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Following early-stage and scaling companies through awards, contracts and commercial milestones. Established companies feature when their work defines an industry.

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Follow the work, not just the announcement

What we cover

  • Awards & contracts. Who won the work, who is buying, and what is committed, obligated or still conditional.
  • Milestones that matter. Product launches, deployments, manufacturing scale and delivery progress, with evidence behind the announcement.
  • Grants & prizes. Funding that moves technology toward commercial use, with its conditions and next steps in view.
  • Companies building. Early-stage and scaling teams in robotics, photonics and aerospace & defense, alongside energy, industry and infrastructure.

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Where the work is happening

Robotics, photonics and aerospace & defense lead our coverage, including space. We also follow energy, industry and infrastructure, and emerging frontiers.

Robotics

Awards, contracts and deployment milestones for robots working in the physical world.

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Photonics

Optics, lasers and light-based systems moving from research into commercial use.

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Aerospace & defense

Aircraft, space systems and defense technology, from awarded work to delivery.

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Energy

Power generation, storage and grid technology reaching commercial milestones.

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Industry & infrastructure

The hardware, materials and systems behind manufacturing and infrastructure.

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Emerging frontiers

Awards, contracts and commercial progress across other emerging physical technologies.

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The connected product

Work data. Research. Financing.

  • Toekyn generates Verified Work™ data. Physical work linked to Verified Work™ outcomes, source evidence, review and corrections.
  • Qaieo owns simulation, RL, evaluations and ML. Research datasets and models combine verified-work data with simulation data.
  • Yeki brings the inputs together. Verified work, Qaieo research and external API context inform the underwriting and financing direction.

Planned sources: SAM.gov Opportunities, SAM.gov Contract Awards, USAspending and SAM.gov Entity Management. Integration is in development; current demonstrations are synthetic and financing stays in shadow mode.

How the three fit together
Earlier research & software releases

Qaieo began with quantum computing. These earlier articles retain their original dates, sources and links.

From the archive

Quantum research

Earlier essays and explainers from Qaieo’s quantum research coverage. Original publication dates and sources are retained.

What is Perceval?

Perceval is Quandela's open-source Python framework for photonic quantum computing. If Qiskit is the SDK for superconducting qubits, Perceval is the equivalent for photons.

Photonic quantum computers use particles of light as qubits. They run at room temperature, network naturally over fiber, and are the bet of companies like Quandela, PsiQuantum, Xanadu, and ORCA. The programming model is different from gate-based machines: you design linear optical circuits (beam splitters, phase shifters, detectors) and the framework simulates them or targets real hardware.

What Perceval gives you:

  • Circuit design for linear optical quantum computing, with a simulator backend for development.
  • Hardware access to Quandela's photonic QPUs through the cloud.
  • Error mitigation (as of v1.3.0) for dealing with the probabilistic reality of photonic hardware: loss, detector imperfections, partial distinguishability.
  • A growing algorithm library for the problems photonics is naturally good at: boson sampling, graph problems, quantum machine learning.

It's Apache-licensed, actively developed (monthly-ish releases), and currently the most alive open-source project in photonic quantum software. Which brings us to the bigger story.

Source: Quandela docs and repo

The last photonic framework standing

Something quiet happened in photonic quantum software: Xanadu archived Strawberry Fields, its flagship photonic quantum computing library (854 stars, the reference implementation for continuous-variable photonic circuits since 2018). Then it archived MrMustard, the successor library. Both now read-only. No new features, ever.

That leaves Perceval as the only actively developed open-source framework for programming photonic quantum computers. One framework, one company (Quandela) behind it, for an entire hardware paradigm.

Why this matters more than it looks. Open-source frameworks are where a field's knowledge compounds. Qiskit's dominance didn't just help IBM; it trained a generation of quantum programmers who default to IBM's stack. Every archived framework is a small brain drain: tutorials rot, Stack Overflow answers age out, new students find a graveyard where the onboarding used to be.

The risk is a single point of failure. If Quandela pivots, gets acquired, or just slows down, photonic quantum software has no bench. PsiQuantum, the best-funded photonic player, has no open framework at all. The field's software story becomes "one French company's SDK," which is a fragile foundation for an entire approach to quantum computing.

