Buzz
Quantum computing has become a significant trend in computer science. It’s astonishing to think that this entire field began with the strange behavior of light! Richard Feynman, one of the key pioneers in quantum computing, proposed that quantum computers were not only possible but would shape the future of computing.
Quantum computers have been around for longer than most realize. The first quantum computation took place in 1997 using NMR on chloroform molecules. These days, the term 'quantum' seems to be attached to almost everything. However, there are still some truly mind-blowing uses in the expansive world of quantum technologies.
10. Revolutionizing Cancer Treatment
Cancer remains one of the most prominent causes of death worldwide. According to the World Health Organization (WHO), respiratory cancers alone took 1.7 million lives in 2016. Early detection of cancer significantly increases the chances of successful treatment. Treatment options include surgical removal or radiotherapy, among others.
Beam optimization plays a crucial role in radiotherapy, as it’s essential to minimize damage to healthy cells and tissues surrounding the cancerous area. In the past, classical computers were used for radiotherapy optimization. However, in 2015, researchers from the Roswell Park Cancer Institute developed a new technique using quantum annealing computers, such as those produced by D-Wave, to accelerate the optimization process, achieving speeds three to four times faster than traditional computers.
9. Enhancing Traffic Flow
Many of us have experienced the frustration of waking up early, heading out for work, only to be stuck in a traffic jam. The dreadful fear of being late to work soon follows. Google has been attempting to resolve this issue by monitoring traffic and suggesting alternative routes. However, Volkswagen is taking things a step further with their innovative approach to this problem.
In a 2017 experiment, Volkswagen sought to solve the traffic problem not by monitoring, but by optimizing the traffic flow itself. Using the Quadratic Unconstraint Binary Optimization (QUBO) method combined with quantum annealing computers, they worked on identifying the most efficient routes for a select number of cars and potential paths.
So far, Volkswagen has tested their method with 10,000 taxis in Beijing, showing how their technique can optimize traffic flow much faster than a classical computer. However, there is skepticism surrounding Volkswagen’s claims, as they utilized a D-Wave quantum annealing computer for processing. Many scientists argue that the quantum annealers produced by D-Wave do not provide the significant speedup Volkswagen suggests.
8. Improved Mobile Data Coverage
We’ve all found ourselves in situations where mobile data reception is frustratingly poor, and we end up opting for the slow WiFi at a nearby coffee shop. However, it seems that Booz Allen Hamilton might have discovered a way to solve this terrible network coverage issue, with the aid of quantum computers, of course!
In a 2017 publication, they pointed out that determining optimal satellite coverage is quite a challenge. The difficulty arises from the numerous possible alignment combinations, and checking each one using classical computers is incredibly tough.
Their solution? They propose using the QUBO method, as mentioned earlier, in conjunction with D-Wave’s quantum annealing computers, to identify the best satellite coverage position. While this wouldn’t guarantee that satellites could cover all areas with poor reception, it would significantly increase the chances of finding better reception spots.
7. Simulating Molecules
Molecule simulation plays a vital role in biology and chemistry, helping us understand the structure of molecules and their interactions. It also aids in the discovery of new molecules.
While classical computers can simulate molecular dynamics, there is a limit to the complexity of molecules that can be simulated. Quantum computers break through this limitation. So far, they have been used to simulate small molecules like beryllium hydride (BeH2), which may not seem like much, but the fact that a seven-qubit chip was used shows that with more qubits, we could run much more complex molecular simulations. This is because quantum computing power grows exponentially as more qubits are added.
Other technologies, such as D-Wave’s quantum annealing computers, have also been utilized by researchers to create simulation methods that might match or even outperform current approaches.
6. Break Existing Cryptosystems Beyond RSA
Many have heard the concerns that quantum computers could potentially break cryptosystems like RSA or DSA. This is true for some cryptosystems, as they rely on prime numbers to generate keys based on prime factors. Quantum computers can use Shor’s algorithm to efficiently determine the prime factors that generate the key, making them much more efficient than classical methods.
