Lecture by Hartmut: Google Quantum AI

Introduction

Difference from Classical Computing
- Classical: Operates on binary logic (0s and 1s)
- Quantum: Uses laws of quantum physics for computation
- More powerful operations, fewer steps
Superposition: Key concept
- Objects exist in a superposition of many configurations
- Example: Coins in different states simultaneously

Multiverse Theory
- Quantum computing leverages the multiverse
- Computations farmed out to parallel universes
Search Task Example
- Classical: 1 million drawers, expect to open 500k to find item
- Quantum: Only 1,000 steps needed

Programming in Cirq (Python-based for quantum algorithms)
- Each line = qubit, Each box = operation
- Transmitted to data center in Santa Barbara
- Live feed of machines with 100+ qubits
Example Circuit
- Two-qubit circuit performing quantum search
- Finds item in database of four with a single call

Prepared Quantum States
- Publications in Nature, Science
- Examples: Tiny traversable wormholes, time crystals, non-abelian anyons
First Commercial Application in Development
- Quantum algorithm for signal processing
- Potential for electronic nose in phones/smartwatches
Road Map to Large Quantum Computer
- Goal: 1 million physical qubits
- Achievements: Beyond classical computation (2019), scalable quantum error correction (2023)
- Error rate improvement: From 1 in 1,000 to 1 in a billion or less

Potential Applications
- Simulation of quantum systems for medicine and materials
- Optimization for engineering, finance, machine learning
- AI advancements
Quantum Neurobiology
- Exploring consciousness via quantum information science
- Expanding human consciousness

Progress and Vision
- Building the world’s first useful quantum computer
- Future applications to solve today’s unsolvable problems

Closing: Thank you (Applause)