The opportunity is concentration. Scarcity focuses attention. Every photonic quantum developer now has exactly one serious open-source home, which means Perceval's community, docs, and ecosystem get all the oxygen. If you're learning photonic quantum computing in 2026, there is one answer to "where do I start," and this site exists to make that answer as good as it can be.

That's the thesis here: track Perceval closely, cover the field honestly, and help the last framework standing become the foundation photonic quantum deserves.

*Editorial. If I've misread the archival status of anything, the corrections policy stands.*

Source: Qaieo editorial

Photonic quantum hardware landscape, October 2026

Photonic quantum computing had its breakout year. Private capital into photonic hardware hit $2.1 billion in 2025, about 21% of all quantum tech investment, overtaking superconducting as the largest hardware subcategory (per Future Markets' 2026 report). Here's the field as it stands.

Three architectures, three bets. Continuous-variable systems, led by Xanadu, encode information in squeezed light and target quantum machine learning through PennyLane. Discrete-variable systems (PsiQuantum, Quandela, ORCA, QuiX) work with individual photons in linear optical circuits, aiming at fault-tolerant universal machines. Hybrid spin-photon (Photonic Inc, backed by Microsoft) links silicon spin qubits with telecom photons for distributed architectures.

PsiQuantum is the capital leader: a $1B Series E in September 2025 (BlackRock, Temasek, Baillie Gifford; $7B valuation), a $100M CHIPS Act agreement finalized in September 2026, and the Omega silicon-photonic chipset fabbed at GlobalFoundries on a standard 300mm process. Brisbane and Chicago utility-scale sites are under construction, with leadership shifting to ex-AMD/Xilinx chief Victor Peng as interim CEO for the scaling phase. The bet: photons don't generate heat or feel electromagnetic interference, so chips link over standard fiber and the million-qubit roadmap is a manufacturing problem, not a physics problem.

Xanadu became the first pure-play photonic quantum company on a major public market, listing on NASDAQ and the TSX as XNDU in March 2026 via SPAC (~$302M gross proceeds, $275M PIPE). The hardware story in 2026 is packaging: an average 0.085 dB/facet edge-coupling loss, meaning 98%+ of the optical signal survives each fiber-to-chip interface. In photonics, loss is the enemy that compounds at every interface, so this is a genuine milestone, not marketing, though edge coupling is one of roughly 16-17 loss contributors, and analysts estimate another 5-10x system-wide reduction is still needed for fault tolerance. The software story is the opposite: Strawberry Fields and MrMustard are archived, and PennyLane carries the stack alone.

Quandela is the deployment leader in Europe: the 12-qubit Belenos system serves 1,200+ researchers across 30 countries via cloud, and its EuroHPC sibling Lucy was delivered to CEA's TGCC and inaugurated in April 2026. Perceval, its open framework, is the subject this publication tracks most closely.

ORCA Computing is the operational-simplicity play: its PT Series system was installed at the UK's National Quantum Computing Centre and powered up and operational within 36 hours (June 2025). Rack-mounted, room-temperature (cryogenics confined to the detectors), accessible via NVIDIA's CUDA-Q. When a quantum computer installs faster than enterprise SaaS, the deployment model has changed.

Don't forget Hefei. USTC's Jiuzhang 4.0 manipulated and detected 3,050 photons in Gaussian boson sampling (reported in *Nature*, May 2026), still the academic high-water mark. China's photonic program runs quieter than the venture-backed Western companies but keeps setting the experimental bar.

What to watch. Whether PsiQuantum's manufacturing bet converts capital into deployed systems. Whether Xanadu's public-market discipline accelerates or starves its hardware roadmap. Whether Quandela's European deployments compound into a developer ecosystem around Perceval. And whether anyone else open-sources a serious photonic framework, or the field consolidates around one.

*Editorial synthesis from public reporting. Company claims are as stated by the companies; treat funding and timeline figures accordingly. Corrections welcome via the GitHub repo.*

Source: Qaieo editorial

From the archive

Software releases

Historical Perceval release coverage, preserved with its original dates and sources.

View the release timeline

Perceval v1.3.1 Sir Galaad

Quandela published v1.3.1 (v1.3.1 Sir Galaad) of Perceval.

