• Skip to main content
  • Skip to secondary menu
  • Skip to footer

Technologies.org

Technology Trends: Follow the Money

  • Technology Events 2026-2027
  • Sponsored Post
  • Technology Markets
  • About
    • GDPR
  • Contact

Xanadu Releases PennyLane, the First Dedicated Machine Learning Software for Quantum Computers

November 13, 2018 By admin Leave a Comment

Envisioned as the “TensorFlow of quantum computing,” hardware-agnostic PennyLane comes with built-in support for existing qubit and photonic quantum hardware.

Xanadu, a leader in photonic quantum computing and advanced artificial intelligence, today announced PennyLane, the first dedicated machine learning software for quantum computers. Free and open source, PennyLane will enable programmers, researchers, and enthusiasts worldwide to take part in the cutting-edge field of quantum machine learning – the next big step for AI. The software can integrate seamlessly with currently available APIs and quantum hardware from the biggest players in the field.

“Deep learning libraries like TensorFlow and PyTorch opened up artificial intelligence to the world by providing an interface to powerful GPU hardware. With PennyLane, Xanadu is now doing the same for machine learning on quantum hardware,” said Seth Lloyd, Xanadu’s chief scientific advisor, MIT professor and a founding figure in both quantum computing and quantum machine learning. “We’re going to see an explosion of ideas, now that everyone can train quantum computers like they would train deep neural networks.”

Xanadu is already a demonstrated industry leader in bringing machine learning and quantum computing together. Their Strawberry Fields software stack, released earlier this year, was the first quantum software to incorporate a simulator built with the machine learning library TensorFlow. This enabled the rapid prototyping and optimization of quantum circuits using existing machine learning tools.

Recognizing the need to also implement machine learning algorithms, which can scale as quantum computers grow in size, Xanadu created PennyLane from the ground up, envisioning it as the “TensorFlow of quantum computing.” Under the hood, PennyLane’s core feature is that it implements a version of the backpropagation algorithm – the workhorse for training deep learning models – that is naturally compatible with quantum devices.

As quantum computers grow more powerful, and as new vendors make their quantum hardware available over the next few years, PennyLane will integrate seamlessly. Thanks to a plugin system, PennyLane is able to interact with quantum computers from different companies (such as the IBM Quantum Experience) in a hardware-agnostic way. It can even combine quantum subroutines from different hardware together into a larger hybrid computation.

“We’re really thrilled to introduce PennyLane to the world,” said Nathan Killoran, head of development for PennyLane. “Even with ongoing intense R&D from groups at Xanadu and elsewhere, quantum machine learning is still a largely unexplored, fertile territory. By building a community around a common software platform, we will accelerate innovation in this exciting and important field.”

About Xanadu
Xanadu is a photonic quantum computing and advanced artificial intelligence company based in Toronto. Xanadu designs and integrates quantum silicon photonic chips into existing hardware to create truly full-stack quantum computing. Their methods will solve today’s toughest business problems significantly faster than ever imagined. For more information, visit www.xanadu.ai.

SOURCE Xanadu

Filed Under: Tech

Reader Interactions

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Footer

Recent Posts

  • DealHub Raises $100M to Redefine Enterprise Quote-to-Revenue
  • Preply Reaches $1.2B Valuation After $150M Series D to Scale Human-Led, AI-Enhanced Language Learning
  • Datarails Raises $70M Series C to Turn the CFO’s Office into an AI-Native Nerve Center
  • Emergent Raises $70M Series B as AI Turns Software Creation Into an Entrepreneurial Commodity
  • Fujifilm Introducing SX400: A Long-Range Camera Designed for the Real World
  • D-Wave Becomes the First Dual-Platform Quantum Computing Company After Quantum Circuits Acquisition
  • Wasabi Technologies Secures $70M to Fuel the Next Phase of AI-Ready Cloud Storage
  • Samsung Maintenance Mode: The Quiet Feature That Actually Changed How I Buy Phones
  • Miro AI Workflows Launch: From Whiteboard Chaos to Enterprise-Grade Deliverables
  • 10 Breakthrough Technologies of 2026

Media Partners

  • Market Analysis
  • Cybersecurity Market
Baseten Raises $300M to Dominate the Inference Layer of AI, Valued at $5B
Nvidia’s China Problem Is Self-Inflicted, and Washington Should Stop Pretending Otherwise
USPS and the Theater of Control: How Government Freezes Failure in Place
Skild AI Funding Round Signals a Shift Toward Platform Economics in Robotics
Saks Sucks: Luxury Retail’s Debt-Fueled Mirage Collapses
Alpaca’s $1.15B Valuation Signals a Maturity Moment for Global Brokerage Infrastructure
The Immersive Experience in the Museum World
The Great Patent Pause: 2025, the Year U.S. Innovation Took a Breath
OpenAI Acquires Torch, A $100M Bet on AI-Powered Health Records Analytics
Iran’s Unreversible Revolt: When Internal Rupture Meets External Signals
Lionsgate Network to Present AI-Powered Crypto Fraud Solutions at CyberTech Tel Aviv 2026
Cybertech 2026, January 26–28, Tel Aviv Expo
When Fraud Learns Faster Than Humans: The 2026 Wake-Up Call for Enterprise Finance
Fortinet Stock Rises as Wall Street Drops the AI Fear Narrative
Lumu’s 2026 Compromise Report: Why Cybersecurity Has Entered the Age of Silent Breaches
Novee Emerges from Stealth, 2025, Offensive Security at Machine Speed
depthfirst Raises $40M Series A to Build AI-Native Software Defense
Bitwarden Doubles Down on Identity Security as Passwords Finally Start to Lose Their Grip
Cloudflare App Innovation Report 2026: Why Technical Debt Is the Real AI Bottleneck
CrowdStrike Acquires Seraphic Security: Browser Security Becomes the New Cyber Frontline

Media Partners

  • Market Research Media
  • Technology Conferences
BBC and the Gaza War: How Disproportionate Attention Reshapes Reality
Parallel Museums: Why the Future of Art Might Be Copies, Not Originals
ClickHouse Series D, The $400M Bet That Data Infrastructure, Not Models, Will Decide the AI Era
AI Productivity Paradox: When Speed Eats Its Own Gain
Voice AI as Infrastructure: How Deepgram Signals a New Media Market Segment
Spangle AI and the Agentic Commerce Stack: When Discovery and Conversion Converge Into One Layer
PlayStation and the Quiet Power Center of a $200 Billion Gaming Industry
Adobe FY2025: AI Pulls the Levers, Cash Flow Leads the Story
Canva’s 2026 Creative Shift and the Rise of Imperfect-by-Design
fal Raises $140M Series D: Scaling the Core Infrastructure for Real-Time Generative Media
Humanoid Robot Forum 2026, June 22–25, Chicago
Supercomputing Asia 2026, January 26–29, Osaka International Convention Center, Japan
Chiplet Summit 2026, February 17–19, Santa Clara Convention Center, Santa Clara, California
HumanX, 22–24 September 2026, Amsterdam
CES 2026, January 7–10, Las Vegas
Humanoids Summit Tokyo 2026, May 28–29, 2026, Takanawa Convention Center
Japan Pavilion at CES 2026, January 6–9, Las Vegas
KubeCon + CloudNativeCon Europe 2026, 23–26 March, Amsterdam
4YFN26, 2–5 March 2026, Fira Gran Via — Barcelona
DLD Munich 26, January 15–17, Munich, Germany

Copyright © 2022 Technologies.org

Media Partners: Market Analysis & Market Research and Exclusive Domains, Photography