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Quantum computing

The latest AI news we announced in May 2026 Our new initiative to apply quantum science and AI to the life sciences Quantum frontiers may be closer than they appear Building superconducting and neutral atom quantum computers The quantum era is coming. Are we ready to secure it? The 7 finalists in the XPRIZE Quantum Applications competition Our Quantum Echoes algorithm is a big step toward real-world applications for quantum computing Our quantum hardware: the engine for verifiable quantum advantage We’re scaling quantum computing even faster with Atlantic Quantum. 3 real-world problems that quantum computers could help solve Quantum computing education for global policy leaders Meet Willow, our state-of-the-art quantum chip A quantum computing partnership with the University of Chicago and the University of Tokyo How Google is celebrating World Quantum Day Our progress toward quantum error correction Our new Quantum Virtual Machine will accelerate research and help people learn quantum computing World Quantum Day: Meet our researchers and play The Qubit Game 2021 Year in Review: Google Quantum AI Ask a Techspert: What exactly is a time crystal? Computing takes a quantum leap forward
Answering your trending questions on World Quantum Day
The Google Quantum AI Team · 2026-04-14 · via Quantum computing

Today’s Google Doodle celebrates World Quantum Day 2026 — and our team is explaining what makes quantum computing so exciting in a new video.

General summary

Quantum computers can solve complex problems that normal computers can't. Google Quantum AI uses the principles of quantum mechanics to build these computers. Check out the Google Quantum AI Team's discussion of top questions and their latest progress.

Summaries were generated by Google AI. Generative AI is experimental.

Bullet points

  • "Answering your trending questions on World Quantum Day" explains Google's quantum computing mission.
  • Quantum computers use qubits, which can be 0, 1, or a combination, unlike regular bits.
  • Google's working on systems to protect qubits from "decoherence," or losing quantum information.
  • Quantum computers could solve problems like drug discovery that are too hard for regular computers.
  • Google Quantum AI experts answer common questions about quantum computing and its potential.

Summaries were generated by Google AI. Generative AI is experimental.

Basic explainer

Google's Quantum AI team works on quantum computers. They think these computers can solve really hard problems that normal computers can't. A big challenge is keeping the quantum information safe from errors. Google experts answered popular questions about how quantum computers work and why we need them.

Summaries were generated by Google AI. Generative AI is experimental.

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This content is generated by Google AI. Generative AI is experimental

[[duration]] minutes

The discovery of quantum mechanics fundamentally changed how we understand the natural world. In 1981, physicist Richard Feynman famously observed that because nature is quantum, we would eventually need to build computers that operate on those same principles to truly understand it. Building these computers remains one of the greatest engineering challenges of our era.

At Google Quantum AI, our mission is to develop quantum computing for these complex, currently unsolvable problems. We believe large-scale, error-corrected quantum computers will be the key to unlocking certain solutions for real-world problems — from discovering more sustainable materials to accelerating drug discovery — that are beyond the reach of classical computers today.

Our focus remains on the long-term journey: moving from experimental physics to the reliable, stable systems necessary to provide these breakthroughs for everyone.

Visualizing the state of the qubit

Today’s Google Doodle marks World Quantum Day by incorporating the Bloch Sphere into our logo. In quantum mechanics, the Bloch Sphere is a geometric representation of the state space of a two-level quantum system, or qubit.

Unlike a classical bit, which is restricted to a binary state of 0 or 1, a qubit can exist in a combination of both. This is represented as a point on the Bloch Sphere, allowing for a much larger computational state space than traditional computing.

A major hurdle today is maintaining these delicate states. Interaction with the environment causes "decoherence," where quantum information is lost to noise. Our current work is centered on building systems that can protect this information long enough to perform meaningful computations.

Answering your top-trending questions

Why do we need quantum computers? How do they reach the right answers so quickly? And what does that have to do with interference?

We sat down with Google Quantum AI experts Jenna and Andrew to tackle the world’s most-searched questions about quantum computing.

Learn more about our latest progress in quantum computing at quantumai.google.

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