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Xanadu

Xanadu

Photonic quantum computers built from light, and the PennyLane quantum software library.

Public · NASDAQ:XNDU
Sector
Quantum computing
Based in
Toronto, Canada
Founded
2016
Invested
May 2026

Xanadu builds quantum computers that use photons (particles of light) as qubits. Photonic chips can be made in existing semiconductor factories and networked together at room temperature, which Xanadu sees as a path to large, fault-tolerant machines.

It also created PennyLane, a widely used open-source library for programming quantum computers and quantum machine learning, which runs on hardware from many providers.

Christian Weedbrook founded Xanadu in Toronto in 2016. It went public in March 2026 through a merger with Crane Harbor Acquisition Corp, and trades on the Nasdaq and the Toronto Stock Exchange as XNDU.

As of 29 Sep 2026

Why I own it

If AI needs orders of magnitude more compute, some of it will come from entirely new kinds of computers. Xanadu builds quantum computers from light, designed to be networked together, and created PennyLane, a widely used quantum software library.

Quantum computing is early and the timeline is uncertain. This is a small, long-dated bet on one of the more credible approaches.

Then · May 2026

Since I invested

Held for
5 months
Status
Active
Share price, past year
-49%
In the notebook
1 note
Visit xanadu.ai

From the notebook

All notes
  1. Connections

    Xanadu and AMD's Backline wires quantum chips into EPYC servers

    Xanadu and AMD this month released Backline, an open platform co-designed by the two companies for rapid communication between quantum and classical computing hardware. It targets end-to-end loop times under 3 microseconds between Xanadu's photonic processors and AMD's EPYC and Threadripper CPUs, Instinct GPUs and Versal FPGAs. For AMD it's a low-cost way into quantum-adjacent infrastructure; for Xanadu it ties its PennyLane software to chips already sitting in data centres.

    Since this note:Xanadu −17.3%AMD −1.6%(S&P 500 +0.3%)

Written by AI from share prices, the companies' posts and the news. Can be wrong; not financial advice.

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