But what about cryptosystems that don’t rely on prime numbers for key generation? In such cases, Grover’s algorithm could potentially be used to brute-force a key faster than a classical computer. However, this speedup is not as significant as what Shor’s algorithm offers (quadratic vs. exponential speedup). This means that to even attempt to break these cryptosystems, quantum computers far faster than those available today would be necessary.
Even so, there are cryptosystems that quantum computers would be unable to break. These are categorized under “post-quantum cryptography.” However, it seems likely that RSA, a widely used algorithm for digital signatures, would become obsolete.
5. Creating More Humanlike AI
Artificial intelligence is a rapidly growing field in computer science. Researchers have been working to make AI more humanlike through machine learning and neural networks. While this is already impressive, incorporating quantum computers into the mix elevates the possibilities to a whole new level.
Neural networks operate on matrix-based datasets, with computations in these networks based on matrix algebra. Quantum computing inherently utilizes matrices to define and determine the quantum states of qubits. Therefore, any computational task performed on a neural network can be viewed as using transformational quantum gates on qubits. This makes quantum computers an ideal match for the neural networks used in AI.
Moreover, quantum computers can drastically accelerate machine learning processes compared to classical computers. This is why Google has heavily invested in quantum computing research to enhance Google AI through quantum hardware.
4. Quantum Cryptography
Quantum cryptography differs significantly from post-quantum cryptography. While post-quantum cryptography focuses on safeguarding cryptosystems from quantum computers, quantum cryptography employs the principles of quantum mechanics directly. But what makes it more flexible than other cryptographic techniques?
Quantum cryptography primarily targets the key distribution process within a cryptosystem. In this method, two entangled qubits are used: one is sent to the receiver, and the sender retains the other. When these entangled particles, in superposition, are measured, they influence each other. By sending a stream of these qubits, a secure key is created for encryption.
What makes this approach remarkable is that eavesdropping is practically impossible. The qubits cannot be copied, nor can they be measured without detection. There are techniques available to identify any tampering with the qubit before it reaches its intended recipient. This makes quantum cryptography a highly secure method, which is why scientists continue to explore this field.
3. Quantum Computing in Gaming
Given the speed advantages quantum computers bring to the table, gamers might wonder if these machines could be used to create ultra-fast gaming rigs capable of running games at lightning speeds. The short answer? “Sort of.”
Right now, quantum computing is still in its early stages, and current quantum hardware hasn't yet achieved “quantum supremacy”—the point where quantum computers can outpace the most powerful classical systems, although the exact definition is still debated. The reason is that quantum computer algorithms differ significantly from classical ones. That said, quantum gaming still holds potential.
Some games have already been designed to work with quantum computers, such as Quantum Battleships, a quantum version of the classic Battleships game. Moreover, Microsoft is developing a programming language called Q#, which combines both quantum and classical computing. Q# is similar to C#, so it’s very likely that games leveraging quantum hardware could be developed with it. Perhaps we’ll even get to play Call of Duty Q one day!
It’s frustrating when you search for an article only to find it filled with irrelevant ads. Fortunately, Recruit Communications has found a solution for at least one part of this problem—the relevancy of the ads.
In their study, they demonstrated how quantum annealing could assist businesses seeking to expand their reach without overspending on advertising. By using quantum annealing, ads can be effectively matched with the right audience, increasing the likelihood that customers will engage with them.
1. Weather Prediction
We've all experienced checking the forecast and expecting clear skies, only for a sudden downpour to catch us off guard, with no umbrella in sight. Fortunately, quantum computers may have a way to solve this issue.
A paper published by a Russian researcher in 2017 explored how quantum computers might be able to predict weather more accurately than traditional systems. Classical methods struggle to process the vast amounts of data needed to capture all the subtle shifts in weather patterns. Quantum computers, however, promise significant improvements in speed, using Dynamic Quantum Clustering (DQC) to generate data sets that classical computers can't manage.
However, it is important to note that even quantum computers can't offer perfect weather predictions. That said, they should make it less likely that you'll regret leaving your umbrella at home on a bright, yet suspiciously sunny day!
