In recent years technological advances have gone from strength to strength. Quantum computing is an exciting area of innovation. This is because whereas traditional computers store information using binary bits (0/1) quantum computers use quantum bits also known as qubits. These can exploit quantum phenomena such as superposition and entanglement to perform calculations in different ways.
This year there have been many key advances made in quantum computing. Some of the key ones include the announcement of Google’s Willow quantum chip, Microsoft partnering with Quantinuum, IBM improving their Heron processor, and quantum error correction using artificial intelligence.
We will look at the latest breakthroughs in quantum computing in this article. We will understand why they are important, learn about their potential applications, and see what they mean for the future of technology.
What is Quantum Computing?
Quantum computing is an advanced form of computing that utilise quantum mechanics principles. Whereas traditional computers use binary bits to store information (0/1), quantum computers use qubits. These qubits can be in a combination of states.
There are a few key principles of quantum computing:
-
Superposition
This means that qubits can be in a combination of 0 and 1 states until measured. This creates new ways of processing information.
-
Quantum Entanglement
Quantum entanglement is a quantum phenomenon where 2 or more qubits become connected.
-
Quantum Interference
This helps quantum algorithms boost the chances of getting useful answers and reduce the chances of getting unwanted results.
This means that quantum computers have great potential for solving specific problems relating to chemistry, materials science, optimisation, and cryptography.
Latest Breakthroughs in Quantum Computing in 2024
This year there have been many key advances in quantum technology. Here are some of the key breakthroughs:
-
Google Willow Quantum Chip
In December 2024 Google made one of the biggest announcements in quantum computing. They announced the Willow quantum chip.
This has 105 physical qubits. They showed incredible advancements in quantum error correction. One of the most important things they achieved was demonstrating that encoded quantum errors can reduce exponentially as the size of the error correcting system increases.
They tested progressively more qubits showing that they can reduce errors.
They also claimed that they completed the random circuit sampling benchmark in under 5 minutes. However, Google estimated that a top supercomputer would take around 10 septillion years to complete the benchmark.
This is a key advancement in Quantum Computing
Although this benchmark isn’t really applicable to real life.
It is however a key step forward in creating larger and more reliable quantum computers.
-
Microsoft and Quantinuum Create Reliable Logical Qubits
Microsoft and Quantinuum made another key breakthrough in quantum computing.
They announced in April 2024 that they had successfully created four logical qubits with high reliability using 30 physical qubits from Quantinuum’s ion trap quantum computer.
This was a big achievement as they showed that they could improve logical error rates by around 800 times.
Logical qubits are created by combining multiple physical qubits. Error detection and correction techniques are used to protect the quantum information.
This has shown that quantum error correction can greatly improve computing reliability.
In September 2024 they announced another advancement in creating 12 reliable logical qubits. They also performed more fault tolerant computing.
This brings researchers closer to creating quantum systems that can perform more complex calculations.
-
IBM Improve Heron Quantum Processor
IBM made some incredible advancements this year.
They continued to improve their Heron quantum processor. This new processor has 156 qubits and aims to improve the performance of the hardware, reduce errors, and speed up quantum circuits.
They also stated that they had improved their quantum computing performance. They have increased the speed of circuits and improved two qubit gates.
They also had a big advancement in linking quantum chips together.
These advancements are important as you need more than just increasing the number of qubits to create a powerful quantum computer. You need to improve the connection between them, keep them stable, and reduce errors.
This shows that developing scalable hardware and software is very important.
-
Quantinuum 56 Qubit Computer
In June 2024 Quantinuum announced another key advancement. They announced the H2-1 trapped ion quantum computer with 56 qubits.
This became a big deal as it has a large number of qubits and high fidelity operations.
They partnered with JPMorgan Chase to run a random circuit sampling experiment. This showed a large improvement over previous benchmarks.
They claimed that they had a 100x improvement over the previous industry benchmark.
This shows how important it is to improve the quality of the qubits and overall processor design.
Trapped ion is an interesting technology as it uses charged atoms which are controlled using laser based techniques. This can offer some great advantages to connecting qubits.
-
Quantum Error Correction using Artificial Intelligence
Artificial intelligence played a big role in quantum computing this year.
One of the biggest advancements was AlphaQubit. This is a neural network based quantum error correcting decoder created by Google DeepMind and Google Quantum AI.
Quantum computers are very sensitive to external disturbances. This can cause errors in the system.
AlphaQubit uses machine learning techniques to detect quantum information errors more accurately.
This is important as error correction can become more challenging with larger quantum systems.
Why are quantum computing Breakthroughs Important?
The advancements made this year are important as they overcome some of the biggest challenges to making quantum computers practical.
Here are some reasons why:
-
Improved Computing Performance
Quantum computers may be able to solve some complex problems quicker. Improving the processors and algorithms can help researchers explore this.
-
Improved Accuracy
Quantum error correction can help reduce errors in computing. Having more reliable logical qubits is vital for performing long and complex calculations.
