Quantum Computing Inc. Announces Deployment-Ready NeuraWave, a Photonic Computing Platform for Real-time AI Inference at the Edge

Rhea-AI Summary

Quantum Computing Inc. (NASDAQ: QUBT) announced on April 23, 2026 that NeuraWave, its photonic reservoir computing platform, is now deployment-ready and available for customer orders.

NeuraWave is a PCIe plug-in card designed for hybrid photonic-digital AI inference at the edge, targeting low-latency, low-power applications in telecommunications, autonomous vehicles, robotics, healthcare, defense, and industrial monitoring.

News Market Reaction – QUBT

-8.22%

22 alerts

-8.22% News Effect

-12.5% Trough in 5 hr 16 min

-$198M Valuation Impact

$2.21B Market Cap

1.0x Rel. Volume

On the day this news was published, QUBT declined 8.22%, reflecting a notable negative market reaction. Argus tracked a trough of -12.5% from its starting point during tracking. Our momentum scanner triggered 22 alerts that day, indicating elevated trading interest and price volatility. This price movement removed approximately $198M from the company's valuation, bringing the market cap to $2.21B at that time.

Data tracked by StockTitan Argus on the day of publication.

Key Figures

Technology roadmap year: 2025

1 metrics

Technology roadmap year 2025 Previously announced 2025 technology roadmap referenced as milestone for NeuraWave

Market Reality Check

Price: $8.94 Vol: Volume 16,139,846 vs 20-d...

normal vol

$8.94 Last Close

Volume Volume 16,139,846 vs 20-day average 14,107,848 suggests slightly elevated trading ahead of the AI product update. normal

Technical Shares at $9.86 are trading below the 200-day MA of $13.03, despite a 4.78% gain over the prior session.

Peers on Argus

QUBT gained 4.78% while close peers were mixed: RGTI (-2.16%), QBTS (+1.58%), CR...

QUBT gained 4.78% while close peers were mixed: RGTI (-2.16%), QBTS (+1.58%), CRSR (-1.82%), SSYS (-0.68%). With no peers in momentum scanners, this points to stock-specific interest around QCi’s photonic edge-AI announcement.

Common Catalyst Some peers (QBTS, SSYS) had earnings-related headlines, but no shared AI/edge-computing product theme matching QCi’s NeuraWave launch.

Previous AI Reports

2 past events · Latest: Nov 25 (Positive)

Same Type Pattern 2 events

Date	Event	Sentiment	Move	Catalyst
Nov 25	AI conference participation	Positive	+1.0%	Announcement of attendance at UBS Global Technology and AI Conference with investor meetings.
Nov 11	AI connectivity deal	Positive	-6.0%	Strategic collaboration with POET to co-develop 3.2 Tbps optical engines for next-gen AI connectivity.

Pattern Detected

AI-tagged news has produced mixed reactions, with one modest gain and one notable decline, yielding an average move of -2.51% around prior AI-related headlines.

Recent Company History

Recent updates show QCi steadily building a quantum and photonic computing stack. In Q4 2025, it reported rapid revenue growth but a larger net loss alongside a sizeable private placement and the all-cash Luminar Semiconductor acquisition. Early 2026 brought a Dirac-3 deployment on the Quantum Corridor network, the NuCrypt acquisition, and a joint quantum-secured communications demo with Ciena. Against this backdrop, making NeuraWave deployment-ready extends the company’s push from research and collaborations into practical, applied AI and networking solutions.

Historical Comparison

-2.5% avg move · Past AI-tagged releases ranged from a small gain to a sharper drop, averaging -2.51%. This deploymen...

AI

-2.5%

Average Historical Move AI

Past AI-tagged releases ranged from a small gain to a sharper drop, averaging -2.51%. This deployment-ready NeuraWave launch follows those earlier AI conference and connectivity initiatives.

AI-related news has progressed from conference participation and an optical-engine collaboration to a deployment-ready photonic computing platform aimed at real-time AI inference at the edge.

Regulatory & Risk Context

Active S-3 Shelf

Shelf Active

Active S-3 Shelf Registration 2025-10-09

The company has an effective S-3ASR shelf registration dated 2025-10-09, with the filing active through 2028-10-09. Current data show 0 recorded usage events, indicating no documented takedowns from this shelf in the provided context.

Market Pulse Summary

The stock moved -8.2% in the session following this news. A negative reaction despite the NeuraWave ...

Analysis

The stock moved -8.2% in the session following this news. A negative reaction despite the NeuraWave launch would fit a pattern where prior technology and AI updates did not consistently produce lasting gains. Some investors could focus on execution risk around ramping a new photonic platform and integrating it with the broader product roadmap. They might also consider existing capital-raising flexibility under the effective S-3ASR shelf when assessing dilution and long-term positioning.

