quantum computing

[chris macrae]

amazibg Consider this: back in 2019, it took Google’s Sycamore quantum computer 200 seconds to complete a task that, according to Google estimations, would take today’s fastest classical supercomputer 10,000 years to complete.

[chris macrae]

however this conversation with bard clarifies that quantums prefer databases that are static not networking in updating data   thus llms not imminently lilkely to use quantum  

Are you bard and other web3 gateway LLMs mainly using quantum computing?

No, Bard and other large language models (LLMs) are not mainly using quantum computing. LLMs are trained on massive datasets of text and code, and they use this data to learn how to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.

Quantum computing is a new and emerging technology that is still in its early stages of development. Quantum computers use quantum bits, or qubits, to perform calculations. Qubits can be in a superposition of states, which means that they can be in multiple states at the same time. This allows quantum computers to perform calculations that are exponentially faster than traditional computers.

LLMs are not currently able to take advantage of the power of quantum computing. This is because the datasets that LLMs are trained on are too large to be processed by quantum computers. However, as quantum computers become more powerful and more accessible, it is possible that LLMs will be able to use them to perform even more complex and challenging tasks.

Here are some of the challenges that need to be addressed before LLMs can be used with quantum computing:

• The need for larger datasets: LLMs are trained on massive datasets of text and code. These datasets need to be large enough to allow the LLM to learn the patterns and relationships that exist in language. Quantum computers are not currently able to process datasets of this size.
• The need for more efficient algorithms: The algorithms that LLMs use to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way are not currently efficient enough to be run on quantum computers. Quantum computers require algorithms that are specifically designed for them.
• The need for more powerful quantum computers: Quantum computers are still in their early stages of development. They are not yet powerful enough to perform the types of calculations that LLMs require. As quantum computers become more powerful, they will become more suitable for use with LLMs.

Despite these challenges, there is a lot of potential for the use of quantum computing with LLMs. Quantum computers could be used to train LLMs on even larger datasets, which would allow them to learn even more complex patterns and relationships. Quantum computers could also be used to speed up the generation of text, translation, and other tasks that LLMs perform.

I hope this answers your question.

I dont really understand - i thought quantum calculation capacity would make them better on large datasets- is there an issue that quantum is not most effective when parts of your huge database are updating perhaps through networks of computers rarher than one quantum?

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You are right that quantum computers can be very effective for processing large datasets. This is because they can perform calculations that are exponentially faster than traditional computers. However, quantum computers are not currently able to process datasets that are constantly updating.

This is because quantum computers require a very stable environment in order to function properly. When a dataset is constantly updating, it can create vibrations that can interfere with the quantum computer's calculations.

There are a few ways to address this challenge. One way is to use quantum error correction. Quantum error correction is a technique that can help to reduce the impact of errors that occur during quantum calculations. Another way to address this challenge is to use quantum annealing. Quantum annealing is a technique that can be used to find the optimal solution to a problem.

As quantum computers become more powerful and more accessible, it is possible that they will be able to process datasets that are constantly updating. However, for now, quantum computers are best suited for processing large datasets that are not constantly updating.

Here are some additional details about the challenges of using quantum computers for large datasets:

• The need for a stable environment: Quantum computers are very sensitive to noise. This means that they need to be operated in a very stable environment. Any vibrations or disturbances can cause errors in the quantum computer's calculations.
• The need for error correction: Quantum computers are not perfect. They can make mistakes during calculations. Error correction is a technique that can be used to reduce the impact of these errors. However, error correction is not always perfect. It can also introduce errors into the calculations.
• The need for efficient algorithms: Quantum computers are not yet as efficient as traditional computers for many tasks. This is because quantum algorithms are still under development. As quantum algorithms become more efficient, quantum computers will become more suitable for processing large datasets.

Despite these challenges, there is a lot of potential for the use of quantum computers for large datasets. Quantum computers could be used to process large datasets that are too complex for traditional computers. This could lead to new insights into a wide range of fields, including biology, chemistry, and physics.

[chris macrae]

from

https://www.wilsoncenter.org/blog-post/games-round-quantum-computing

Part of theSTIP & AI: PAST WORK

BLOG POST

Games Round Up: Quantum Computing

By Morgan Livingston & Richard Liu on August 17, 2020

SERIOUS GAMES INITIATIVE

SCIENCE AND TECHNOLOGY INNOVATION PROGRAM

SCIENCE AND TECHNOLOGYSERIOUS GAMESEDUCATION

IMAGE CREDIT

Quantum computers promise a novel method of information processing much faster than "classical" computers. In 2019, a quantum computer completed in 200 seconds a task that classically takes 10,000 years. This exponential increase in speed has potential to upend encryption critical to national security, solve optimization problems for artificial intelligence and even advance research on undiscovered drugs. Speed means that computational tasks can be accomplished faster and more precisely than ever before. There are still significant research obstacles to overcome -- and supporting progress in quantum computing has become a $1.2 billion White House priority as well as an international policy focus. 

Quantum computing is inherently interdisciplinary, bringing together research from fields including computer science, physics and mathematics. Approaching this complexity requires a diversity of thought and talent. Whereas traditional computers store data in binary bits with a value of either 0 or 1, quantum computers leverage properties of atomic and subatomic particles, storing data in quantum bits called qubits. Qubits operate according to the principles of quantum physics, requiring researchers to apply high levels of math and physics, develop new methods of computer programming, and design novel hardware.  

