Photonic Quantum Technology Companies in 2026

Insider Brief

• Photonic quantum computing uses photons as qubits and has attracted interest due to its potential scalability, room-temperature operation, and compatibility with optical infrastructure.
• Companies including PsiQuantum, Xanadu, ORCA Computing, Quandela, QuiX Quantum, Quantum Source, Nu Quantum, Q.ANT, and Sparrow Quantum are developing photonic quantum computing hardware and related technologies.
• Photonic platforms continue to face challenges such as photon loss and scaling, while competing with other quantum modalities including trapped-ion and superconducting systems.

Most quantum computers rely on extreme cooling to keep their qubits stable. Photonic quantum computers take a different route by using photons, particles of light, as the carriers of quantum information. This allows the processors themselves to operate at room temperature and connects the technology with existing optical infrastructure used in communications.

The approach comes with its own challenges, but it has attracted attention because it connects quantum hardware with mature technologies from the optical communications industry. 

This article covers why photonics has become one of the leading quantum hardware approaches, how the technology works, and the companies building photonic quantum computers, networking infrastructure, and core components in 2026.

How Photonic Quantum Computing Works

A photonic quantum computer uses individual photons as qubits. Quantum information can be encoded through properties such as polarization, phase, arrival time, or spatial path within an optical circuit. Each method involves trade-offs in stability, speed, and hardware compatibility.

Quantum gates are created using optical components such as beam splitters and phase shifters, which manipulate photon states through interferometric circuits. A major challenge is that photons do not naturally interact with each other, making two-qubit operations difficult. In linear optics, these operations are often probabilistic and require additional resources such as ancilla photons and measurement-based corrections to improve reliability.

Photonic systems generally follow two main approaches: discrete variable (DV), where information is stored in specific photon properties such as polarization or path, and continuous variable (CV), where information is encoded in the amplitude and phase of light fields.

Both approaches face the challenge of photon loss. Unlike other qubit types, a lost photon cannot be reset or recovered, making loss reduction a central focus of photonic quantum hardware development. 

For a broader view of how photonics compares to other hardware approaches, TQI’s quantum computing hardware landscape overview covers each modality in depth.

Why Photonics?

Photonic quantum computers have potential advantages in infrastructure and scalability. Unlike superconducting systems, photonic processors can operate at room temperature, removing the need for large dilution refrigerators used to cool qubits to millikelvin temperatures. Some cryogenic components remain necessary, particularly for photon detection, but the overall hardware requirements are different.

Photonic systems also build on existing silicon photonics manufacturing processes used in optical communications. While adapting these processes for quantum applications remains a technical challenge, the industry already has experience producing photonic integrated circuits at commercial scale.

Their use of photons also makes photonic platforms relevant for quantum networking. Photons can travel through standard optical fiber with low loss at telecom wavelengths, creating a natural connection between photonic quantum processors and future quantum communication infrastructure.

Photonic Quantum Computing Companies

The following is a non-exhaustive selection of companies working in photonic quantum computing. Companies appear in no particular order, and their inclusion does not constitute a ranking, endorsement, or assessment of any company’s commercial prospects.

PsiQuantum

PsiQuantum is a Palo Alto-based quantum computing company pursuing fault-tolerant quantum computing through fusion-based quantum computing (FBQC) on silicon photonic chips manufactured by GlobalFoundries. The company was founded in 2015 by Jeremy O’Brien, Terry Rudolph, Pete Shadbolt, and Mark Thompson, and targets a fault-tolerant, utility-scale system by the end of the decade, with 2029 cited as its projected milestone 

In September 2025, PsiQuantum closed a $1 billion Series E at a $7 billion valuation, led by BlackRock, Temasek and Baillie Gifford . The company is building utility-scale quantum computing facilities in Chicago and in Moreton Bay, Australia, backed by A$940 million in Australian government funding. In May 2026, the company signed a $100 million letter of intent with the US Department of Commerce under the CHIPS and Science Act.

Xanadu

Xanadu listed on Nasdaq and the Toronto Stock Exchange in March 2026 via a business combination with Crane Harbor Acquisition Corp., generating $302 million in gross proceeds. Founded in 2016 by Christian Weedbrook, the company introduced Aurora as a modular, networked photonic quantum computer with real-time error correction.