Key Terms

photonic computing, photonic reservoir computing, ai inference, edge intelligence, +4 more

8 terms

photonic computing technical

"This marks an important step forward for photonic computing, bringing it out of the laboratory"

Photonic computing uses pulses of light instead of moving electrons to carry out calculations and move information, like replacing electrical wiring with tiny beams of light on a computer chip. It matters to investors because light-based chips promise much faster data processing and lower power use for tasks like large-scale AI and data centers, potentially creating new markets and competitive advantages — but the technology is still emerging and carries development and scaling risks.

photonic reservoir computing technical

"NeuraWave, its next-generation photonic reservoir computing platform first debuted at SC25"

Photonic reservoir computing is a way to do certain types of computing using light instead of electricity: inputs are sent into a complex optical system that scrambles them into richly varying signals, and a simple readout interprets those signals to produce an answer. Like throwing different ingredients into a high-speed blender and sampling the mix to identify a recipe, it can solve pattern-recognition and prediction tasks very quickly and with low energy, which matters to investors because it promises faster, more efficient hardware for AI, data processing, and communications that could reshape demand for chips and optical components.

ai inference technical

"a photonic computing platform for Real-time AI Inference at the Edge"

AI inference is the step where a trained artificial intelligence model uses its learned patterns to analyze new data and produce an output — for example, predicting a stock trend, flagging a medical image, or generating text, much like using a recipe to cook a meal. It matters to investors because inference determines real-world performance, speed, and cost of AI features, affects user experience and scalability, and influences operating expenses, regulatory compliance, and competitive advantage.

edge intelligence technical

"including time-series prediction, anomaly detection, and edge intelligence, enabling a new class"

Edge intelligence is the ability for devices and local systems to collect, analyze and act on data right where it’s produced, rather than sending everything to a distant cloud for processing. Like a shopkeeper deciding at the checkout instead of phoning the head office, it speeds decisions, cuts communication costs, and can improve privacy and reliability. For investors it matters because companies that use edge intelligence can operate more efficiently, offer faster or smarter products, and reduce ongoing cloud expenses, potentially boosting margins and competitive position.

gpu-based architectures technical

"Unlike traditional GPU-based architectures, NeuraWave provides a scalable, hardware-accelerated"

GPU-based architectures are computer system designs that use graphics processors—many compact computing cores working in parallel—to handle large, fast calculations such as AI models, simulations, or massive data tasks. For investors, they matter because systems built around GPUs can deliver much higher performance or lower cost for data-heavy workloads, which can accelerate product development, reduce operating costs, and create competitive advantage in industries that rely on heavy computing power.

edge and embedded deployment technical

"alternative optimized for edge and embedded deployment. Its architecture is designed"

Edge and embedded deployment means running software, algorithms or AI directly on devices or inside products (like sensors, smartphones, factory machines or appliances) instead of in a distant cloud server. For investors this matters because local execution can cut delays and bandwidth costs, improve privacy and reliability, and enable new product features or recurring revenue streams—similar to adding a smart engine inside a gadget rather than relying on a remote control center.

pcie technical

"With the form factor of a standard server PCIe plug-in card, NeuraWave brings photonic"

PCIe (PCI Express) is a high-speed connection standard used inside computers and servers to link components like graphics cards, storage drives, and network adapters so they can send data quickly to each other. Investors care because faster, more efficient PCIe support can make a product more competitive—think of it as wider, faster highway lanes for data—which affects device performance, upgrade flexibility, manufacturing cost and customer demand.

signal processing technical

"AI inference and advanced signal processing applications at the edge."

Signal processing is the set of methods used to turn raw streams of data—like sounds, images, sensor readings, or market feeds—into clear, usable information by reducing noise, highlighting patterns, and converting signals into readable forms. It matters to investors because better signal processing can make products and services more accurate, faster, or cheaper—think of cleaning a blurry photo so details pop—driving customer value, regulatory credibility, and competitive advantage.

AI-generated analysis. Not financial advice.

Designed for Applications in Telecommunications, Autonomous Vehicles, Robotics, Healthcare and Other Markets Requiring Real-Time Inference

HOBOKEN, N.J., April 23, 2026 /PRNewswire/ -- Quantum Computing Inc. ("QCi" or the "Company") (NASDAQ: QUBT) an innovative, quantum optics and integrated photonics technology company, today announced that NeuraWave, its next-generation photonic reservoir computing platform first debuted at SC25, is now deployment-ready.  NeuraWave is designed to enable faster, energy-efficient artificial intelligence (AI) inference and advanced signal processing applications at the edge.