That only scratches the surface of quantum, and breaking down its core concepts has turned into an epic endeavor -- one being tackled in games. Games are a particularly useful tool for understanding abstract STEM concepts, incorporating visual cues and active participation shown to help people understand quantum principles. The following examples are how some quantum experts are leveraging games for non-expert audiences, both in explaining the core concepts of quantum as well as crowdsourcing quantum research.

Exploring Quantum Principles

Hello Quantum

Hello Quantum, produced by IBM by Dr. James Wootton, teaches the player how to manipulate qubits and builds intuition on the logic to code programs for quantum computers. Designed for non-experts, the puzzle game combines the simplicity of Sudoku with the fun user interaction of Pinball. The goal is to match a specified pattern by changing the position and color of circles on a grid. The grid represents a pair of qubits and the color of the circles indicates their state, either “on” (white), “off” (black) or “random” (clear). As the player progresses, they discover not only different controls to manipulate qubits, but also the properties of qubit interactions -- like the uncertainty of qubits that have not yet been measured. Tutorials along the way offer explanations on the quantum computing principles.

(Free, Available for Android on GooglePlay and for iOS on the AppStore)

Quantum Cats

The worlds’ kittens have been captured and the Quantum Cats are on a mission to bring them back. In the angry-birds inspired game by the Institute for Quantum Computing at the University of Waterloo, the player slingshots cats imbued with quantum powers to break open boxes containing their kittens. Launching different members of the feline team into the air allows the player to explore quantum principles: Classy (the cat) hurtles through space following the laws of classical physics, Schrö can be in multiple places at the same time mimicking the ability of qubits in superposition to hold multiple possible values simultaneously, Digger can pass through barriers mimicking wave-like quantum behavior, and Fuzzy collides with random targets mimicking Heisenberg’s uncertainty principle. The contrast in the behaviors of the cats helps players learn about the differences between classical and quantum physics. In 2017, Quantum Cats was featured in the world’s first Quantum Game Cafe in Aarhus, Denmark, where visitors could enjoy their coffee while playing a variety of games related to quantum.

(Free, Available for Android on GooglePlay and for iOS on the AppStore)

Quantum Chess

Discover a whole new way to checkmate your opponent. Quantum Chess, designed in 2016 by Chris Cantwell in collaboration with California Institute of Technology’s Institute for Quantum Information and Matter, is a variation of chess that incorporates quantum moves. The game is intended to give the widest possible audience an intuitive understanding of quantum behavior while having fun. Quantum Chess is one of several projects that modify the rules of existing games, such as TiqTaqToe or Minesweeper, to incorporate quantum principles. In Quantum Chess, pieces can occupy multiple squares simultaneously or become entangled, tying their fates to one another. Quantum Chess gained millions of views in a National Science Foundation funded video featuring a quantum chess match between Stephen Hawking and actor Paul Rudd.

($9.99. Available on PC/Linus/Mac through Steam. Rating pending from the ESRB.)

Contributing to Quantum Research

The ScienceAtHome team at Aarhus University’s Department of Physics and Astronomy uses games to allow new audiences to participate in groundbreaking research, without needing a PhD. ScienceAtHome games such as Quantum Moves or Quantum Minds are citizen science projects, using the data generated by public game play to inform science experiments on quantum computing and machine learning.

Quantum Moves 2 gameplay from ScienceAtHome on Vimeo.

Quantum Moves 2

You can now contribute to groundbreaking quantum research from your living room! ScienceAtHome’s Quantum Moves 2 allows players to control the movement of atoms at the core of qubits - from the comfort of their computer. The gamified citizen science project represents the wave-like behavior of the atoms as a sloshy liquid that moves according to quantum wave patterns. The player’s mouse movement simulates moving a laser “tweezer” to manipulate the wave into a target shape within a tight time limit. Each player’s solution in Quantum Moves 2 is sent to a team of researchers as data that they then use to optimize their actual manipulation of qubits to further research on quantum computing. The game not only collects data for research, but also introduces players to the strangeness of quantum mechanics “without any brutal equations”. Already, player efforts in the original Quantum Moves have led to breakthroughs by demonstrating that human decision-making can be superior to complex equations for solving challenges in quantum computing. 

(Free. Available on Mac and PC. Age rating unlisted.) 

Where will Quantum Games go next?

Educational games for quantum computing break down quantum principles so audiences without scientific backgrounds can explore the concepts in a fun environment, as well as involve them in research for quantum solutions. While the first quantum game was built only 3 years ago, the number and reach of quantum games is rapidly growing, gaining participation through Quantum Game Cafes, quantum hackathons, a quantum game course, and even features in the Davos 2019 World Economic Forum. 

Not all games need to be digital. In the game Bas|ket>ball, players act as qubits taking positions on a physical basketball court according to quantum principles. The game was developed to introduce principles of quantum physics to female high school students, and is now being developed with IBM. Game initiatives like Bas|ket>ball can be instrumental to increasing the diversity of people with access to quantum computing, and does not require access to computers.

Future concerns may also focus beyond baseline accessibility; games can be used for skill-development. In Hello Quantum, for example, players unknowingly execute the operations of Linear Algebra, a subject normally only accessible to college STEM majors, but foundationally to the coding for quantum computing. By combining the accessibility of a fun game environment, skill development through gamified problem-solving, and targeted outreach, future games can support the education pipeline for quantum computing.