In June 2025, Xanadu demonstrated on-chip GKP state generation in a Nature paper, the first time error-correctable photonic qubits were produced on a silicon nitride chip. The company reported 12 logical GKP qubits with real-time error correction and a 60% reduction in optical loss in 2025. Xanadu has projected up to 500 logical qubits by 2029-2030. 

ORCA Computing

ORCA Computing was founded in 2019 in London by Ian Walmsley, Richard Murray, Josh Nunn, and Cristina Escoda. The company stores photons in optical fiber delay lines to synchronize them for gate operations, removing the need for simultaneous active photon sources.

ORCA has deployed its PT-2 system at the UK National Quantum Computing Centre and demonstrated fiber network route optimization for Vodafone. In October 2025, ORCA partnered with NVIDIA on NVQLink, an open reference architecture for real-time quantum-classical integration, alongside around 20 other quantum hardware companies. 

The company’s PT-3 system is planned for release in 2026, targeting quantum advantage on optimization and generative AI workloads. 

Quandela

Quandela was founded in 2017 in France as a spinout from the Institut d’Optique Graduate School by Niccolo Somaschi, Pascale Senellart, and Valerian Giesz. The company builds gate-based photonic quantum computers using semiconductor quantum dot single-photon sources, available via cloud and on-premises deployments.

In October 2025, Quandela delivered its 12-qubit Lucy photonic system to the CEA, installed at the TGCC supercomputing center under EuroHPC JU. In November 2025, the company partnered with OVHcloud to offer its BELENOS (12-qubit) and CANOPUS (24-qubit) processors on a sovereign European cloud from mid-2026.

QuiX Quantum

QuiX Quantum was founded in 2019 in Enschede, the Netherlands, by Hans van den Vlekkert, Jelmer Renema, and researchers from the University of Twente. The company builds programmable photonic processors on silicon nitride waveguides, leveraging the Netherlands’ photonics manufacturing base.

In 2022, QuiX signed a €14 million contract with the German Aerospace Center (DLR QCI) to deliver 8-qubit and 64-qubit photonic quantum computers over a four-year project, the first commercial sale of universal quantum computers based on photonics, according to the company. In July 2025, QuiX raised €15 million in Series A funding co-led by Invest-NL and the EIC Fund, targeting delivery of the first single-photon-based universal photonic quantum computer in 2026.

Quantum Source

Quantum Source was founded in 2021 in Israel by Oded Melamed, Gil Semo, Dan Charash, and Prof. Barak Dayan of the Weizmann Institute of Science. The company’s cavity-QED architecture uses single atoms on a photonic chip as deterministic photon-photon interaction mediators, reducing the resource overhead that limits linear optical quantum computing.

Systems are designed to operate at room temperature in server-sized form factors using manufacturable photonic chips. The company is backed by Pitango, Eclipse, Grove Ventures, and Dell Technologies Capital.

Nu Quantum

Nu Quantum is a Cambridge-based quantum networking company founded in 2018 by Carmen Palacios-Berraquero, building photonic infrastructure for distributed quantum computing. Its Entanglement Fabric interconnects quantum processors via qubit-photon interfaces, designed for multi-QPU scale-out within data center architectures.

In December 2025, Nu Quantum raised $60 million in a Series A led by National Grid Partners, which the company described as the largest quantum Series A in the UK to date. Furthermore, in February 2026, Nu Quantum opened the first dedicated industrial R&D facility for distributed trapped-ion quantum computing in the UK and Europe, in Cambridge.Nu Quantum co-founded the Quantum Datacenter Alliance alongside Cisco, NTT DATA, OQC, QphoX, Quantinuum, and QuEra.

Q.ANT

Q.ANT is a Stuttgart-based photonic quantum technology company spun out of Trumpf in 2018. In July 2025, the company raised €62 million in a Series A co-led by Cherry Ventures, UVC Partners, and imec.xpand, with Trumpf participating alongside other investors. 

The company develops quantum computing processors based on Thin-Film Lithium Niobate (TFLN), a material enabling faster electro-optic modulation than silicon photonics with low insertion loss. Q.ANT also develops quantum sensing products for industrial applications.