Conventional AI systems rely on power‑hungry digital processors. NeuraWave uses hybrid photonic-digital computing, delivering real-time AI inference with ultra‑low latency and significantly reduced power. NeuraWave is designed to support a wide range of applications, including time-series prediction, anomaly detection, and edge intelligence, enabling a new class of edge AI capabilities and providing actionable insights in time-sensitive and resource-constrained environments.

Unlike traditional GPU-based architectures, NeuraWave provides a scalable, hardware-accelerated alternative optimized for edge and embedded deployment. Its architecture is designed to enable high-performance inference at low power, opening new possibilities in markets such as defense, telecommunications, autonomous vehicles, robotics, healthcare, and industrial monitoring.

"This marks an important step forward for photonic computing, bringing it out of the laboratory and into the hands of users that require real-time and energy-efficient AI inference," said Dr. Yong Meng Sua, Chief Technology Officer of QCi. "NeuraWave demonstrates how our photonic approach can move beyond research and into practical AI and machine learning systems."

"With the form factor of a standard server PCIe plug-in card, NeuraWave brings photonic computing to AI at the edge. By processing data with light instead of electrons, we're creating a fundamentally different approach to real-time analysis, one that has the potential to unlock capabilities beyond what traditional electronic chips can achieve," said Prajnesh Kumar, Quantum Technology Lead at QCi.

The introduction of NeuraWave reinforces QCi's broader strategy to advance photonic computing platforms that bring quantum-inspired and optical technologies into real-world applications today, with units currently being manufactured and now available for customer orders.  NeuraWave represents a key milestone in our previously announced 2025 technology roadmap (available on our website), further validating our strategic direction and continued progress in delivering practical, real-world quantum solutions.

To learn more about NeuraWave and explore how it can enable next-generation AI at the edge, visit our website or contact Quantum Computing Inc. to schedule a demonstration or discussion with our team.

About Quantum Computing Inc.

Quantum Computing Inc. (Nasdaq: QUBT) is an innovative, quantum optics and integrated photonics technology company that provides accessible and affordable quantum machines and foundry services for the production of photonic chips based on thin-film lithium niobate (TFLN). QCi's products are designed to operate at room temperature and low power at an affordable cost. The Company's portfolio of core technologies and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, and cybersecurity, as well as remote sensing applications.

Through its acquisition of Luminar Semiconductor, Inc. and NuCrypt LLC, QCi added to its technology roadmap while expanding technical depth, manufacturing capabilities, and its product portfolio to photonics and optics components, subsystems, and systems.

Company Contact:

John Nesbett/Zach Nevas
IMS Investor Relations
qci@imsinvestorrelations.com

Forward-Looking Statements
This press release contains forward-looking statements as defined within Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. These forward-looking statements and forecasts, generally identified by terms such as "may," "will," "expect," "believe," "anticipate," "estimate," "enhance,"  "intends," "goal," "objective," "seek," "attempt," "aim to," or variations of these or similar words, involve risks and uncertainties because they relate to events and depend on circumstances that will occur in the future. Those statements include statements regarding the intent, belief, or current expectations of QCi and members of its management as well as the assumptions on which such statements are based. Any such forward-looking statements are not guarantees of future performance and involve risks and uncertainties, including NeuraWave's ability to support a wide range of applications, its power consumption, its performance advantage compared to electronic systems, and its processing speed, and that actual results may differ materially from those contemplated by such forward-looking statements. Except as required by federal securities law, QCi undertakes no obligation to update or revise forward-looking statements to reflect changed conditions.

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SOURCE Quantum Computing Inc.

FAQ

What is NeuraWave from Quantum Computing Inc (QUBT) and when was it announced?

NeuraWave is a deployment-ready photonic reservoir computing platform announced on April 23, 2026. According to Quantum Computing Inc, it is a PCIe form-factor hybrid photonic-digital system aimed at real-time, low-power AI inference at the edge.

How does NeuraWave (QUBT) differ from traditional GPU-based edge AI solutions?

NeuraWave processes data using photonics rather than electrons to reduce power and latency. According to Quantum Computing Inc, it offers a scalable hardware-accelerated alternative optimized for edge and embedded deployments compared with conventional GPU architectures.

Which markets and use cases does NeuraWave (QUBT) target for edge AI?

NeuraWave targets telecommunications, autonomous vehicles, robotics, healthcare, defense, and industrial monitoring. According to Quantum Computing Inc, it supports time-series prediction, anomaly detection, and other real-time edge inference tasks.

Is NeuraWave available to customers and how is it delivered for edge deployments?

NeuraWave is available for customer orders and is being manufactured now. According to Quantum Computing Inc, the product comes as a standard server PCIe plug-in card to enable integration into edge and embedded systems.