-
Scientific Research
Quantum computers can help scientists simulate complex chemical reactions, explore new materials, and understand physical systems.
-
Technological Innovation
Improving quantum hardware, software and control can create new opportunities for research institutions, technology companies and industries.
Practical Applications of Quantum Computing
Although quantum computing is still in development, researchers are looking into some areas where it can provide significant benefits.
-
Healthcare and Drug Discovery
Quantum computing can help simulate molecular interactions and complex chemical structures.
This could help with drug discovery, pharmaceutical research, and new medical treatments.
However this will require more scientific validation.
-
Financial Services
The finance industry are very interested in quantum computing. This is because it can be used for optimising portfolios, analysing risks, and complex financial modelling.
Eventually quantum algorithms could provide new ways of solving optimisation problems.
-
Artificial Intelligence
Quantum computing and artificial intelligence are both fast developing technologies.
Researchers are looking into how quantum systems can improve specific machine learning, optimisation and scientific computing processes.
However there hasn’t been any general improvements over traditional AI systems.
-
Cybersecurity and Encryption
Quantum computing can have huge implications for cybersecurity.
If a powerful fault tolerant quantum computer was created it could pose a threat to public key encryption systems that are widely used. Some of these rely on integer factorisation and discrete logarithms.
Because of this organisations are looking more into post-quantum cryptography. This is designed to be resistant to attacks from both classical and quantum computers.
-
Energy and Material Science
Eventually quantum computers could help scientists understand complex materials and chemical processes.
This could help with researching new batteries, energy storage, advanced materials, and catalysts.
This could help improve future energy technologies and industrial research.
Major Challenges Facing Quantum Computing
There are still some challenges with quantum computing.
-
Quantum Errors
Qubits are very sensitive to external disturbances. Keeping the quantum information accurate is one of the biggest challenges.
-
High Development Costs
Creating quantum processors requires specialised equipment, state of the art labs, and highly skilled researchers. This makes it expensive to develop.
-
Low Temperatures
Many superconducting quantum computers require very low temperatures. This requires specialised cooling equipment.
-
Not Many Practical Applications
Many quantum computers can perform impressive research but aren’t currently able to outperform traditional computers in everyday computing.
-
Scalability
Creating a quantum computer with thousands or millions of reliable physical qubits is a huge engineering challenge. Researchers will need to improve the connections, error correction, and stability of the hardware.
Future of Quantum Computing After 2024
The breakthroughs made this year have provided a solid foundation for future quantum technology.
Researchers are now focusing on improving logical qubits, making more reliable processors, developing advanced quantum algorithms, and creating systems that can work with traditional supercomputers.
In the coming years quantum computing research may help improve:
- Advanced drug discovery and molecular simulations.
- New materials and chemical engineering.
- More efficient optimisation systems.
- Scientific modelling and energy research.
- Post-quantum cybersecurity.
- Hybrid quantum computing.
Companies like Google, IBM, Microsoft, and Quantinuum are continuing to look into different ways to create scalable quantum systems.
However more research will be required to create commercially viable large scale fault tolerant quantum computers.
FAQ’s
-
What were the biggest quantum computing breakthroughs in 2024?
Some of the biggest breakthroughs were Google’s Willow quantum chip, Microsoft and Quantinuum creating reliable logical qubits, IBM improving their Heron processor, and developments in quantum error correction using AI.
-
What is the Google Willow quantum chip?
Google Willow is a 105 qubit quantum processor that was announced in December 2024. It had some key advancements in quantum error correction and quantum computing performance.
-
How is quantum computing different to traditional computing?
Traditional computers use binary bits (0/1) to store data. Quantum computers use qubits which can take advantage of superposition, entanglement, and interference.
-
Can quantum computers replace traditional computers?
No. Quantum computers are designed to solve specific problems. Traditional computers are more practical for everyday uses such as browsing, office work, gaming, and general software.
-
How can quantum computing help healthcare?
It can help with molecular simulations, drug discovery, and pharmaceutical research. This can help scientists look into complex chemical systems.
-
Is quantum computing available commercially?
Yes. There are many companies offering quantum computing systems via the cloud. However large scale fault tolerant quantum computing is still being developed.
-
Why is quantum error correction important?
Quantum error correction can help protect quantum information from errors. This is vital to create reliable quantum computers.
Conclusion
The latest quantum computing breakthroughs show how quickly this technology is developing. Google’s Willow chip, Microsoft partnering with Quantinuum, IBM improving their Heron processor, and developments in error correction using artificial intelligence are all key steps in creating more reliable and powerful quantum systems.
Although quantum computing isn’t ready to replace traditional computers it has some incredible potential for the future. This could help many industries including healthcare, financial modelling, cybersecurity, materials science, and artificial intelligence.
As researchers continue to improve the hardware, software, and error correction techniques quantum computing may become an important part of future scientific and technological innovation. The developments made this year have provided a solid foundation for the next generation of computing.
