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The 3 Types of Quantum Computers and Their Applications



The 3 Types of Quantum Computers and Their Applications

The 3 Types of Quantum Computers and Their Applications

It’s an exciting time in computing.

Just days ago, Google’s AlphaGo AI took an insurmountable lead in the 3,000 year-old game of Go against the reigning world champion, Lee Sedol. In a five-game series, the score is now 3-1 for the machine with one game left on March 15, 2016 in Seoul, South Korea.

While IBM’s Deep Blue beat reigning chess champion Garry Kasparov in 1997 by using brute force, Go is a game with more possible moves than atoms in the known universe (literally). Therefore, the technology doesn’t yet exist to make such calculations in short amounts of time.

Google had to take a different approach: to beat the grand master, it needed to enable AlphaGo to self-improve through deep learning.

AlphaGo’s historical decision is a milestone for artificial intelligence, and now the technology community is anxiously waiting to see what’s next for AI. Some say that it is beating a human world champion at a real-time strategy game such as Starcraft, while others look to quantum computing – technology that could raise the potential power of AI exponentially.

What is Quantum Computing?

While everyday analog computing is limited to having a single value of either 0 or 1 for each bit, quantum computing uses quantum bits (qubits) that are simultaneously in both states (0 and 1) at the same time.

The consequence of this superposition, as it’s called, is that quantum computers are able to test every solution of a problem at once. Further, because of this exponential relationship, such computers should be able to double their quantum computing power with each additional qubit.

Qubits explained
Image credit: Universe Review

Types of Quantum Computers

There are three types of quantum computers that are considered to be possible by IBM. Shown in the above infographic, they range from a quantum annealer to a universal quantum.

The quantum annealer has been successfully developed by Canadian company D-Wave, but it is difficult to tell whether it actually has any real “quantumness” thus far. Google added credibility to this notion in December 2015, when it revealed tests showing that its D-Wave quantum computer was 3,600 times faster than a supercomputer at solving specific, complex problems.

Expert opinion, however, is still skeptical on these claims. Such criticisms also shed light on the major limitation of quantum annealers, which is that they may only be engineered to solve very specific optimization problems, and have limited general practicality.

The holy grail of quantum computing is the universal quantum, which could allow for exponentially faster calculations with more generality.

However, building such a device ends up posing a number of important technical challenges. Quantum particles turn out to be quite fickle, and the smallest interference from light or sound can create errors in the computing process.

Doing calculations at exponential speeds is not very useful when those calculations are incorrect.

The Market and Applications

IBM highlights just some of the possibilities around universal quantum computers in a recent press release:

A universal quantum computer uses quantum mechanics to process massive amounts of data and perform computations in powerful new ways not possible with today’s conventional computers. This type of leap forward in computing could one day shorten the time to discovery for life-saving cancer drugs to a fraction of what it is today; unlock new facets of artificial intelligence by vastly accelerating machine learning; or safeguard cloud computing systems to be impregnable from cyber-attack.

This means that quantum computing could be a trillion dollar market, touching massive future markets such as artificial intelligence, robotics, defense, cryptography, and pharmaceuticals.

However, until a universal quantum can be built, the market remains fairly limited in size and focused on R&D. Quantum computing is expected to surpass a market of $5 billion market by 2020.

As a final note: its worth seeing where quantum computing sits on Gartner’s emerging technology hype cycle:

Tech hype cycle

Gartner still describes it as being “10 years or more” away from reaching the plateau.

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Ranked: The Top Startup Cities Around the World

Here are the global startup ecosystem rankings, highlighting the scale and maturity of major tech hubs worldwide.



This bar chart shows the top startup ecosystems in the world in 2024.

The Top Startup Cities Around the World

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

A richly connected network of founders, venture capital firms, and tech talent are some of the key ingredients driving a startup ecosystem.

As engines of growth, these tech clusters are evolving on a global scale. While the world’s leading startup cities are concentrated in America, several ecosystems, such as Beijing and Seoul, are growing in prominence as countries focus on technological advancement to spur innovation.

This graphic shows the best startup cities worldwide, based on data from Pitchbook.

The Global Startup Ecosystem Rankings

To determine the rankings, each city was analyzed based on the scale and maturity of their startup ecosystem over a six-year period ending in the second quarter of 2023.

Among the inputs analyzed and used to calculate the overall development score were fundraising activity, venture capital deals, and exit value:

RankCityDevelopment ScoreCapital RaisedDeal CountExit Value
1🇺🇸 San Francisco90$427.6B19,898$766.3B
2🇺🇸 New York76$179.9B13,594$171.7B
3🇨🇳 Beijing76$161.2B8,835$279.2B
4🇨🇳 Shanghai73$130.3B7,422$186.8B
5🇺🇸 Los Angeles71$144.6B9,781$181.4B
6🇺🇸 Boston70$117.0B6,044$172.8B
7🇬🇧 London64$99.0B11,533$71.9B
8🇨🇳 Shenzhen63$46.4B5,020$66.3B
9🇰🇷 Seoul61$31.1B6,196$71.0B
10🇯🇵 Tokyo60$26.2B5,590$28.0B
11🇨🇳 Hangzhou59$50.7B3,361$88.7B
12🇺🇸 Washington D.C.55$43.7B2,706$28.2B
13🇺🇸 Seattle54$31.7B2,693$35.6B
14🇸🇬 Singapore52$45.7B4,507$38.0B
15🇺🇸 San Diego52$33.5B2,023$44.7B
16🇺🇸 Austin52$26.4B2,636$22.9B
17🇨🇳 Guangzhou52$24.7B1,700$24.0B
18🇮🇱 Tel Aviv51$21.0B1,936$32.2B
19🇺🇸 Denver51$26.8B2,489$29.9B
20🇩🇪 Berlin50$31.2B2,469$15.9B

San Francisco dominates the pack, with $427.6 billion in capital raised over the six-year period.

Despite a challenging funding environment, nearly 20,000 deals closed, highlighting its outsized role in launching tech startups. Both OpenAI and rival Anthropic are headquartered in the city, thanks to its broad pool of tech talent and venture capital firms. Overall, 11,812 startups were based in the San Francisco Bay Area in 2023, equal to about 20% of startups in America.

Falling next in line is New York City, which raised $179.9 billion over the same time period. Crypto firm Gemini and machine learning company, Hugging Face, are two examples of startups based in the city.

As the top-ranking hub outside of America, Beijing is home to TikTok’s parent company, ByteDance, which is one of the most valuable private companies in the world.

In recent years, much of the startup funding in China is being driven by government-backed funds. In particular, these funds are focusing heavily on “hard tech” such as semiconductor-makers and electric vehicle companies that align with the government’s strategic long-term goals.

Another leading tech hub, Singapore, has the highest venture capital funding per capita worldwide. In 2023, this was equal to an impressive $1,060 in venture funding per person. By comparison, venture funding was $345 per person in the U.S., the second-highest globally.

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