before hardware testing. The same environment supports work from system architecture down to circuit and component levels, with PDK support for photonic integrated circuits and integration with Keysight RSoft for device‑level refinement. This continuity across the flow helps SerDes and photonics teams coordinate earlier, reducing the risk of late‑stage surprises at board or package bring‑up.
Modeling Multi-Wavelength Links for Future Data Rates
As link speeds climb, multi‑wavelength and multi‑lane architectures become central to photonics IC design. EOE simulation in ADS 2026 includes wavelength division multiplexing support, enabling engineers to examine nonlinear effects across many optical carriers in a single system‑level model. According to engineering.com, “By 2029, 87% of hyperscale optical transceivers are expected to operate at 800Gbps or higher, with 1.6Tbps and 3.2Tbps links also emerging.” For these data rates, interactions between wavelengths, modulators, and electrical drivers can no longer be treated independently. ADS 2026 lets users build multi‑wavelength link models that include both forward and backward propagation in a full‑duplex EOE channel. This gives a clearer view of how nonlinearities, crosstalk, and noise accumulate, helping architects validate that 800G and 1.6T designs meet margin targets long before silicon tape‑out or photonic assembly.
Addressing Mixed-Domain Complexity in High-Speed Architectures
Modern high‑speed communication chips rely on tightly coupled electrical and optical blocks, from SerDes front‑ends on CPUs and GPUs to co‑packaged optics and photonics ICs. Traditional workflows often split these into separate tools, forcing engineers to manually transfer S‑parameters, waveforms, or behavioral models between environments. ADS 2026’s EOE simulation addresses this friction by linking electrical channel simulation with optical envelope models in one workflow. Engineers can model noise across domains at the same time, gaining a more complete picture of system‑level signal quality. End‑to‑end EOE simulations capture modulator bias‑dependent behavior and large‑signal nonlinear effects that influence design limits and operating windows. This integrated view supports better electrical‑optical tradeoff decisions—such as where to spend power budget, which modulation formats to choose, or how much complexity to assign to the photonic versus electrical side—while helping teams keep pace with the rising complexity of AI and high‑performance computing infrastructure.