Release notes (abridged, see the full notes at the source link):

Bug fixes

* Fixed deepcopy in SimulatedComputer.execute_async

*This post was auto-generated from the official release notes. Summaries may miss nuance; read the full notes at the source.*

Source: Quandela/Perceval GitHub release

Perceval v1.3.1: bugfix follow-up

A small follow-up to v1.3.0: v1.3.1 fixes deepcopy in `SimulatedComputer.execute_async`. Patch-level, no API changes. If you upgraded to the Sir Galaad line, take this one.

Source: Quandela/Perceval GitHub release

Perceval v1.3.0 Sir Galaad

Quandela published v1.3.0 (v1.3.0 Sir Galaad) of Perceval.

Release notes (abridged, see the full notes at the source link):

This update offers a whole new error mitigation feature, which needed a complete rewriting of the high-level classes of perceval (everything above Processor or RemoteProcessor). This new path also offers a lot of features that the old path couldn't do.

The choice has been made to add a new main path for launching computations, while keeping the existing path as it is. The old path should not be used in new code anymore. You will find in the legacy page of the doc a table describing how to update the old workflow to the new one (link at the bottom of this text).

New features

* Error Mitigation classes:

* Can be inserted into a Computer for automatic use.

* Mitigates the probabilistic results got when using a QPU.

* Available algorithms:

* Detector loss balancing

* HOM/g2 mitigation

* Loss mitigation

* Compilation averaging

* Available as individual classes or through the ErrorMitigationFactory class.

* A new computation workflow:

* SimulatedComputer, RemoteComputer replace the Processor and RemoteProcessor, minus the Experiment, so they can easily be reused. The noise is linked to these Computers

* Computation handles all the com

*This post was auto-generated from the official release notes. Summaries may miss nuance; read the full notes at the source.*

Source: Quandela/Perceval GitHub release

Perceval v1.3.0 'Sir Galaad': error mitigation and a new computation workflow

The biggest Perceval release in a while. v1.3.0 "Sir Galaad" ships a whole new error mitigation feature, significant enough that it required rewriting the high-level classes (everything above Processor/RemoteProcessor).

Error mitigation, built in. The new classes slot into a Computer for automatic use and mitigate the probabilistic results you get running on real photonic hardware. Available algorithms: detector loss balancing, HOM/g2 mitigation, loss mitigation, and compilation averaging. Usable as individual classes or through the ErrorMitigationFactory.

A new computation workflow. SimulatedComputer and RemoteComputer replace Processor and RemoteProcessor (minus the Experiment), so they can be reused easily, with noise linked to the Computers. The old path still works but should not be used in new code; the docs include a migration table.

Why it matters: error mitigation is the difference between a photonic QPU demo and a photonic QPU result you can defend. Baking it into the framework's main path, rather than leaving it as user-land code, is a maturation signal for the whole stack.

Source: Quandela/Perceval GitHub release

Perceval v1.2.4

Quandela published v1.2.4 of Perceval.

Release notes (abridged, see the full notes at the source link):

New features

* New KipuSession, allowing to send jobs to the Kipu Quantum Hub

* Requires the installation of perceval using `pip install perceval-quandela[kipu]`

Improvements

* `GenericInterferometer` now accepts str as interferometer shape

You can contact us on Quandela community forum

*This post was auto-generated from the official release notes. Summaries may miss nuance; read the full notes at the source.*

Source: Quandela/Perceval GitHub release

Perceval v1.2.3

Quandela published v1.2.3 of Perceval.

Release notes (abridged, see the full notes at the source link):

New features

* Arithmetic operations can now be applied on BSDistribution

* "+" and "-" between BSDistributions with the same number of modes

* "*" and "/" between floats and BSDistributions

Improvements

* HTTP error message is now clearer

Breaking changes

* The BSDistribution internal representation has been changed. It must now be imported directly from perceval and no longer from exqalibur

You can contact us on Quandela community forum

*This post was auto-generated from the official release notes. Summaries may miss nuance; read the full notes at the source.*

Source: Quandela/Perceval GitHub release

Perceval v1.2.2

Quandela published v1.2.2 of Perceval.

Release notes (abridged, see the full notes at the source link):

Improvements

* Sped up the creation of BS components

Bug fixes

* Fixed Sampler's iterations crashing when used with a RemoteProcessor

* Numeric overflows in backend computations are now properly caught and raised

*This post was auto-generated from the official release notes. Summaries may miss nuance; read the full notes at the source.*

Source: Quandela/Perceval GitHub release