Neven’s law states that quantum computers are improving at a “doubly
exponential” rate. If it holds, quantum supremacy is around the corner.
Most
of you will be familiar with Moore's Law that predicts exponential growth in
computing power - a doubling every 18 months. In the world of Quantum
Computing, there is a law that predicts double exponential growth. What
does this mean ? Is it true ? Who made this law ?
1.1
Who is Neven?
Hartmut Neven is an Engineering Director at Google. He is the founder of the the Quantum AI Lab. The objective of this lab is to fabricate quantum processors and dvelop novel quantum algorithms to dramatically accelerate computational tasks for machine intelligence.
2
What does Neven’s Double Exponential Law mean?
Neven
said that quantum computers are gaining computational power relative to
classical ones at a “doubly exponential” rate — a staggeringly fast clip. With
double exponential growth, “it looks like nothing is happening, nothing is
happening, and then whoops, suddenly you’re in a different world,” Neven said. Even exponential growth is pretty fast. It means that
some quantity grows by powers of 2: 21,
22, 23,
24 – 2,4,8,16…. The first few
increases might not be that noticeable, but subsequent jumps are massive.
Moore’s law, the famous guideline stating (roughly) that computing power
doubles every two years, is exponential. Doubly exponential growth is far more
dramatic. Instead of increasing by powers of 2, quantities grow by powers of
powers of Doubly exponential growth is far more dramatic. Instead of
increasing by powers of 2, quantities grow by powers of powers of 2: 221,222,223,224 . 2exp2exp1,
2exp2exp2, 2exp2exp3, 2exp2exp3 – 4, 16, 256, 6536… !
1.3 What is the origin of the double
exponential rate?
The doubly
exponential rate at which, according to Neven, quantum computers are gaining on
classical ones is a result of two exponential factors combined with each other.
The first is that quantum computers have an intrinsic exponential advantage
over classical ones: If a quantum circuit has four quantum bits, for example,
it takes a classical circuit with 16 ordinary bits to achieve equivalent
computational power. This would be true even if quantum technology never
improved.
The second exponential factor comes from the rapid improvement
of quantum processors. Neven says that Google’s best quantum chips have recently been improving at an exponential rate. (This rapid
improvement has been driven by a reduction in the error rate in the quantum
circuits. Reducing the error rate has allowed the engineers to build larger
quantum processors, Neven said.) If classical computers require exponentially
more computational power to simulate quantum processors, and those quantum
processors are growing exponentially more powerful with time, you end up with
this doubly exponential relationship between quantum and classical machines.
1.4 BTW, What Is Quantum
Computing?
Quantum computing harnesses the rules
of quantum physics that hold sway over some of the smallest particles in the
universe in order to build devices very different from today’s “classical”
computer chips used in smartphones and laptops. Instead of classical
computing’s binary bits of information that can only exist in one of two
basic states, a quantum computer relies on quantum bits (qubits) that can exist
in many different possible states. It’s a bit like having a classical computing
coin that can only go “heads” or “tails” versus a quantum computing marble that
can roll around and take on many different positions relative to its “heads” or
“tails” hemispheres.
Because each qubit can hold many
different states of information, multiple qubits connected through quantum
entanglement hold the promise of speedily performing complex computing
operations that might take thousands or millions of years on modern
supercomputers. To build such quantum computers, some research labs have been
using lasers and electric fields to trap and manipulate atoms as individual
qubits.
More on Quantum Computing
Quantum Computing for the determined –
1.5 Quantum Supremacy
Google’s claim to
have demonstrated quantum supremacy—one of the earliest and most hotly
anticipated milestones on the long road toward practical quantum computing.
The leaked draft of Google’s paper likely
represents the first experimental proof of the long-held theoretical
premise that quantum computers can outperform even the most powerful modern
supercomputers on certain tasks, experts say.
1.6 Google’s Experiment on Quantum
Supremacy
Google’s experiment tested whether the company’s quantum
computing device, named Sycamore, could correctly produce samples
from a random quantum circuit—the equivalent of verifying the results from
the quantum version of a random number
generator. In this case, the quantum circuit consisted
of a certain random sequence of single-
and two-qubit logical operations, with up to 20 such operations (known as
“gates”) randomly strung together.
The
Sycamore quantum computing device sampled the random quantum circuit one
million times in just three minutes and 20 seconds. When the team simulated the
same quantum circuit on classical computers, it found that even the Summit supercomputer that is currently ranked as the most
powerful in the world would require approximately 10,000 years to perform the
same task.
Applications of Quantum Computing – a very good compilation
https://medium.com/@jackkrupansky/what-applications-are-suitable-for-a-quantum-computer-5584ef62c38a
If you wish to read more about this
topic - Scott Aaranson’s FAQ on Quantum Supremacy – https://www.scottaaronson.com/blog/?p=4317
Navin Kabra on understanding Quantum
Supremacy - https://www.linkedin.com/pulse/understanding-quantum-supremacy-navin-kabra/?trackingId=yM%2BxJ5Y7TsyDwSlx%2BTpvPA%3D%3D
Further Reading
Quantum Complexity Theory – Bernstein
& Vazirani
Free Will – Ilyas Khan -
Scott Aaranson’s Paul Bernay
Lectures - https://www.scottaaronson.com/blog/?p=4301
Quantum Computing & Information
Processing – Nielsen and Chuang – http://mmrc.amss.cas.cn/tlb/201702/W020170224608149940643.pdf
D-Wave’s Quantum Computing Primer –
Quantum Mechanics – Nobel Physics
Prize - https://medium.com/@jackkrupansky/nobel-physics-prize-lectures-related-to-quantum-mechanics-eb71cca69388
Quantum Computing - https://medium.com/@jackkrupansky/list-of-my-papers-on-quantum-computing-af1be336410e
Mobility - https://eandt.theiet.org/content/articles/2019/04/how-quantum-computers-are-transforming-travel/
Quantum Computing is the Future –
Jason Ball - https://www.youtube.com/watch?v=7hg5eaGpjDg
How Quantum Computers work –
Catalina Curceaunu https://www.youtube.com/watch?v=3xHVcKeuF5o
Quatum Computing – AI is here –
Geordie Rose (D Wave) - https://www.youtube.com/watch?v=PqN_2jDVbOU
Toward a Quantum World – Dario Gil
(IBM Research) - https://www.youtube.com/watch?v=yy6TV9Dntlw
Quantum Computing demystified –
Ilyas Khan - https://www.youtube.com/watch?v=43---kMJrlA
What Quantum Computing isn’t – Scot Aaronson
- https://www.youtube.com/watch?v=JvIbrDR1G_c
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ReplyDeleteNeven's Law of Double Exponential Growth is a phenomenon observed in the field of quantum computing that describes the rate at which the computational power of quantum computers is increasing. The law is named after Hartmut Neven, a scientist and engineer who worked at Google, where he led the Quantum Artificial Intelligence Lab.
ReplyDeleteThe law states that the computational power of quantum computers is doubling approximately every year and a half, which is a much faster rate of growth than the rate at which classical computers have been improving. Moreover, the growth of quantum computing power is not linear, but double exponential, meaning that the rate of growth itself is also increasing exponentially.
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