The company coordinates the BMBF-funded PhoQuant consortium, advancing photonic quantum computing chips designed and manufactured domestically. Trumpf’s manufacturing infrastructure and distribution channels give Q.ANT access to production capabilities that most photonic startups reach only through third-party partnerships.

Sparrow Quantum

Sparrow Quantum is a Copenhagen-based photonic quantum technology company founded by Professor Peter Lodahl and Kurt Stokbro, built on research from Professor Lodahl’s group at the Niels Bohr Institute. The company produces deterministic single-photon sources based on semiconductor quantum dots, targeting the efficiency, purity, and photon indistinguishability that system-level photonic computing architectures require.

The company completed its €27.5 million Series A in December 2025, the largest quantum technology investment in the Nordic region. Sparrow Quantum operates at the component level, supplying a building block that photonic quantum computing architectures pursuing fusion-based and boson-sampling approaches depend on for fault-tolerant operation.

Company Overview

How Photonics Compares to Other Modalities

On gate fidelity, photonic systems currently face challenges compared with trapped-ion hardware. Trapped-ion platforms have demonstrated two-qubit gate fidelities above 99.5%, while photonic systems are harder to compare directly because they use different encoding methods. In deployed photonic systems, photon loss and single-photon source quality remain key engineering challenges.

Manufacturing is one area where photonics has attracted interest. Semiconductor fabs already produce photonic integrated circuits at commercial scale, giving photonic hardware a foundation to build on as researchers work toward larger systems.

Networking is another area where photonic systems have a natural advantage. Photons can travel through standard optical fiber, making them well suited for future distributed quantum computing and quantum communication architectures.

Each quantum hardware approach currently has different strengths. Trapped-ion systems have demonstrated high-fidelity logical qubit operations, while superconducting platforms continue to focus on increasing qubit density and improving error correction. Photonic systems are being explored for applications where optical communication and distributed architectures are important.

A question that comes up often in quantum computing is which hardware approach will eventually dominate. The answer is still unclear. Each modality has different strengths, and the right choice may depend on the application being developed.

The field has not reached a consensus on which modality will dominate. As Michael Biercuk, founder and CEO of Q-CTRL, said: “Each modality has its own strengths and weaknesses. We don’t have a favorite.”

That is probably the most accurate way to view the current landscape. Quantum computing is still an engineering challenge with multiple paths being explored. Some approaches may prove better suited for specific applications, while others may continue to evolve alongside them. The industry is still working out which combinations of hardware, software, and infrastructure will support useful quantum systems at scale. 

Frequently Asked Questions

What is the main engineering challenge in photonic quantum computing?

The central challenge is photon loss. A photon that is absorbed or scattered during an optical operation is permanently lost, unlike a trapped ion or superconducting qubit that can be reset. In linear optics, two-qubit gate operations are also probabilistic rather than deterministic, requiring large numbers of redundant photons and resource states. Reducing optical loss and improving single-photon source quality are the two variables that gate the field’s progress toward fault tolerance.

What is a GKP state and why does it matter?

GKP (Gottesman-Kitaev-Preskill) states are error-resistant photonic qubits encoded in the continuous-variable quantum properties of light. They provide a route to fault-tolerant computation within photonic systems without requiring the very high physical gate fidelities that discrete-variable approaches demand. Xanadu’s June 2025 Nature paper demonstrated on-chip GKP state generation for the first time, showing that optical loss reduction and error-correctable qubit generation could be addressed simultaneously on manufacturable hardware.

How does PsiQuantum’s approach differ from Xanadu’s?

PsiQuantum uses fusion-based quantum computing (FBQC), a discrete-variable approach where small entangled resource states are fused together through destructive measurements at optical circuits, building up a large entangled cluster state for computation. Xanadu uses a continuous-variable (CV) approach, encoding information in the amplitude and phase of electromagnetic field modes and targeting GKP error correction for fault tolerance. Both require reliable photon generation and low optical loss but reach the goal.

For a broader view of the quantum hardware landscape, TQI’s guide to the quantum computing hardware landscape covers each modality in depth. Trapped-ion quantum computing companies in 2026 covers the modality currently holding the gate fidelity lead. Quantum computing companies in Germany profiles the European hardware players including those in the photonics space.