I'm Hartmut. I lead Google Quantum AI. I have been working on quantum computing since 2012. And let me tell you why this is so intriguing. Today's computers, like your laptop or a server at a Google data center, operate on the binary logic of zeros and ones. A quantum computer like this one replaces the binary logic with the laws of quantum physics that gives it more powerful operations, allowing it to perform certain computations with way fewer steps. So where does this superpower come from? Quantum computing is the first technology that takes the idea serious that we live in a multiverse. It can be seen as farming out computations to parallel universes. Let me explain. In quantum physics, the key mathematical object to describe many worlds is called superposition. To understand what it is, let's look at this simple system. You just need three bits to describe it. Each coin is a two-state system.

Heads or tails, zero or one. We look at a start state. If I were to know which forces
act on the system, then I can predict its trajectory
and future states. This is how we reason in classical physics,
and also in everyday life. But if you were to treat
this as a quantum system, then it can branch into many
configurations simultaneously. And we have to keep track
of all those trajectories, interfere them to make
an accurate prediction of what states we are going
to see in the future. So the equations of quantum mechanics tell us that at any time, any object, myself or the world at large, exists in a superposition
of many configurations. Intriguingly, look around in this room. We are forming a configuration too. And the equations of quantum
physics would suggest that we sit in different
arrangements in different worlds. This superpower
can be applied to computation. Picture a search task.

By envisioning a very tall closet
with a million drawers, I place an item in one of the drawers. How many drawers do you have
to open to find the item? On average, it will be half a million, but if you had access
to a quantum algorithm, it would only be 1,000 steps
to find the item. How in the world can this be? Indeed, it cannot be in a single world. So here you see a good example of how quantum computing
can attain an advantage by performing computations
in parallel worlds. Let me show you how to use
a quantum computer in practice. So here you see a program in Cirq, or Python-based programming language
to express quantum algorithms. It looks like sheet music. Each line represents a qubit, and each box represents an operation. When I hit return, then it gets transmitted
to our data center in Santa Barbara. Here you actually see
a live feed of one of our machines.

Actually, our most powerful quantum
computers now have over 100 qubits. There, the operations
get translated into waveforms, electrical pulses that control the qubits. You see how the waveforms change
as I change the circuit. So this is a simple two-qubit circuit
performing quantum search. For the programmers among you, please note how I find one item
in a database of four by only doing a single call
to the database. This is something you could not do
on an ordinary computer. So what can you do
with quantum computers today? We have prepared
interesting quantum states and studied their properties. This has led to dozens of publications in high-impact journals
like Nature or Science. Actually, I like to think of it
as creating little pieces of magic. For example, one state we prepared can be thought of as spawning
a tiny traversable wormhole. We can use it to learn
about the physics of wormholes.

We can throw a qubit in and see how it reappears on the other side. We made time crystals. That's a cool word, isn't it? Like, who doesn't want to have a time crystal as an earring? Time crystals have amazing physical properties. They change periodically in time without ever exchanging energy with the environment. That's the closest to a perpetual mobile that the laws of physics allow you to get. Or a final example, non-abelian anyons. This is a mouthful, but these are systems that change the overall properties when exchanging two identical parts, something humans have never seen before. Because envision a little house made of Lego bricks and envision swapping two bricks that look identical. In everyday life, you would not notice a difference, but quantum physicists had predicted that systems can exist, that exchange or change their properties when you exchange two identical parts. To date, nobody has performed a practical application that can only be done on a quantum computer.

Despite what you may have read in the press, today, I'm excited to tell you that we are completing the design of an algorithm that may lead to the first commercial applications. This quantum algorithm performs signal processing to enable new ways to detect and analyze molecules using nuclear electronic spin spectroscopy. In time, this may lead to exciting consumer applications. Envision a device akin to an electronic nose in your phone or smartwatch. Wouldn't it be awesome if your phone could warn you that you stepped into a room with dangerous viruses? Or if your smartwatch could detect free radicals in your bloodstream and tell you it's time to drink your acai juice, or warn you of allergens in food or many other truly helpful use cases. To unlock more applications, you will need to build a large error-corrected quantum computer. Here you see our roadmap: How to build a computer with a million physical qubits.

It consists of six milestones, and we achieved already the first two. Prior to 2019, nobody had shown a beyond classical computation on a quantum computer. We were the first to demonstrate it. Our chip could perform a computation that the then-fastest supercomputer would have needed 10,000 years to do. But recently, we repeated this experiment. And now, Frontier, today's top supercomputer, would need one billion years to perform this computation. This dramatic growth in compute power corroborates Neven's Law, which says that the power of quantum computers will grow at a double exponential rate. In 2023, we achieved the second milestone. We demonstrated again for the first time that quantum error correction is a scalable technology. Error correction sounds boring, but it's crucial. Today, our two-qubit operations have an error rate of 1 in 1,000. That means that in every 1,000 steps or so,

the quantum computer will crash. To improve this, we combine many physical qubits
to a logical qubit to reduce the error rate
to 1 in a billion or even less. We are about halfway through our road map, and we are optimistic
that we will complete it before the end of this decade. We have done analytical
and numerical studies to predict which algorithms
will be impactful on such a large quantum computer. A class of applications we like
and we call Feynman's killer app, is the simulation of systems
where quantum effects are important. This is relevant for designing
more effective, more targeted medicines. Specifically, we have worked
with a pharmaceutical company on algorithms to describe cytochrome P450. This group of enzymes metabolizes
about 75 percent of the drugs we take. Or the design of lighter,
faster-charging batteries that can hold a larger charge
for electric cars or even electric airplanes. Or to hasten the design of fusion reactors
to help with climate change.

arguably humanity's most urgent challenge. A recent result is a novel algorithm that delivers significant speed up
for optimization. This is a big deal because optimization
problems are ubiquitous in engineering, finance,
or machine learning. A way to think about this
result is in the future, when an AI will play chess
or Go against the quantum AI, the quantum AI will win. This result shows that quantum computers will become a must-have capability to serve foundational computational tasks. I'm also very interested
in the intersection of physics and neurobiology. Quantum information science may enable us to answer
one of humanity's deepest questions: What creates conscious experience? An attractive conjecture
is that consciousness is how we experience the emergence of a single classical world out of the many
the multiverse is composed of. With academic collaborators, I have started a program
to experimentally test this conjecture using methods of quantum neurobiology. If our conjecture is correct, this would allow us to expand
human consciousness in space.

time and complexity. In conclusion, we are making steady progress towards building the world's first
useful quantum computer and applying its enormous power
to important challenges. A quantum computer will be
a gift to future generations, giving them a new tool to solve problems
that today are unsolvable. Thank you. (Applause)

Quantum Computers Aren’t What You Think — They’re Cooler | Hartmut Neven | TED

The TED Talks channel features the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and more. You're welcome to link to or embed these videos, forward them to others and share these ideas with people you know.

TED's videos may be used for non-commercial purposes under a Creative Commons License, Attribution–Non Commercial–No Derivatives (or the CC BY – NC – ND 4.0 International) and in accordance with our TED Talks Usage Policy: https://www.ted.com/about/our-organization/our-policies-terms/ted-talks-usage-policy. For more information on using TED for commercial purposes (e.g. employee learning, in a film or online course), please submit a Media Request at https://media-requests.ted.com