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Quantum Intelligence

New EpisodeSeason 4 · Episode 4

Quantum Intelligence

If artificial intelligence alone has already changed the world to such an extent, how could quantum computing transform these intelligent models?

Throughout this season of In Search of Quantum Advantage, we have explored the capabilities of quantum computing, its algorithms, its challenges, and the limits of what this branch of technology can do. But there is a reality that has fundamentally transformed our lives today, and it goes beyond hardware and algorithms: artificial intelligence.

AI models have transformed the way we work, learn, make decisions, and even think. These models are becoming increasingly intertwined with our everyday lives. So, if artificial intelligence is already this influential, the big question we are trying to answer in this episode is: Can quantum computing, when combined with artificial intelligence, amplify this transformation many times over? Or are the capabilities of quantum computing in this field limited? Will the next era of the AI revolution be a “Quantum Renaissance,” or are these simply premature promises?

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Will Quantum Algorithms Change Our World?

New EpisodeSeason 4 · Episode 3

Will Quantum Algorithms Change Our World?

When we talk about computers, whether classical or quantum, there is one key element hidden behind everything these machines do: the algorithm.

Simply put, an algorithm is a precise set of instructions for solving a problem. It tells a computer, step by step, what to do with the information it receives until it ultimately produces an answer. Sorting a list of names, finding the shortest path on a map, multiplying two numbers, or simulating the weather—all of these depend on algorithms. The advances of the past 70 years in the world of classical computing have not simply been about making hardware faster; the development of better algorithms has also played a fundamental role in these transformations. In fact, in many cases, a clever algorithm has delivered a far greater speedup than an entirely new generation of processors! And the same is true in the quantum world.

So far, we have talked about quantum computers, but having a powerful quantum system alone is not enough. To achieve any meaningful form of quantum advantage, we need quantum algorithms—the instructions that tell us how to harness interference, superposition, and entanglement to solve problems faster or better than any classical algorithm. After our journey through the world of quantum computers, it is now time to understand how quantum algorithms can bring us to quantum advantage in its precise, scientific sense.

Welcome to Radio Psiket.

Hard Computations!

New EpisodeSeason 4 · Episode 2

Hard Computations!

How powerful are quantum computers, and what exactly gives them their power?

These are big questions, and the reality is that no one yet knows the complete answers. However, thanks to breakthroughs such as Shor’s algorithm for integer factorization, we have reason to believe that quantum computers can be more powerful than classical computers. But it has not yet been proven that quantum computers can solve all the problems that classical computers cannot solve efficiently.

In this episode of the podcast, In Search of Quantum Advantage, we will take a closer look at the power of quantum computing, explore the limitations of quantum computation, and examine what it actually means for a problem to be “hard.” And ultimately, we will ask: What kinds of problems are so hard that perhaps only a quantum computer could solve them?

Quantum Computers and the Future of Computing

New EpisodeSeason 4 · Episode 1

Quantum Computers and the Future of Computing

In the 1940s, the first electronic computers emerged: machines like ENIAC and Colossus that were enormous, power-hungry systems built with vacuum tubes and rudimentary circuits. Yet within just a few decades, computers had spread across the world, eventually becoming so small that systems containing billions of transistors could fit into your pocket in the form of a mobile phone.

From the very beginning of these transformations, scientists had one big question: How far can we keep shrinking these computing systems?

Moore’s Law states that the number of transistors on a chip roughly doubles every two years! Think about that for a moment; Moore’s Law was not merely a prediction. It also came with a warning: there would be a physical limit to how far transistors could be miniaturized. Because once their dimensions reach the atomic scale, quantum mechanics enters the picture; electrons begin to tunnel through barriers, energy levels become unstable, and classical scaling begins to break down.

This may remind you of quantum computers, but there is a subtle point here: quantum mechanics has played a fundamental role in the development of the very classical computers you use today, from the very beginning. Transistors, lasers, and semiconductor physics all rely on quantum effects.

Amid these developments, a controversial lecture by Richard Feynman opened up a new line of research. He argued that if nature itself is quantum mechanical, then to simulate nature efficiently, we should use quantum systems themselves. And that was the spark that set us on the path to where we are today.

In the first episode of Season Four of Radio Psiket, we set out to answer a fundamental question: Is the future of computing really in the hands of quantum computers? And can they deliver on the promise of “Practical Quantum Advantage”?